Full Papers
Learning Efficient Representations of Mouse Movements
toPredict
User Attention in Sponsored Search
Ioannis Arapakis: Telefonica Research; Luis A.
Leiva: Aalto
University
Measuring Recommendation Explanation Quality: The
Conflicting
Goals of Explanations
Krisztian Balog: Google; Filip Radlinski:
Google
Bayesian Inferential Risk Evaluation On Multiple IR
Systems
Rodger Benham: RMIT University; Ben Carterette:
Spotify; J.
Shane Culpepper: RMIT University; Alistair Moffat: The University of Melbourne
Operationalizing the Legal Principle of Data
Minimization for
Personalization
Asia J. Biega: Microsoft Research; Peter Potash:
Microsoft
Research; Hal Daumé III: Microsoft Research and University of Maryland; Fernando
Diaz: Microsoft
Research; Michèle Finck: Max Planck Institute for Innovation and Competition
Training Effective Neural CLIR by Bridging the
Translation
Gap
Hamed Bonab: University of Massachusetts Amherst;
Sheikh
Muhammad Sarwar: University of Massachusetts Amherst; James Allan: University of
Massachusetts
Amherst
How to Measure the Reproducibility of System-oriented
IR
Experiments
Timo Breuer: Technische Hochschule Koeln; Nicola
Ferro:
University of Padova; Norbert Fuhr: University of Duisburg-Essen; Maria Maistro:
University of
Copenhagen; Tetsuya Sakai: Waseda University; Philipp Schaer: Technische Hochschule
Koeln; Ian
Soboroff: NIST
Domain-Adaptive Neural Automated Essay Scoring
Yue Cao: Peking University; Hanqi Jin: Peking
University;
Xiaojun Wan: Peking University; Zhiwei Yu: Peking University
AR-CF: Augmenting Virtual Users and Items in
Collaborative
Filtering for Addressing Cold-Start Problems
Dong-Kyu Chae: Georgia Institute of Technology;
Jihoo Kim:
Hanyang University; Sang-Wook Kim: Hanyang University; Duen Horng Chau: Georgia
Institute of
Technology
A Unified Dual-view Model for Review Summarization and
Sentiment
Classification with Inconsistency Loss
Hou Pong Chan: The Chinese University of Hong Kong;
Wang Chen:
The Chinese University of Hong Kong; Irwin King: The Chinese University of Hong
Kong
Jointly Non-Sampling Learning for Knowledge Graph
Enhanced
Recommendation
Chong Chen: Tsinghua University; Min Zhang: Tsinghua
University;
Weizhi Ma: Tsinghua University; Yiqun Liu: Tsinghua University; Shaoping Ma:
Tsinghua
University
Studying Product Competition Using Representation
Learning
Fanglin Chen: New York University; Xiao Liu: New
York
University; Davide Proserpio: University of Southern California; Isamar Troncoso:
University of
Southern California; Feiyu Xiong: Alibaba Group
Try This Instead: Personalized and Interpretable
Substitute
Recommendation
Tong Chen: The University of Queensland; Hongzhi
Yin: The
University of Queensland; Guanhua Ye: The University of Queensland; Zi Huang: The
University of
Queensland; Yang Wang: Hefei University of Technology; Meng Wang: Hefei University
of
Technology
ESAM: Discriminative Domain Adaptation with
Non-Displayed Items to
Improve Long-Tail Performance
Zhihong Chen: Zhejiang University; Rong Xiao:
Alibaba Group;
Chenliang Li: Wuhan University; Gangfeng Ye: Alibaba Group; Haochuan Sun: Alibaba
Group; Hongbo
Deng: Alibaba Group
Table Search Using a Deep Contextualized Language
Model
Zhiyu Chen: Lehigh University; Mohamed Trabelsi:
Lehigh
University; Jeff Heflin: Lehigh University; Yinan Xu: Shenzhen Zhuiyi Technology;
Brian Davison:
Lehigh University
Convolutional Embedding for Edit Distance
Xinyan Dai: The Chinese University of Hong Kong;
Xiao Yan: The
Chinese University of Hong Kong; Kaiwen Zhou: The Chinese University of Hong Kong;
Yuxuan Wang:
The Chinese University of Hong Kong; Han Yang: The Chinese University of Hong Kong;
James Cheng:
The Chinese University of Hong Kong
How Dataset Characteristics Affect the Robustness of
Collaborative
Recommendation Models
Yashar Deldjoo: Polytechnic University of Bari;
Tommaso Di Noia:
Politecnico di Bari; Felice Antonio Merra: Politecnico di Bari; Eugenio Di Sciascio:
Politecnico
di Bari
Fashion Compatibility Modeling through a Multi-modal
Try-on-guided
Scheme
Xue Dong: Shandong University; Jianlong Wu: Shandong
University;
Xuemeng Song: Shandong University; Hongjun Dai: Shandong University; Liqiang Nie:
Shandong
University
What Makes a Top-Performing Precision Medicine Search
Engine?
Tracing Main System Features in a Systematic Way
Erik Faessler: JULIE Lab Jena; Michel Oleynik:
Medical
University of Graz; Udo Hahn: Jena University
HME: A Hyperbolic Metric Embedding Approach for
Next-POI
Recommendation
Shanshan Feng: Inception Institute of Artificial
Intelligence;
Lucas Vinh Tran: Nanyang Technological University; Gao Cong: Nanyang Technological
University;
Lisi Chen: Inception Institute of Artificial Intelligence; Jing Li: Inception
Institute of
Artificial Intelligence; Fan Li: Fraunhofer Singapore
Using Phoneme Representations to Build Predictive
Models Robust to
ASR Errors
Anjie Fang: Amazon; Simone Filice: Amazon; Nut Limsopatham: Microsoft; Oleg Rokhlenko: Amazon
Fairness-Aware Explainable Recommendation over
Knowledge
Graphs
Zuohui Fu: Rutgers University; Yikun Xian: Rutgers
University;
Ruoyuan Gao: Rutgers University; Jieyu Zhao: University of California, Los Angeles;
Qiaoying
Huang: Rutgers University; Yingqiang Ge: Rutgers University; Shuyuan Xu: Rutgers
University;
Shijie Geng: Rutgers University; Chirag Shah: University of Washington; Yongfeng
Zhang: Rutgers
University; Gerard de Melo: Rutgers University
Query Rewriting for Voice Shopping Null Queries
Iftah Gamzu: Amazon; Marina Haikin: Tel Aviv
university; Nissim
Halabi: Amazon
DPLCF: Differentially Private Local Collaborative
Filtering
Chen Gao: Tsinghua University; Chao Huang: Tsinghua
University;
Dongsheng Lin: Tsinghua University; Yong Li: Tsinghua University; Depeng Jin:
Tsinghua
University
Pairwise View Weighted Graph Network for View-based 3D
Model
Retrieval
Zan Gao: Qilu University of Technology (Shandong
Academic of
Sciences); Yin-Ming Li: Tianjin University of Technology; Wei-Li Guan: Monash
University Clayton
Campus; Wei-Zhi Nie: Tianjin University of Technology; Zhi-Yong Cheng: Qilu
University of
Technology (Shandong Academic of Sciences); An-An Liu: Tianjin University of
Technology
Detecting User Community in Sparse Domain via
Cross-Graph Pairwise
Learning
Zheng Gao: Indiana University Bloomington; Hongsong
Li: Alibaba
Group; Zhuoren Jiang: Sun Yat-sen University; Xiaozhong Liu: indiana university
bloomington
Learning Personalized Risk Preferences for
Recommendation
Yingqiang Ge: Rutgers University; Shuyuan Xu:
Rutgers
University; Shuchang Liu: Rutgers University; Zuohui Fu: Rutgers University; Fei
Sun: Alibaba
Group; Yongfeng Zhang: Rutgers University
Attentional Graph Convolutional Networks for Knowledge
Concept
Recommendation in MOOCs in a Heterogeneous View
Jibing Gong: School of Information Science and
Engineering,
Yanshan University; Shen Wang: UIC; Jinlong Wang: School of Information Science and
Engineering,
Yanshan University; Hao Peng: Beihang University; Wenzheng Feng: Tsinghua
University; Dan Wang:
School of Information Science and Engineering, Yanshan University; Yi Zhao: School
of
Information Science and Engineering, Yanshan University; Huanhuan Li: School of
Information
Science and Engineering, Yanshan University; Jie Tang: Tsinghua University; P. Yu:
UIC
Ranking-Incentivized Quality Preserving Content
Modification
Gregory Goren: Technion; Oren Kurland: Technion,
Israel
Institute of Technology; Moshe Tennenholtz: Technion; Fiana Raiber: Yahoo
Research
On Understanding Data Worker Interaction
Behaviors
Lei Han: The University of Queensland; Tianwa Chen:
The
University of Queensland; Gianluca Demartini: The University of Queensland; Marta
Indulska: The
University of Queensland; Shazia Sadiq: The University of Queensland
Content-aware Neural Hashing for Cold-start
Recommendation
Casper Hansen: University of Copenhagen, Department
of Computer
Science; Christian Hansen: University of Copenhagen; Jakob Grue Simonsen: Department
of Computer
Science, University of Copenhagen; Stephen Alstrup: University of Copenhagen;
Christina Lioma:
University of Copenhagen
Neural Representation Learning for Clarification in
Conversational
Search
Helia Hashemi: University of Massachusetts Amherst;
Hamed
Zamani: Microsoft; Bruce Croft: University of Massachusetts Amherst
Creating a Children-Friendly Reading Environment via
Joint
Learning of Content and Human Attention
Guoxiu He: Wuhan University; Yangyang Kang: Alibaba
Group;
Zhuoren Jiang: Sun Yat-sen University; Jiawei Liu: Wuhan University; Changlong Sun:
Alibaba
Group; Xiaozhong Liu: Indiana University Bloomington; Wei Lu: Wuhan University
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He: University of Science and Technology of
China; Kuan
Deng: University of Science and Technology of China; Xiang Wang: National University
of
Singapore; Yan Li: Kuaishou Inc.; Yongdong Zhang: University of Science and
Technology of China;
Meng Wang: Hefei University of Technology
GAME: Learning Graphical and Attentive Multi-view
Embeddings for
Occasional Group Recommendation
Zhixiang He: City University of Hong Kong; Chi-Yin
Chow: City
University of Hong Kong; Jia-Dong Zhang: City University of Hong Kong
Query Reformulation in E-Commerce Search
Sharon Hirsch: Technion - Israel Institute of
Technology; Ido
Guy: eBay Research; Alexander Nus: eBay Research; Arnon Dagan: eBay Research; Oren
Kurland:
Technion - Israel Institute of Technology
Modeling Personalized Item Frequency Information for
Next-basket
Recommendation
Haoji Hu: University of Minnesota, Twin Cities;
Xiangnan He:
University of Science and Technology of China; Jinyang Gao: Alibaba Inc.; Zhi-Li
Zhang:
University of Minnesota, Twin Cities
Towards Linking Camouflaged Descriptions to Implicit
Products in
E-commerce
Longtao Huang: Alibaba Group; Bo Yuan: Alibaba
Group; Rong
Zhang: Alibaba Group; Quan Lu: Alibaba Group
BiANE: Bipartite Attributed Network Embedding
Wentao Huang: Renmin University of China; Yuchen Li:
Singapore
Management University; Yuan Fang: Singapore Management University; Ju Fan: Renmin
University of
China; Hongxia Yang: DAMO Academy, Alibaba Group
Accelerated Convergence for Counterfactual Learning to
Rank
Rolf Jagerman: University of Amsterdam; Maarten de
Rijke:
University of Amsterdam
A Quantum Interference Inspired Neural Matching Model
for Ad-hoc
Retrieval
Yongyu Jiang: Tianjin University; Peng Zhang:
Tianjin
University; Hui Gao: Tianjin University; Dawei Song: Beijing Institute of
Technology
Multi-behavior Recommendation with Graph Convolution
Networks
Bowen Jin: Tsinghua University; Chen Gao: Tsinghua
University;
Xiangnan He: University of Science and Technology of China; Yong Li: Tsinghua
University; Depeng
Jin: Tsinghua University
A Deep Recurrent Survival Model for Unbiased
Ranking
Jiarui Jin: Shanghai Jiao Tong University; Yuchen
Fang: Shanghai
Jiao Tong University; Weinan Zhang: Shanghai Jiao Tong University; Kan Ren:
Microsoft; Guorui
Zhou: Alibaba; Jian Xu: Alibaba; Yong Yu: Shanghai Jiao Tong University; Jun Wang:
University
College London; Xiaoqiang Zhu: Alibaba; Kun Gai: Alibaba
ADORE: Aspect Dependent Online REview Labeling for
Review
Generation
Parisa Kaghazgaran: Texas A&M University;
Jianling Wang:
Texas A&M University; Ruihong Huang: Texas A&M University; James Caverlee:
Texas A&M
University
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab: Stanford University; Matei Zaharia:
Stanford
University
Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval
Omar Khattab: Stanford University; Mohammad Hammoud:
Carnegie
Mellon University in Qatar; Tamer Elsayed: Qatar University
Humor Detection in Product Question Answering
Systems
Elad Kravi: Amazon; David Carmel: Amazon; Yftah
Ziser:
Amazon
Transfer Learning via Contextual Invariants for
One-to-Many
Cross-Domain Recommendation
Adit Krishnan: University of Illinois at
Urbana-Champaign;
Mahashweta Das: Visa Research; Mangesh Bendre: Visa Research; Hao Yang: Visa
Research; Hari
Sundaram: University of Illinois at Urbana-Champaign
ASiNE: Adversarial Signed Network Embedding
Yeon-Chang Lee: Hanyang University; Nayoun Seo:
Hanyang
University; Sang-Wook Kim: Hanyang University; Kyungsik Han: Ajou University
Hierarchical Fashion Graph Network for Personalised
Outfit
Recommendation
Xingchen Li: Zhejiang University; Xiang Wang:
National
University of Singapore; Xiangnan He: University of Science and Technology of China;
Long Chen:
Zhejiang University; Jun Xiao: Zhejiang University; Tat-Seng Chua: National
University of
Singapore
Meta Matrix Factorization for Federated Rating
Predictions
Yujie Lin: Shandong University; Pengjie Ren:
University of
Amsterdam; Zhumin Chen: Shandong University; Zhaochun Ren: Shandong University;
Dongxiao Yu:
Shandong University; Jun Ma: Shandong University; Maarten de Rijke: University of
Amsterdam;
Xiuzhen Cheng: Shandong University
AutoGroup: Automatic Feature Grouping for Modelling
Explicit
High-Order Feature Interactions in CTR Prediction
Bin Liu: Bytedance; Niannan Xue: Huawei Noah's Ark
Lab; Huifeng
Guo: Huawei Noah's Ark Lab; Ruiming Tang: Huawei Noah's Ark Lab; Stefanos Zafeiriou:
Imperial
College London; Xiuqiang He: Huawei Noah's Ark Lab; Zhenguo Li: Huawei Noah's Ark
Lab
A General Knowledge Distillation Framework for
Counterfactual
Recommendation via Uniform Data
Dugang Liu: Shenzhen University; Pengxiang Cheng:
Huawei Noah's
ark lab; Zhenhua Dong: Huawei Noah's ark lab; Xiuqiang He: Huawei Noah's ark lab;
Weike Pan:
Shenzhen University; Zhong Ming: Shenzhen University
DVGAN: A Minimax Game for Search Result
Diversification Combining
Explicit and Implicit Features
Jiongnan Liu: Renmin University of China; Zhicheng
Dou: Renmin
University of China; Xiaojie Wang: University of Melbourne; Shuqi Lu: Renmin
University of
China; Ji-Rong Wen: Renmin University of China
Investigating Reference Dependence Effects on User
Search
Interaction and Satisfaction
Jiqun Liu: Rutgers University; Fangyuan Han: Xiamen
University
Joint-modal Distribution-based Similarity Hashing for
Large-scale
Unsupervised Deep Cross-modal Retrieval
Song Liu: School of Electronic and Computer
Engineering, Peking
University; Shengsheng Qian: National Lab of Pattern Recognition, Institute of
Automation,
Chinese Academy of Sciences; Yang Guan: iQIYI ltd; Jiawei Zhan: School of Electronic
and
Computer Engineering, Peking University; Long Ying: School of Computer and Software,
Nanjing
University of Information Science & Technology
Certifiable Robustness to Discrete Adversarial
Perturbations for
Factorization Machines
Yang Liu: Sun Yat-sen University; Xianzhuo Xia: Sun
Yat-sen
University; Liang Chen: Sun Yat-sen University; Xiangnan He: University of Science
and
Technology of China; Carl Yang: University of Illinois, Urbana Champaign; Zibin
Zheng: Sun
Yat-sen University
Octopus: Comprehensive and Elastic User Representation
for the
Generation of Recommendation Candidates
Zheng Liu: MSRA; Junhan Yang: USTC; Jianxun Lian:
MSRA; Defu
Lian: USTC; Xing Xie: MSRA
Knowledge Enhanced Personalized Search
Shuqi Lu: Renmin University of China; Zhicheng Dou:
Renmin
University of China; Chenyan Xiong: Microsoft Research; Xiaojie Wang: University of
Melbourne;
Ji-Rong Wen: Renmin University of China
Spatial Object Recommendation with Hints: When Spatial
Granularity
Matters
Hui Luo: RMIT University; Jingbo Zhou: Business
Intelligence
Lab, Baidu Research; Zhifeng Bao: RMIT University; Shuangli Li: Business
Intelligence Lab, Baidu
Research; J. Shane Culpepper: RMIT University; Haochao Ying: Business Intelligence
Lab, Baidu
Research; Hao Liu: Business Intelligence Lab, Baidu Research; Hui Xiong: Business
Intelligence
Lab, Baidu Research
Deep Critiquing for VAE-based Recommender Systems
Kai Luo: University of Toronto; Hojin Yang:
University of
Toronto; Ga Wu: University of Toronto; Scott Sanner: University of Toronto
Learning Dynamic Node Representations with Graph
Neural
Networks
Yao Ma: Michigan State University; Ziyi Guo: JD.com;
Zhaochun
Ren: Shangdong University; Jiliang Tang: Michigan State University; Dawei Yin:
Baidu Inc.
Training Curricula for Open Domain Answer
Re-Ranking
Sean MacAvaney: Georgetown University; Franco Maria
Nardini:
ISTI-CNR; Raffaele Perego: ISTI-CNR; Nicola Tonellotto: University of Pisa; Nazli
Goharian:
Georgetown University; Ophir Frieder: Georgetown University
Efficient Document Re-Ranking for Transformers by
Precomputing
Term Representations
Sean MacAvaney: Georgetown University; Franco Maria
Nardini:
ISTI-CNR; Raffaele Perego: ISTI-CNR; Nicola Tonellotto: University of Pisa; Nazli
Goharian:
Georgetown University; Ophir Frieder: Georgetown University
Learning Colour Representations of Search Queries
Paridhi Maheshwari: Adobe Research; Manoj Ghuhan A:
Adobe
Research; Vishwa Vinay: Adobe Research
Agreement and Disagreement between True and
False-Positive Metrics
in Recommender Systems Evaluation
Elisa Mena-Maldonado: RMIT University; Rocío
Cañamares:
Universidad Autónoma de Madrid; Pablo Castells: Universidad Autónoma de Madrid;
Yongli Ren: RMIT
University; Mark Sanderson: RMIT University
DukeNet: A Dual Knowledge Interaction Network for
Knowledge-Grounded Conversation
Chuan Meng: Shandong University; Pengjie Ren:
University of
Amsterdam; Zhumin Chen: Shandong University; Weiwei Sun: Shandong University;
Zhaochun Ren:
Shandong University; Zhaopeng Tu: Tencent AI Lab; Maarten de Rijke: University of
Amsterdam
Incorporating User Micro-behaviors and Item Knowledge
into
Multi-task Learning for Session-based Recommendation
Wenjing Meng: Fudan university; Deqing Yang: Fudan
University;
Yanghua Xiao: Fudan university
A Reinforcement Learning Framework for Relevance
Feedback
Ali Montazeralghaem: University of Massachusetts
Amherst; Hamed
Zamani: Microsoft AI Research; James Allan: University of Massachusetts Amherst
Controlling Fairness and Bias in Dynamic Ranking
Marco Morik: Cornell University; Ashudeep Singh:
Cornell
University; Jessica Hong: Cornell University; Thorsten Joachims: Cornell
University
Recommending Podcasts for Cold-Start Users Based on
Music
Listening and Taste
Zahra Nazari: Spotify; Christophe Charbuillet:
Spotify; Johan
Pages: Spotify; Martin Laurent: Spotify; Denis Charrier: Spotify; Briana Vecchione:
Cornell
University; Benjamin Carterette: Spotify
Policy-Aware Unbiased Learning to Rank for Top-k
Rankings
Harrie Oosterhuis: University of Amsterdam; Maarten
de Rijke:
University of Amsterdam
An Eye Tracking Study of Web Search by People with and
without
Dyslexia
Srishti Palani: UCSD; Adam Fourney: Microsoft
Research; Shane
Williams: Microsoft Research; Kevin Larson: Micorosoft Research; Irina Spiridonova:
Microsoft
Research; Meredith Ringel Morris: Microsoft Research
SetRank: Learning a Permutation-Invariant Ranking
Model for
Information Retrieval
Liang Pang: ICT; Jun Xu: School of Information,
Renmin
University of China; Qingyao Ai: University of Utah; Yanyan Lan: ICT; Xueqi Cheng:
Institute of
Computing Technology, CAS, P. R. China; Ji-Rong Wen: Renmin University
Leveraging Social Media for Medical Text
Simplification
Nikhil Pattisapu: IIIT Hyderabad; Nishant Prabhu:
IIIT
Hyderabad; Smriti Bhati: IIIT Hyderabad; Vasudeva Varma: IIIT Hyderabad
The Cortical Activity of Graded Relevance
Zuzana Pinkosova: Miss; William McGeown: University
of
Strathclyde; Yashar Moshfeghi: University of Strathclyde
Enhancing Text Classification via Discovering
Additional Semantic
Clues from Logograms
Chen Qian: Tsinghua University; Fuli Feng: National
University
of Singapore; Lijie Wen: Tsinghua University; Li Lin: Tsinghua University; Tat-Seng
Chua:
National University of Singapore
What If Bots Feel Moods? Towards Controllable
Retrieval-based
Dialogue Systems with Emotion-Aware Transition Networks
Lisong Qiu: Peking University; Ying Wai Shiu:
Microsoft XiaoIce;
Pingping Lin: Microsoft XiaoIce; Ruihua Song: Microsoft XiaoIce; Yue Liu: Microsoft
XiaoIce;
Dongyan Zhao: Peking University; Rui Yan: Peking University
GAG: Global Attributed Graph Neural Network for
Streaming
Session-based Recommendation
Ruihong Qiu: The University of Queensland; Hongzhi
Yin: The
University of Queensland; Zi Huang: The University of Queensland; Tong Chen: The
University of
Queensland
Open-Retrieval Conversational Question Answering
Chen Qu: University of Massachusetts Amherst; Liu
Yang:
University of Massachusetts Amherst; Cen Chen: Ant Financial Services Group; Minghui
Qiu:
Alibaba; W. Bruce Croft: University of Massachusetts Amherst; Mohit Iyyer:
University of
Massachusetts Amherst
Sequential Recommendation with Self-attentive
Multi-adversarial
Network
Ruiyang Ren: Renmin University of China; Zhaoyang
Liu: Alibaba
Group; Yaliang Li: Alibaba Group; Wayne Xin Zhao: Renmin University of China; Hui
Wang: Renmin
University of China; Bolin Ding: Alibaba Group; Ji-Rong Wen: Renmin University of
China
Can The Crowd Identify Misinformation Objectively? The
Effects of
Judgments Scale and Assessor's Bias
Kevin Roitero: University of Udine; Michael Soprano:
University
of Udine; Shaoyang Fan: The University of Queensland; Damiano Spina: RMIT
University; Stefano
Mizzaro: University of Udine; Gianluca Demartini: The University of Queensland
Distributed Equivalent Substitution Training for
Large-Scale
Recommender Systems
Haidong Rong: Tencent; Yangzihao Wang: Tencent;
Feihu Zhou:
Tencent; Junjie Zhai: Tencent; Haiyang Wu: Tencent; Rui Lan: Tencent; Fan Li:
Tencent; Han
Zhang: Tencent; Yuekui Yang: Tencent; Zhenyu Guo: Tencent; Di Wang: Tencent
Asymmetric Tri-training for Debiasing
Missing-Not-At-Random
Explicit Feedback
Yuta Saito: Tokyo Institute of Technology
Good Evaluation Measures based on Document
Preferences
Tetsuya Sakai: Waseda University; Zhaohao Zeng:
Waseda
University
GroupIM: A Mutual Information Maximizing Framework for
Neural
Group Recommendation
Aravind Sankar: University of Illinois,
Urbana-Champaign;
Yanhong Wu: Visa Research; Yuhang Wu: Visa Research; Wei Zhang: Visa Research; Hao
Yang: Visa
Research; Hari Sundaram: University of Illinois at Urbana-Champaign
The Impact of More Transparent Interfaces on Behavior
in
Personalized Recommendation
Tobias Schnabel: Microsoft; Paul Bennett: Microsoft;
Saleema
Amershi: Microsoft; Peter Bailey: Microsoft; Thorsten Joachims: Cornell
University
Learning to Ask Screening Questions for Job
Postings
Baoxu Shi: LinkedIn; Shan Li: LinkedIn; Jaewon Yang:
LinkedIn;
Mustafa Emre Kazdagli: LinkedIn; Qi He: LinkedIn
Beyond User Embedding Matrix: Learning to Hash for
Modeling
Large-Scale Users in Recommendation
Shaoyun Shi: Tsinghua University; Weizhi Ma:
Tsinghua
University; Min Zhang: Tsinghua University; Yongfeng Zhang: Rutgers University;
Xinxing Yu:
Zhihu; Houzhi Shan: Zhihu; Yiqun Liu: Tsinghua University; Shaoping Ma: Tsinghua
University
Web Table Retrieval using Multimodal Deep
Learning
Roee Shraga: Technion - Israel Institute of
Technology; Haggai
Roitman: IBM Research; Guy Feigenblat: IBM Research; Mustafa Canim: IBM
Research
Learning with Weak Supervision for Email Intent
Detection
Kai Shu: Arizona State University; Subhabrata
Mukherjee:
Microsoft; Guoqing Zheng: Microsoft; Ahmed Hassan Awadallah: Microsoft; Milad
Shokouhi:
Microsoft; Susan Dumais: Microsoft
3D Self-Attention for Unsupervised Video
Quantization
Jingkuan Song: uestc; Ruimin Lang: uestc; Xiaosu
Zhu: uestc;
Xing Xu: University of Electronic Science and Technology of China; Lianli Gao:
uestc; Heng Tao
Shen: University of Electronic Science and Technology of China
Neighbor Interaction Aware Graph Convolution Networks
for
Recommendation
Jianing Sun: Huawei Technologies Canada; Yingxue
Zhang: Huawei
Technologies Canada; Wei Guo: Huawei Noah's Ark Lab; Huifeng Guo: Huawei Noah's Ark
Lab; Ruiming
Tang: Huawei Noah's Ark Lab; Xiuqiang He: Huawei Noah's Ark Lab; Chen Ma: McGill
University;
Mark Coates: McGill University
Dual Sequential Network for Temporal Sets
Prediction
Leilei Sun: Beihang University; Yansong Bai: Beihang
University;
Bowen Du: Beihang University; Chuanren Liu: University of Tennessee; Hui Xiong:
Rutgers
University; Weifeng Lv: Beihang University
A General Network Compression Framework for Sequential
Recommender
Systems
Yang Sun: Shenzhen Institutes of Advanced
Technology, Chinese
Academy of Sciences; Fajie Yuan: Tencent; Min Yang: Shenzhen Institutes of Advanced
Technology,
Chinese Academy of Sciences; Guoao Wei: Shenzhen Institutes of Advanced Technology,
Chinese
Academy of Sciences; Zhou Zhao: Zhejiang University; Duo Liu: Shenzhen Institutes of
Advanced
Technology, Chinese Academy of Sciences
MVIN: Learning multiview items for recommendation
Chang-You Tai: Academic Sinica; Meng-Ru Wu: Academia
Sinica;
Yun-Wei Chu: Acadamic Sinica; Shao-Yu Chu: Academia Sinica; Lun-Wei Ku: Institute of
Information
Science, Academia Sinica
Expressions of Style in Information Seeking
Conversation with an
Agent
Paul Thomas: Microsoft; Daniel Mcduff: Microsoft;
Mary
Czerwinski: Microsoft; Nick Craswell: Microsoft
Product Bundle Identification using Semi-Supervised
Learning
Hen Tzaban: Ben-Gurion University of the Negev; Ido
Guy: eBay
Research; Asnat Greenstein-Messica: Ben-Gurion University of the Negev; Arnon Dagan:
eBay
Research; Lior Rokach: Ben-Gurion University of the Negev; Bracha Shapira:
Ben-Gurion University
of the Negev
Generating Images Instead of Retrieving them:
Relevance feedback
on Generative Adversarial Networks
Antti Ukkonen: University of Helsinki; Pyry Joona:
University of
Helsinki; Tuukka Ruotsalo: University of Helsinki
Query Resolution for Conversational Search with
Limited
Supervision
Nikos Voskarides: University of Amsterdam; Dan Li:
University of
Amsterdam; Pengjie Ren: University of Amsterdam; Evangelos Kanoulas: University of
Amsterdam;
Maarten de Rijke: University of Amsterdam
Make It a CHORUS: Context- and Knowledge-aware Item
Modeling for
Recommendation
Chenyang Wang: Tsinghua University; Min Zhang:
Tsinghua
University; Weizhi Ma: Tsinghua University; Yiqun Liu: Tsinghua University; Shaoping
Ma:
Tsinghua University
Online Collective Matrix Factorization Hashing for
Large-Scale
Cross-Media Retrieval
Di Wang: Xidian University; Quan Wang: Xidian
University;
Yaqiang An: Xidian University; Xinbo Gao: Xidian University; Yumin Tian: Xidian
University
Next-item Recommendation with Sequential
Hypergraphs
Jianling Wang: Texas A&M University; Kaize Ding:
Arizona
State University; Liangjie Hong: Etsy Inc.; Huan Liu: Arizona State University;
James Caverlee:
Texas A&M University
KERL: A Knowledge-Guided Reinforcement Learning Model
for
Sequential Recommendation
Pengfei Wang: Beijing University of Posts and
Telecommunications; Yu Fan: Beijing University of Posts and Telecommunications; Long
Xia: School
of Information Technology, York University; Wayne Xin Zhao: School of Information,
Renmin
University of China; Shaozhang Niu: BUPT; Jimmy Huang: School of Information
Technology, York
University
Coding Electronic Health Records with Adversarial
Reinforcement
Path Generation
Shanshan Wang: Shandong University; Pengjie Ren:
University of
Amsterdam; Zhumin Chen: Shandong University; Zhaochun Ren: Shandong University;
Jian-Yun Nie:
Université de Montréal; Jun Ma: Shandong University; Maarten de Rijke: University of
Amsterdam
Group-Aware Long- and Short-Term Graph Representation
Learning for
Sequential Group Recommendation
Wen Wang: East China Normal University; Wei Zhang:
East China
Normal University; Jun Rao: Search Product Center, WeChat Search Application
Department,
Tencent; Zhijie Qiu: Search Product Center, WeChat Search Application Department,
Tencent; Bo
Zhang: Search Product Center, WeChat Search Application Department, Tencent; Leyu
Lin: Search
Product Center, WeChat Search Application Department, Tencent; Hongyuan Zha: Georgia
Institute
of Technology
Disentangled Representations for Graph-based
Collaborative
Filtering
Xiang Wang: National University of Singapore; Hongye
Jin: Peking
University; An Zhang: National University of Singapore; Xiangnan He: University of
Science and
Technology of China; Tong Xu: University of Science and Technology of China;
Tat-Seng Chua:
National University of Singapore
Evolutionary Product Description Generation: A Dynamic
Fine-Tuning
Approach Leveraging User Click Behavior
Yongzhen Wang: Indiana University Bloomington; Jian
Wang:
Alibaba Group; Heng Huang: Alibaba Group; Hongsong Li: Alibaba Group; Xiaozhong Liu:
Indiana
University Bloomington
CKAN: Collaborative Knowledge-aware Attentive Network
for
Recommender Systems
Ze Wang: Beihang University; Lin Guangyan: Beihang
University;
Huobin Tan: Beihang University; Qinghong Chen: Beihang University; Xiyang Liu:
Beihang
University
Global Context Enhanced Graph Nerual Networks for
Session-based
Recommendation
Ziyang Wang: Huazhong University of Science and
Technology; Wei
Wei: Huazhong University of Science and Technology; Cong Gao: Nanyang Technological
University;
Xiaoli Li: Institute for Infocomm Research; Xianling Mao: Beijing Institute of
Technology;
Minghui Qiu: Alibaba Group
Match$^2$: A Matching over Matching Model for Similar
Question
Identification
Zizhen Wang: Institute of Computing Technology,
Chinese Academy
of Science; Yixing Fan: Institute of Computing Technology, Chinese Academy of
Science; Jiafeng
Guo: Institute of Computing Technology, Chinese Academy of Science; Liu Yang:
University of
Massachusetts Amherst; Ruqing Zhang: Institute of Computing Technology, Chinese
Academy of
Science; Yanyan Lan: Institute of Computing Technology, Chinese Academy of Science;
Xueqi Cheng:
Institute of Computing Technology, CAS, P. R. China; Hui Jiang: Alibaba Group;
Xiaozhao Wang:
Alibaba Group
Learning to Transfer Graph Embeddings for Inductive
Graph based
Recommendation
Le Wu: Hefei University of Technology; Yonghui Yang:
Hefei
University of Technology; Lei Chen: Hefei University of Technology; Defu Lian:
Unversity of
Science and Technology of China; Richang Hong: Hefei University of Technology; Meng
Wang: Hefei
University of Technology
Joint Item Recommendation and Attribute Inference: An
Adaptive
Graph Convolutional Network Approach
Le Wu: Hefei University of Technology; Yonghui Yang:
Hefei
University of Technology; Kun Zhang: Hefei University of Technology; Richang Hong:
Hefei
University of Technology; Yanjie Fu: University of Central Florida; Meng Wang: Hefei
University
of Technology
Preference-based Evaluation Metrics for Web Image
Search
Xiaohui Xie: Tsinghua University; Jiaxin Mao:
Tsinghua
University; Yiqun Liu: Tsinghua University; Maarten de Rijke: University of
Amsterdam; Haitian
Chen: Tsinghua University; Min Zhang: Tsinghua University; Shaoping Ma: Tsinghua
University
Self-Supervised Reinforcement Learning for Recommender
Systems
Xin Xin: University of Glasgow; Alexandros
Karatzoglou: Google
London; Ioannis Arapakis: Telefonica Research; Joemon Jose: University of
Glasgow
Reinforcement Learning to Rank with Pairwise Policy
Gradient
Jun Xu: Renmin University of China; Zeng Wei:
Institute of
Computing Technology; Long Xia: School of Information Technology, York University;
Yanyan Lan:
ICT; Dawei Yin: Baidu Inc.; Xueqi Cheng: Institute of Computing Technology, Chinese
Academy of
Sciences; Ji-Rong Wen: Renmin University
Correlated Features Synthesis and Alignment for
Zero-shot
Cross-modal Retrieval
Xing Xu: University of Electronic Science and
Technology of
China; Kaiyi Lin: University of Electronic Science and Technology of China; Huimin
Lu: Kyushu
Institute of Technology; Lianli Gao: University of Electronic Science and Technology
of China;
Heng Tao Shen: University of Electronic Science and Technology of China
Generative Attribute Manipulation Scheme for Flexible
Fashion
Search
Xin Yang: Shandong University; Xuemeng Song:
Shandong
University; Xianjing Han: Shandong University; Haokun Wen: Shandong University; Jie
Nie: Ocean
University of China; Liqiang Nie: Shandong University
Tree-augmented Cross-Modal Encoding for Complex-Query
Video
Retrieval
Xun Yang: National University of Singapore; Jianfeng
Dong:
Zhejiang Gongshang University; Yixin Cao: National University of Singapore; Xun
Wang: Zhejiang
Gongshang University; Meng Wang: Hefei University of Technology; Tat-Seng Chua:
National
University of Singapore
Nonlinear Robust Discrete Hashing for Cross-Modal
Retrieval
Zhan Yang: Central South University; Jun Long:
Central South
University; Lei Zhu: Central South University; Wenti Huang: Central South
University
Employing Personal Word Embeddings for Personalized
Search
Jing Yao: Renmin University of China; Zhicheng Dou:
Renmin
University of China; Ji-Rong Wen: Renmin University
Time Matters: Sequential Recommendation with Complex
Temporal
Information
Wenwen Ye: Tsinghua University; Shuaiqiang Wang:
JD.COM; Xu
Chen: Tsinghua University; Xuepeng Wang: JD.COM; Zheng Qin: Tsinghua University;
Dawei Yin:
Baidu Inc.
Sampler Design for Implicit Feedback Data by
Noisy-label Robust
Learning
Wenhui Yu: Tsinghua University; Zheng Qin: Tsinghua
University
Parameter-Efficient Transfer from Sequential Behaviors
for User
Modeling and Recommendation
Fajie Yuan: Tencent; Xiangnan He: University of
Science and
Technology of China; Alexandros Karatzoglou: Google; Liguang Zhang: Tencent
Efficient Graph Query Processing over Geo-Distributed
Datacenters
Ye Yuan: Beijing Institute of Technology; Delong Ma:
Northeastern University; Zhenyu Wen: Newcastle University; Yuliang Ma: Northeastern
University;
Guoren Wang: Beijing Institute of Technology; Lei Chen: Hong Kong University of
Science and
Technology
Spatio-Temporal Dual Graph Attention Network for
Query-POI
Matching
Zixuan Yuan: Rutgers University; Hao Liu: Business
Intelligence
Lab, Baidu Research; Yanchi Liu: yanchi.liu@rutgers.edu; Denghui Zhang: Rutgers
University; Fei
Yi: Northwestern Polytechnical University; Nengjun Zhu: Shanghai Jiao Tong
University; Hui
Xiong: Rutgers University
Analyzing and Learning from User Interactions for
Search
Clarification
Hamed Zamani: Microsoft; Bhaskar Mitra: Microsoft;
Everest Chen:
Microsoft; Gord Lueck: Microsoft; Fernando Diaz: Microsoft; Paul Bennett: Microsoft;
Nick
Craswell: Microsoft; Susan Dumais: Microsoft
Degree-Aware Alignment for Entities in Tail
Weixin Zeng: National University of Defense
Technology; Xiang
Zhao: National University of Defense Technology; Wei Wang: The University of New
South Wales;
Jiuyang Tang: National University of Defense Technology; Zhen Tan: National
University of
Defense Technology
Models Versus Satisfaction: Towards a Better
Understanding of
Evaluation Metrics
Fan Zhang: Tsinghua University; Jiaxin Mao: Tsinghua
University;
Yiqun Liu: Tsinghua University; Xiaohui Xie: Tsinghua University; Weizhi Ma:
Tsinghua
University; Min Zhang: Tsinghua University; Shaoping Ma: Tsinghua University
Cascade or Recency: Constructing Better Evaluation
Metrics for
Session Search
Fan Zhang: Tsinghua University; Jiaxin Mao: Tsinghua
University;
Yiqun Liu: Tsinghua University; Weizhi Ma: Tsinghua University; Min Zhang: Tsinghua
University;
Shaoping Ma: Tsinghua University
Web-to-Voice Transfer for Product Recommendation on
Voice
Rongting Zhang: Amazon; Jie Yang: Amazon
Research
GCN-Based User Representation Learning for Unifying
Robust
Recommendation and Fraudster Identification
Shijie Zhang: The University of Queensland; Hongzhi
Yin: The
University of Queensland; Tong Chen: The University of Queensland; Nguyen Quoc Viet
Hung:
Griffith University; Zi Huang: The University of Queensland; Lizhen Cui: Shandong
University
Answer Ranking for Product-Related Questions via
Multiple Semantic
Relations Modeling
Wenxuan Zhang: The Chinese University of Hong Kong;
Yang Deng:
The Chinese University of Hong Kong; Wai Lam: The Chinese University of Hong
Kong
How to Retrain a Recommender System?
Yang Zhang: university of science and technology of
china;
Xiangnan He: university of science and technology of china; Fuli Feng: National
University of
Singapore; Chenxu Wang: university of science and technology of china; Meng Wang:
Hefei
University of Technology; Yan Li: Kuaishou Inc.; Yongdong Zhang: University of
Science and
Technology of China
Minimally Supervised Categorization of Text with
Metadata
Yu Zhang: University of Illinois at
Urbana-Champaign; Yu Meng:
University of Illinois at Urbana-Champaign; Jiaxin Huang: University of Illinois at
Urbana-Champaign; Frank F. Xu: Carnegie Mellon University; Xuan Wang: University of
Illinois at
Urbana-Champaign; Jiawei Han: University of Illinois at Urbana-Champaign
CATN: Cross-Domain Recommendation for Cold-Start Users
via Aspect
Transfer Network
Cheng Zhao: Wuhan University; Chenliang Li: Wuhan
University;
Rong Xiao: Alibaba Group; Hongbo Deng: Alibaba Group; Aixin Sun: Nanyang
Technological
University
MaHRL: Multi-goals Abstraction based Deep Hierarchical
Reinforcement Learning for Recommendations
Dongyang Zhao: Peking University; Liang Zhang:
JD.com; Bo Zhang:
JD Com; Lizhou Zheng: JD.com; Yongjun Bao: JD.com; Weipeng Yan: JD.com
Leveraging Demonstrations for Reinforcement
Recommendation
Reasoning over Knowledge Graphs
Kangzhi Zhao: Tsinghua University; Xiting Wang:
Microsoft
Research Asia; Yuren Zhang: University of Science and Technology of China; Li Zhao:
Microsoft
Research Asia; Zheng Liu: Microsoft Research Asia; Chunxiao Xing: Tsinghua
University; Xing Xie:
Microsoft Research Asia
DGL-KE: Training knowledge graph embeddings at
scale
Da Zheng: Amazon; Xiang Song: Amazon; Chao Ma:
Amazon; Zeyuan
Tan: Amazon; Zihao Ye: Amazon; Hao Xiong: Amazon; Zheng Zhang: Amazon; George
Karypis:
Amazon
Incorporating Scenario Knowledge into A Unified
Fine-tuning
Architecture for Event Representation
Jianming Zheng: National University of Defense
Technology; Fei
Cai: National University of Defense Technology; Honghui Chen: National University of
Defense
Technology
Interactive Recommender System via Knowledge
Graph-enhanced
Reinforcement Learning
Sijin Zhou: Shanghai Jiao Tong University; Xinyi
Dai: Shanghai
Jiao Tong University; Haokun Chen: Shanghai Jiao Tong University; Weinan Zhang:
Shanghai Jiao
Tong University; Kan Ren: Microsoft; Ruiming Tang: Huawei; Xiuqiang He: Noah's Ark
Lab, Huawei;
Yong Yu: Shanghai Jiao Tong University
Encoding History with Context-aware Representation
Learning for
Personalized Search
Yujia Zhou: Renmin University of China; Zhicheng
Dou: Renmin
University of China; Ji-Rong Wen: Renmin University of China
Regional Relation Modeling for Visual Place
Recognition
Yingying Zhu: Shenzhen University; Biao Li: Shenzhen
University;
Jiong Wang: Shenzhen University; Zhou Zhao: ZJU
Recommendation for New Users and New Items via
Randomized Training
and Mixture-of-Experts Transformation
Ziwei Zhu: Texas A&M University; Shahin Sefati:
Comcast
Applied AI Research; Parsa Saadatpanah: University of Maryland; James Caverlee:
Texas A&M
University
Measuring and Mitigating Item Under-Recommendation
Bias in
Personalized Ranking Systems
Ziwei Zhu: Texas A&M University; Jianling Wang:
Texas A&M
University; James Caverlee: Texas A&M University
Joint Aspect-Sentiment Analysis with Minimal User
Guidance
Honglei Zhuang: University of Illinois at
Urbana-Champaign; Fang
Guo: University of Illinois at Urbana-Champaign; Chao Zhang: Georgia Institute of
Technology;
Liyuan Liu: University of Illinois at Urbana-Champaign; Jiawei Han: University of
Illinois at
Urbana-Champaign
Towards Question-based Recommender Systems
Jie Zou: University of Amsterdam; Yifan Chen:
National
University of Defense Technology; Evangelos Kanoulas: University of Amsterdam
Neural Interactive Collaborative Filtering
Lixin Zou: Tsinghua University; Long Xia: School of
Information
Technology, York University; Yulong Gu: JD Data Science Lab; Weidong Liu: Tsinghua
University;
Dawei Yin: Baidu Inc.; Jimmy Huang: School of Information Technology, York
University;
Xiangyu Zhao: Michigan State University
Short Papers
Dynamic Clustering with Discrete Time Event
Prediction
Karan Aggarwal: University of Minnesota; Georgios
Theocharous:
Adobe Research; Anup Rao: Yale University
Leveraging Transitions of Emotions for Sarcasm
Detection
Ameeta Agrawal: York University; Aijun An: York
University;
Manos Papagelis: York University
JointMap: Joint Query Intent Understanding For
Modeling Intent
Hierarchies in E-commerce Search
Ali Ahmadvand: Emory University; Surya Kallumadi:
The Home
Depot; Faizan Javed: The Home Depot; Eugene Agichtein: Emory University
Automatic Generation of Topic Labels
Areej Alokaili: University of Sheffield; Nikolaos
Aletras:
University of Sheffield; Mark Stevenson: University of Sheffield
Extractive Snippet Generation for Arguments
Milad Alshomary: Paderborn University; Nick
Duesterhus:
Paderborn University; Henning Wachsmuth: Paderborn University
Proposal and comparison of health specific features
for the
automatic assessment of readability
Hélder Antunes: INESC TEC and FEUP, University of
Porto; Carla
Teixeira Lopes: INESC TEC and FEUP, University of Porto
Choppy: Cut Transformers For Ranked List
Truncation
Dara Bahri: Google Research; Yi Tay: Google
Research; Che Zheng:
Google Research; Don Metzler: Google Research; Andrew Tomkins: Google Research
Studying Ransomware Attacks Using Web Search Logs
Chetan Bansal: Microsoft Research; Pantazis
Deligiannis:
Microsoft Research; Chandra Sekhar Maddila: Microsoft; Nikitha Rao: Microsoft
Research
MetaGen: An academic meta-review generation
system
Chaitanya Bhatia: Indian Institute of Technology
(BHU) Varanasi;
Tribikram Pradhan: Indian Institute of Technology (BHU) Varanasi; Sukomal Pal: IIT
(BHU)
Hier-SPCNet: A Legal Statute Hierarchy-based
Heterogeneous Network
for Computing Legal Document Similarity
Paheli Bhattacharya: Indian Institute of Technology,
Kharagpur;
Kripabandhu Ghosh: Tata Research Development and Design Centre (TRDDC), Pune, India;
Arindam
Pal: Data61, CSIRO, Sydney, NSW, Australia; Saptarshi Ghosh: Indian Institute of
Technology
Kharagpur
A Transformer-based Embedding Model for Personalized
Product
Search
Keping Bi: University of Massachusetts Amherst;
Qingyao Ai:
University of Utah; W. Bruce Croft: University of Massachusetts Amherst
DCDIR: A Deep Cross-Domain Recommendation System for
Cold Start
Users in Insurance Domain
Ye Bi: Ping An Technology(Shenzhen) Co,LTd; Liqiang
Song: Ping
An Technology(Shenzhen) Co,LTd; Mengqiu Yao: Ping An Technology(Shenzhen) Co,LTd;
Zhenyu Wu:
Ping An Technology(Shenzhen) Co,LTd; Jianming Wang: Ping An Technology(Shenzhen)
Co,LTd; Jing
Xiao: Ping An Technology(Shenzhen) Co,LTd
MarkedBERT: Integrating Traditional IR cues in
pre-trained
language models for passage retrieval
Lila Boualili: IRIT- University of Paul Sabatier,
Toulouse; Jose
Moreno: IRIT- University of Paul Sabatier, Toulouse; Boughanem Mohand: IRIT
University Paul
Sabatier Toulouse
A Pairwise Probe for Understanding BERT Fine-Tuning on
Machine
Reading Comprehension
Jie Cai: Peking University; Ping Nie: Peking
University; Qian
Liu: University of Technology Sydney
Adversarial Attack and Detection on Reinforcement
Learning based
Recommendation System
Yuanjiang Cao: The University of New South Wales;
Xiaocong Chen:
The University of New South Wales; Lina Yao: The University of New South Wales;
Xianzhi Wang:
University of Technology, Sydney; Wei Emma Zhang: University of Adelaide
Relevance Models for Multi-Contextual Appropriateness
in
Points-Of-Interest Recommendation
Anirban Chakraborty: Trinity College Dublin; Debasis
Ganguly:
IBM Research; Owen Conlan: Trinity College Dublin
Bundle Recommendation with Graph Convolutional
Networks
Jianxin Chang: Tsinghua University; Chen Gao:
Tsinghua
University; Xiangnan He: University of Science and Technology of China; Yong Li:
Tsinghua
University; Depeng Jin: Tsinghua University
Re-ranking Answer Selection with Similarity
Aggregation
Dong Chen: Hunan University; Shaoliang Peng: Hunan
University;
Kenli Li: Hunan University; Ying Xu: Hunan University; Jinglin Zhang: Nanjing
University of
Information Science and Technology
Balancing Reinforcement Learning Training Experiences
in
Interactive Information Retrieval
Limin Chen: Georgetown University; Zhiwen Tang:
Georgetown
University; Grace Hui Yang: Georgetown University
Metadata Matters in User Engagement Prediction
Xiang Chen: Adobe Research; Saayan Mitra: Adobe
Research;
Viswanathan Swaminathan: Adobe Research
JIT$^2$R:A Joint Framework for Item Tagging and
Tag-based
Recommendation
Xu Chen: University College London; Changying Du:
Huawei Noah's
Ark Lab; Xiuqiang He: Huawei Noah's Ark Lab; Jun Wang: University College
London
Attending to Inter-sentential Features in Neural Text
Classification
Billy Chiu: Inception Institute of Artificial
Intelligence;
Sunil Sahu: Inception Institute of Artificial Intelligence, Abu Dhabi, UAE; Neha
Sengupta:
Inception Institute of Artificial Intelligence, Abu Dhabi, UAE; Derek Thomas:
Inception
Institute of Artificial Intelligence, Abu Dhabi, UAE; Mohammady Mahdy: Inception
Institute of
Artificial Intelligence, Abu Dhabi, UAE
Summarizing and Exploring Tabular Data in
Conversational
Search
Zhuyun Dai: Carnegie Mellon University; Shuo Zhang:
University
of Stavanger; Krisztian Balog: University of Stavanger; Jamie Callan: Carnegie
Mellon
University
Context-Aware Term Weighting For First-Stage Passage
Retrieval
Zhuyun Dai: Carnegie Mellon University; Jamie
Callan: Carnegie
Mellon University
CAsT-19: A Dataset for Research on Conversational
Information
Seeking
Jeffrey Dalton: University of Glasgow; Chenyan
Xiong: Microsoft
Research; Vaibhav Kumar: Carnegie Mellon University; Jamie Callan: Carnegie Mellon
University
Retrieving Potential Causes from a Query Event
Suchana Datta: Techno India University; Debasis
Ganguly: IBM
Ireland Research Lab; Dwaipayan Roy: GESIS - Leibniz-Institute for the Social
Sciences;
Francesca Bonin: IBM Ireland Research Lab; Charles Jochim: IBM Ireland Research Lab;
Mandar
Mitra: Indian Statistical Institute
Bridging Hierarchical and Sequential Context Modeling
for
Question-driven Extractive Answer Summarization
Yang Deng: The Chinese University of Hong Kong;
Wenxuan Zhang:
The Chinese University of Hong Kong; Yaliang Li: Alibaba Group; Min Yang: The
Chinese Academy of
Sciences; Wai Lam: The Chinese University of Hong Kong; Ying Shen: Sun Yat-Sen
University
Leveraging Adversarial Training in Self-Learning for
Cross-Lingual
Text Classification
Xin Dong: Rutgers University; Yaxin Zhu: Rutgers
University;
Yupeng Zhang: Rutgers University; Zuohui Fu: Rutgers University; Dongkuan Xu: The
Pennsylvania
State University; Sen Yang: Linkedin; Gerard de Melo: Rutgers University
Predicting Perceptual Speed from Search Behaviour
Olivia Foulds: University of Strathclyde; Alessandro
Suglia: Edinburgh Centre for Robotics; Leif Azzopardi: University of Strathclyde; Martin Halvey: University of Strathclyde
Learning Term Discrimination
Jibril Frej: Université Grenoble Alpes; Didier
Schwab: Univ.
Grenoble Alpes; Philippe Mulhem: LIG-CNRS; Jean-Pierre Chevallet: Grenoble Alpes
University
Sampling Bias Due to Near-Duplicates in Learning to
Rank
Maik Fröbe: Martin-Luther-Universität
Halle-Wittenberg; Janek
Bevendorff: Bauhaus-Universität Weimar; Jan Heinrich Reimer:
Martin-Luther-Universität
Halle-Wittenberg; Martin Potthast: Leipzig University; Matthias Hagen:
Martin-Luther-Universität
Halle-Wittenberg
Enhancing Recommendation Diversity using Determinantal
Point
Processes on Knowledge Graphs
Lu Gan: INSA Lyon,University of Lyon; Diana
Nurbakova: INSA
Lyon,University of Lyon; Léa Laporte: INSA Lyon,University of Lyon; Sylvie
Calabretto: INSA
Lyon, University of Lyon
MGNN: A Multimodal Graph Neural Network for Predicting
the
Survival of Cancer Patients
Jianliang Gao: Central South University; Tengfei
Lyu: Central
South University; Fan Xiong: Central South University; Jianxin Wang: Central South
University;
Zhao Li: Alibaba Group
Relevance Transformer: Generating Concise Code
Snippets with
Relevance Feedback
Carlos Gemmell: University of Glasgow; Jeffrey
Dalton:
University of Glasgow; Federico Rossetto: University of Glasgow
On A Unified Neural Mechanism to Search Over A Corpus
of
Graphs
Kunal Goyal: IIT Bombay; Utkarsh Gupta: IIT Bombay;
Abir De: IIT
Bombay; Soumen Chakrabarti: IIT Bombay
Session-based Recommendation with Hierarchical Leaping
Networks
Cheng Guo: Institute of Computing Technology,
Chinese Academy of
Sciences; Mengfei Zhang: Institute of Computing Technology, Chinese Academy of
Sciences; Jinyun
Fang: Institute of Computing Technology, Chinese Academy of Sciences; Jiaqi Jin:
Institute of
Computing Technology, Chinese Academy of Sciences; Mao Pan: Institute of Computing
Technology,
Chinese Academy of Sciences
Multi-Branch Convolutional Network for Context-Aware
Recommendation
Wei Guo: Noah's Ark Lab, Huawei; Can Zhang: Key
Laboratory of
Machine Perception, Shenzhen Graduate School, Peking University; Huifeng Guo: Noah's
Ark Lab,
Huawei; Ruiming Tang: Noah's Ark Lab, Huawei; Xiuqiang He: Noah's Ark Lab,
Huawei
Predicting Session Length for Product Search on
E-commerce
Platform
Shashank Gupta: Flipkart; Subhadeep Maji: Flipkart
India
Unsupervised Semantic Hashing with Pairwise
Reconstruction
Casper Hansen: University of Copenhagen; Christian
Hansen:
University of Copenhagen; Jakob Grue Simonsen: Department of Computer Science,
University of
Copenhagen; Stephen Alstrup: University of Copenhagen; Christina Lioma: University
of
Copenhagen
Factuality Checking in News Headlines with Eye
Tracking
Christian Hansen: University of Copenhagen; Casper
Hansen:
University of Copenhagen, Department of Computer Science; Jakob Grue Simonsen:
Department of
Computer Science, University of Copenhagen; Birger Larsen: Aalborg University;
Stephen Alstrup:
University of Copenhagen; Christina Lioma: University of Copenhagen
Dynamic Link Prediction by Integrating Node Vector
Evolution and
Local Neighborhood Representation
Xiaorong Hao: Taiyuan University of Technology; Tao
Lian:
Taiyuan University of Technology; Li Wang: Taiyuan University of Technology
ArTest: The First Test Collection for Arabic Web
Search with
Relevance Rationales
Maram Hasanain: Qatar University; Yassmine
Barkallah: Innovation
lab department, Mantu; Reem Suwaileh: Qatar University; Mucahid Kutlu: TOBB ETU;
Tamer Elsayed:
Qatar University
Improving Document-Level Text Retrieval using Local
Attention in
the Transformer-Kernel Pooling Model
Sebastian Hofstätter: Vienna University of
Technology; Hamed
Zamani: Microsoft; Bhaskar Mitra: Microsoft; Nick Craswell: Microsoft; Allan
Hanbury: Vienna
University of Technology
Nonintrusive-Sensing and Reinforcement-Learning Based
Adaptive
Personalized Music Recommendation
D Hong: ECNU; L Miao: Fudan; Y Li: ECNU
Residual-Duet Network with Tree Dependency
Representation for
Chinese Question-Answering Sentiment Analysis
Guangyi Hu: Beijing Institute of Technology;
Chongyang Shi:
Beijing Institute of Technology; Shufeng Hao: Beijing Institute of Technology; Yu
Bai:
University of New South Wales
Neural Mathematical Solver with Enhanced Formula
Structure
Zhenya Huang: University of Science and Technology
of China; Qi
Liu: University of Science and Technology of China; Weibo Gao: University of Science
and
Technology of China; Jinze Wu: University of Science and Technology of China; Yu
Yin: University
of Science and Technology of China; Hao Wang: University of Science and Technology
of China;
Enhong Chen: University of Science and Technology of China
Detecting Concept Drift in Medical Triage
Hamish Huggard: University of Auckland; Yun Sing
Koh: University
of Auckland; Gillian Dobbie: University of Auckland; Edmond Zhang: Orion Health
Evidence Weighted Tree Ensembles for Text
Classification
Md Zahidul Islam: University of South Australia;
Jixue Liu:
University of South Australia; Jiuyong Li: University of South Australia; Lin Liu:
University of
South Australia; Wei Kang: CSIRO
Using Exploration to Alleviate Closed-Loop Effects in
Recommender
Systems
Amir H. Jadidinejad: University of Glasgow; Craig
Macdonald:
University of Glasgow; Iadh Ounis: University of Glasgow
Graph Regularization for Multi-lingual Topic
Models
Arnav Kumar Jain: Microsoft; Gundeep Arora:
Microsoft; Rahul
Agrawal: Microsoft
Multi-Modal Summary Generation using Multi-objective
Optimization
Anubhav Jangra: Indian Institute of Technology
Patna; Sriparna
Saha: IIT Patna; Adam Jatowt: Kyoto University; Mohammed Hasanuzzaman: ADAPT Centre,
Dublin
A Re-visit of Popularity Baseline in Recommender
Systems
Yitong Ji: Nanyang Technological University; Aixin
Sun: Nanyang
Technological University; Jie Zhang: Nanyang Technological University; Chenliang Li:
Wuhan
University
Response Quality in Human-Chatbot Collaborative
Systems
Jiepu Jiang: Virginia Tech; Naman Ahuja: Virginia
Tech
High-Precision Extraction of Emerging Concepts from
Scientific
Literature
Daniel King: The Allen Institute for Artificial
Intelligence;
Doug Downey: The Allen Institute for Artificial Intelligence; Daniel S. Weld: The
Allen
Institute for Artificial Intelligence
Training Mixed-Objective Pointing Decoders for
Block-Level
Optimization in Search Recommendation
Harsh Kohli: Microsoft AI & Research
Reinforcement Learning based Recommendation with Graph
Convolutional Q-network
Yu Lei: The Hong Kong Polytechnic University;
Hongbin Pei: Jilin
University; Hanqi Yan: Peking University; Wenjie Li: The Hong Kong Polytechnic
University
Video Recommendation with Multi-gate Mixture of
Experts Soft Actor
Critic
Dingcheng Li: Baidu Inc; Xu Li: Baidu Inc; Jun Wang:
Baidu Inc;
Ping Li: Baidu Inc
Crowdsourced Text Sequence Aggregation based on Hybrid
Reliability
and Representation
Jiyi Li: University of Yamanashi
MRIF: Multi-resolution Interest Fusion for
Recommendation
Shihao Li: Alibaba Inc; Dekun Yang: Alibaba Inc;
Bufeng Zhang:
Alibaba Inc
Auto-annotation for Voice-enabled Entertainment
Systems
Wenyan Li: Comcast Applied AI Research Lab; Ferhan
Ture: Comcast
Applied AI Research Lab
Domain Adaptation with Reconstruction for Disaster
Tweet
Classification
Xukun Li: Department of Computer Science, Kansas
State
University; Doina Caragea: Department of Computer Science, Kansas State
University
Joint Training Capsule Network for Cold Start
Recommendation
Tingting Liang: Hangzhou Dianzi University; Congying
Xia:
University of Illinois at Chicago; Yuyu Yin: Hangzhou Dianzi University; Philip Yu:
University
of Illinois at Chicago
Recipe Retrieval with Visual Query of Ingredients
Yen-Chieh Lien: University of Massachusetts Amherst;
Hamed
Zamani: Microsoft; Bruce Croft: University of Massachusetts Amherst
Copula Guided Neural Topic Modelling for Short
Texts
Lihui Lin: Sun Yat-Sen University; Hongyu Jiang: Sun
Yat-Sen
University; Yanghui Rao: Sun Yat-sen University
Soft Kernel-based Ranking on a Statistical
Manifold
Xinshi Lin: The Chinese University of Hong Kong; Wai
Lam: The
Chinese University of Hong Kong
Multi-Level Multimodal Transformer Network for
Multimodal Recipe
Comprehension
Ao Liu: University of Electronic Science and
Technology of
China; Shuai Yuan: University of Electronic Science and Technology of China; Chenbin
Zhang:
University of Electronic Science and Technology of China; Congjian Luo: University
of Electronic
Science and Technology of China; Yaqing Liao: University of Electronic Science and
Technology of
China; Kun Bai: Tencent; Zenglin Xu: University of Electronic Science and Technology
of
China
Chinese document classification with bi-directional
convolutional
language model
Bin Liu: Southwestern University of Finance and
Ecolomics;
Guosheng Yin: Hong Kong University
Neural Unified Review Recommendation with Cross
Attention
Hongtao Liu: Tianjin University; Wenjun Wang:
tianjin
university; Hongyan Xu: Tianjin University; Qiyao Peng: Tianjin University; Pengfei
Jiao:
Tianjin University
Goal-oriented Chatbots with Hierarchical Reinforcement
Learning
Jianfeng Liu: Institute of Computing Technology of
the Chinese
Academy of Sciences; Feiyang Pan: Institute of Computing Technology of the Chinese
Academy of
Sciences; Ling Luo: Institute of Computing Technology of the Chinese Academy of
Sciences
CapableOf reasoning: A step towards commonsense
oracle
Jingping Liu: Fudan university; Yanghua Xiao: Fudan
university;
Ao Wang: Brown University; Liang He: Microsoft Research Asia; Bin Shao: Microsoft
Research
Asia
A Heterogeneous Graph Neural Model for Cold-Start
Recommendation
Siwei Liu: University of Glasgow; Iadh Ounis:
University of
Glasgow; Craig Macdonald: University of Glasgow; Zaiqiao Meng: University of
Glasgow
Alleviating the Inconsistency Problem of Applying
Graph Neural
Network to Fraud Detection
Zhiwei Liu: University of Illinois at Chicago;
Yingtong Dou:
University of Illinois at Chicago; Yutong Deng: Beijing University of Posts and
Telecommunications; Hao Peng: Beihang University; Philip Yu: University of Illinois
at
Chicago
Interactive Entity Linking Using Entity-Word
Representations
Pei-Chi Lo: Singapore Management University; Ee-Peng
Lim:
Singapore Management University
Improving Contextual Language Models for Response
Retrieval in
Multi-Turn Conversation
Junyu Lu: University of Electronic Science and
Technology of
China; Xiancong Ren: University of Electronic Science and Technology of China;
Yazhou Ren:
University of Electronic Science and Technology of China; Ao Liu: University of
Electronic
Science and Technology of China; Zenglin Xu: University of Electronic Science and
Technology of
China
Query-level Early Exit for Additive Learning-to-Rank
Ensembles
Claudio Lucchese: Ca' Foscari University of Venice;
Franco Maria
Nardini: ISTI-CNR; Salvatore Orlando: Università Ca' Foscari Venezia; Raffaele
Perego: ISTI-CNR;
Salvatore Trani: ISTI-CNR
Segmenting search query logs by learning to detect
search task
boundaries
Luis Lugo: IRIT; Jose Moreno: IRIT; Gilles Hubert:
IRIT
A multilingual approach for unsupervised search task
identification
Luis Lugo: IRIT; Jose Moreno: IRIT; Gilles Hubert:
IRIT
Differentially Private Knowledge Distillation for
Mobile
Analytics
Lingjuan Lyu: National University of Singapore;
Chi-Hua Chen:
Fuzhou University
Towards Differentially Private Text Representations
Lingjuan Lyu: National University of Singapore;
Yitong Li: The University of Melbourne; Xuanli He: Monash University; Tong Xiao: Northeastern University
Large-scale Image Retrieval with Sparse Binary
Projections
Changyi Ma: The Chinese University of Hong Kong,
Shenzhen;
Chonglin Gu: The Chinese University of Hong Kong, Shenzhen; Wenye Li: The Chinese
University of
Hong Kong, Shenzhen; Shuguang Cui: The Chinese University of Hong Kong,
Shenzhen
Expansion via Prediction of Importance with
Contextualization
Sean MacAvaney: Georgetown University; Franco Maria
Nardini:
ISTI-CNR; Raffaele Perego: ISTI-CNR; Nicola Tonellotto: University of Pisa; Nazli
Goharian:
Georgetown University; Ophir Frieder: Georgetown University
Efficiency Implications of Term Re-Weighting for
Passage
Retrieval
Joel Mackenzie: The University of Melbourne; Zhuyun
Dai:
Carnegie Mellon University; Luke Gallagher: RMIT University; Jamie Callan: Carnegie
Mellon
University
CrossBERT with Triplet Neural Architecture for Entity
Property
Ranking
Jarana Manotumruksa: University College London; Jeff
Dalton:
University of Glasgow; Edgar Meij: Bloomberg LP; Emine Yilmaz: University College
London
Sequential-based Adversarial Optimisation for
Personalised Top-N
Item Recommendation
Jarana Manotumruksa: University College London;
Emine Yilmaz:
University College London
Reranking for Efficient Transformer-based Answer
Selection
Yoshitomo Matsubara: University of California,
Irvine; Thuy Vu:
Amazon Alexa; Alessandro Moschitti: Amazon Alexa
Active Learning Stopping Strategies for
Technology-Assisted
Sensitivity Review
Graham McDonald: University of Glasgow; Craig
Macdonald:
University of Glasgow; Iadh Ounis: University of Glasgow
Topic Propagation in Conversational Search
Ida Mele: ISTI-CNR; Cristina Ioana Muntean:
ISTI-CNR; Franco
Maria Nardini: ISTI-CNR; Raffaele Perego: ISTI-CNR; Nicola Tonellotto: University of
Pisa; Ophir
Frieder: Georgetown University
Read what you need: Controllable Aspect-based Opinion
Summarization of Tourist Reviews
Rajdeep Mukherjee: Indian Institute of Technology
(IIT)
Kharagpur; Hari Chandana Peruri: Indian Institute of Technology (IIT) Kharagpur;
Uppada Vishnu:
Indian Institute of Technology (IIT) Kharagpur; Pawan Goyal: Indian Institute of
Technology
(IIT) Kharagpur; Sourangshu Bhattacharya: Indian Institute of Technology (IIT)
Kharagpur; Niloy
Ganguly: Indian Institute of Technology (IIT) Kharagpur
Combining contextualized and non-contextualized query
translations
to improve CLIR
Suraj Nair: University of Maryland; Petra
Galuščáková:
University of Maryland; Douglas Oard: University of Maryland
DC-BERT: Decoupling Question and Document for
Efficient Contextual
Encoding
Ping Nie: peking university; Yuyu Zhang: Georgia
Institute of
Technology; Xiubo Geng: STCA NLP Group, Microsoft; Ramamurthy Arun: siemens; Le
Song: Georgia
Institute of Technology; Daxin Jiang: STCA NLP Group, Microsoft
Proactive Suggestion Generation:Data and Methods for
Stepwise Task
Assistance
Elnaz Nouri: Microsoft; Ryen White: Microsoft;
Robert Sim:
Microsoft; Adam Fourney: Microsoft
Rethinking Item Importance in Session-based
Recommendation
Zhiqiang Pan: Science and Technology on Information
Systems
Engineering Laboratory National University of Defense Technology; Fei Cai: Science
and
Technology on Information Systems Engineering Laboratory National University of
Defense
Technology; Yanxiang Ling: Science and Technology on Information Systems Engineering
Laboratory
National University of Defense Technology; Maarten de Rijke: University of
Amsterdam
An Intent-guided Collaborative Machine for
Session-based
Recommendation
Zhiqiang Pan: Science and Technology on Information
Systems
Engineering Laboratory National University of Defense Technology; Fei Cai: Science
and
Technology on Information Systems Engineering Laboratory National University of
Defense
Technology; Yanxiang Ling: Science and Technology on Information Systems Engineering
Laboratory
National University of Defense Technology; Maarten de Rijke: University of
Amsterdam
MHM: Multi-modal Clinical Data based Hierarchical
Multi-label
Diagnosis Prediction
Zhi Qiao: Tencent; Zhen Zhang: Beijing Information
Science and
Technology University; Xian Wu: Tencent; Shen Ge: Tencent; Wei Fan: Tencent
Contextual Re-Ranking with Behavior Aware
Transformers
Chen Qu: University of Massachusetts Amherst;
Chenyan Xiong:
Microsoft; Yizhe Zhang: Microsoft; Corby Rosset: Microsoft; W. Bruce Croft:
University of
Massachusetts Amherst; Paul Bennett: Microsoft
Towards Explainable Retrieval Models for Precision
Medicine
Literature Search
Jiaming Qu: University of North Carolina at Chapel
Hill; Jaime
Arguello: University of North Carolina at Chapel Hill; Yue Wang: University of North
Carolina at
Chapel Hill
Reputation (In)dependence in Ranking Systems:
Demographics
Influence Over Output Disparities
Guilherme Ramos: FEUP - Faculty of Engineering
University of
Porto; Ludovico Boratto: Eurecat
Search Result Explanations Improve Efficiency and
Trust
Jerome Ramos: Brown University; Carsten Eickhoff:
Brown
University
Do Neural Ranking Models Intensify Gender Bias?
Navid Rekabsaz: Johannes Kepler University (JKU);
Markus Schedl:
Johannes Kepler University (JKU)
How Useful are Reviews for Recommendation? A Critical
Review and
Potential Improvements
Noveen Sachdeva: International Institute of
Information
Technology, Hyderabad; Julian McAuley: UC San Diego
Dual Learning Algorithm for Delayed Conversions
Yuta Saito: Tokyo Institute of Technology; Gota
Morishita:
CyberAgent, Inc.; Shota Yasui: CyberAgent, Inc.
Query by Example for Cross-Lingual Event
Retrieval
Sheikh Muhammad Sarwar: University of Massachusetts
Amherst;
James Allan: University of Massachusetts Amherst
A Test Collection for Relevance and Sensitivity
Mahmoud Sayed: University of Maryland, College Park;
William
Cox: University of Maryland, College Park; Jonah Lynn Rivera: University of
Maryland, College
Park; Caitlin Christian-Lamb: University of Maryland, College Park; Modassir Iqbal:
University
of Maryland, College Park; Douglas Oard: University of Maryland, College Park; Katie
Shilton:
University of Maryland, College Park
Evaluation of Cross Domain Text Summarization
Liam Scanlon: RMIT University; Shiwei Zhang: RMIT
University;
Xiuzhen Jenny Zhang: RMIT University; Mark Sanderson: RMIT University
The Curious Case of IR Explainability: Explaining
Document Scores
within and across Ranking Models
Procheta Sen: Dublin City University; Manisha Verma:
Verizon
Media, New York, NY, USA; Debasis Ganguly: IBM Ireland Research Lab; Gareth Jones:
Dublin City
University
A Study of Methods for the Generation of Domain-Aware
Word
Embeddings
Dominic Seyler: University of Illinois at
Urbana–Champaign;
Chengxiang Zhai: University of Illinois at Urbana-Champaign
Convolutional Knowledge Tracing: Modeling
Individualization in
Student Learning Process
Shuanghong Shen: University of Science and
Technology of China;
Qi Liu: University of Science and Technology of China; Enhong Chen: University of
Science and
Technology of China; Han Wu: University of Science and Technology of China; Zhenya
Huang:
University of Science and Technology of China; Weihao Zhao: University of Science
and Technology
of China; Yu Su: University of Science and Technology of China; Haiping Ma:
University of
Science and Technology of China; Shijin Wang: University of Science and Technology
of China
G2T: Generating Fluent Descriptions for Knowledge
Graph
Yunzhou Shi: Tsinghua University; Zhiling Luo:
Alibaba Group;
Pengcheng Zhu: Alibaba Group; Feng Ji: Alibaba Group; Wei Zhou: Alibaba Group;
Haiqing Chen:
Alibaba Group; Yujiu Yang: Tsinhua University
Improving Matching Models with Hierarchical
Contextualized
Representations for Multi-turn Response Selection
Chongyang Tao: Peking University; Wei Wu: Microsoft;
Yansong
Feng: Peking University; Dongyan Zhao: Peking University; Rui Yan: Peking
University
Fair Classification with Counterfactual Learning
Maryam Tavakol: TU Dortmund
Multi-grouping Robust Fair Ranking
Thibaut Thonet: Naver Labs Europe; Renders
Jean-Michel: Naver
Labs Europe
Visual Intents vs. Clicks, Likes, and Purchases in
E-commerce
Riku Togashi: Waseda University, Mercari, Inc.;
Tetsuya Sakai:
Waseda University
MVL: Multi-View Learning for News Recommendation
Santosh Tokala Yaswanth Sri Sai: IIT Kharagpur;
Avirup Saha: IIT
Kharagpur; Niloy Ganguly: Indian Institute of Technology Kharagpur
Query/Task Satisfaction and Grid-based Evaluation
Metrics Under
Different Image Search Intents
Kosetsu Tsukuda: National Institute of Advanced
Industrial
Science and Technology (AIST); Masataka Goto: National Institute of Advanced
Industrial Science
and Technology (AIST)
Distilling Knowledge for fast retrieval-based
chat-bots
Amir Vakili Tahami: University of Tehran; Kamyar
Ghajar:
University of Tehran; Azadeh Shakery: University of Tehran
An Analysis of Mixed Initiative and Collaboration in
Information-Seeking Dialogues
Svitlana Vakulenko: University of Amsterdam;
Evangelos Kanoulas:
University of Amsterdam; Maarten de Rijke: University of Amsterdam
Predicting Entity Popularity to Improve Spoken Entity
Recognition
by Virtual Assistants
Christophe Van Gysel: Apple Inc.; Manos Tsagkias:
Apple Inc.;
Ernest Pusateri: Apple Inc.; Ilya Oparin: Apple Inc.
Cascade Model-based Propensity Estimation for
Counterfactual
Learning to Rank
Ali Vardasbi: University of Amsterdam; Maarten de
Rijke:
University of Amsterdam; Ilya Markov: University of Amsterdam
Studying Ranking-Incentivized Web Dynamics
Ziv Vasilisky: Technion; Moshe Tennenholtz:
Technion; Oren
Kurland: Technion
Data Poisoning Attacks against Differentially Private
Recommender
Systems
Soumya Wadhwa: Walmart Labs; Saurabh Agrawal:
Walmart Labs;
Harsh Chaudhari: Walmart Labs; Deepthi Sharma: Walmart Labs; Kannan Achan: Walmart
Labs
Learning Discriminative Joint Embeddings for Efficient
Face and
Voice Association
Rui Wang: Huaqiao University; Xin Liu: Huaqiao
University;
Yiu-Ming Cheung: Hong Kong Baptist University; Shu-Juan Peng: Huaqiao University;
Nannan Wang:
Huaqiao University; Wentao Fan: Huaqiao University
Immersive Search: Using Virtual Reality to Examine How
a Third
Dimension Impacts the Searching Process
Austin Ward: The University of North Carolina at
Chapel Hill;
Rob Capra: The University of North Carolina at Chapel Hill
TFNet: Multi-Semantic Feature Interaction for CTR
Prediction
Shu Wu: Institute of Automation, Chinese Academy of
Sciences
(CASIA); Feng Yu: Institute of Automation, Chinese Academy of Sciences (CASIA);
Xueli Yu:
Institute of Automation, Chinese Academy of Sciences (CASIA); Qiang Liu: RealAI and
Tsinghua
University; Liang Wang: Institute of Automation, Chinese Academy of Sciences
(CASIA); Tieniu
Tan: Institute of Automation, Chinese Academy of Sciences (CASIA); Jie Shao:
Tencent; Fan Huang:
Tencent
Investigating reading behavior in Fine-grained
Relevance
Judgment
Zhijing Wu: Tsinghua University; Jiaxin Mao:
Tsinghua
University; Yiqun Liu: Tsinghua University; Min Zhang: Tsinghua University; Shaoping
Ma:
Tsinghua University
How UMass-FSD Inadvertently Leverages Temporal
Bias
Dominik Wurzer: Wuhan University; Yumeng Qin: Wuhan
University
Neural Hierarchical Factorization Machines for User's
Event
Sequence Analysis
Dongbo Xi: Institute of Computing Technology,
Chinese Academy of
Sciences; Fuzhen Zhuang: Institute of Computing Technology, Chinese Academy of
Sciences; Bowen
Song: Ant Financial Services Group; Yongchun Zhu: Institute of Computing Technology,
Chinese
Academy of Sciences; Shuai Chen: Ant Financial Services Group; Dan Hong: Ant
Financial Services
Group; Tao Chen: Ant Financial Group; Xi Gu: Ant Financial Services Group; Qing He:
Institute of
Computing Technology, CAS
Label-Consistency based Graph Neural Networks for
Semi-supervised
Node Classification
Bingbing Xu: Institute of Computing Technology,
Chinese Academy
of Sciences; Junjie Huang: Institute of Computing Technology, Chinese Academy of
Sciences; Liang
Hou: Institute of Computing Technology, Chinese Academy of Sciences; Huawei Shen:
Institute of
Computing Technology, Chinese Academy of Sciences; Jinhua Gao: Institute of
Computing
Technology, Chinese Academy of Sciences; Xueqi Cheng: Institute of Computing
Technology, Chinese
Academy of Sciences
Symmetric Regularization based BERT for Pair-wise
Semantic
Reasoning
Weidi Xu: Ant Financial Services Group; Kunlong
Chen: Ant
Financial Services Group; Xingyi Cheng: Ant Financial Services Group; Taifeng Wang:
Ant
Financial Services Group
Deep Interest with Hierarchical Attention Network for
Click-Through Rate Prediction
Weinan Xu: Lazada Group; Hengxu He: Alibaba Group;
Minshi Tan:
Lazada Group; Yunming Li: Lazada Group; Jun Lang: Lazada Group; Dongbai Guo: Lazada
Group
Having Your Cake and Eating it Too: Training Neural
Retrieval for
Language Inference without Losing Lexical Match
Vikas Yadav: University of Arizona; Steven Bethard:
University
of Arizona; Mihai Surdeanu: University of Arizona
Neural Concept Map Generation for Effective Document
Classification with Interpretable Structured Summarization
Carl Yang: University of Illinois at
Urbana-Champaign; Jieyu
Zhang: University of Illinois at Urbana-Champaign; Haonan Wang: University of
Illinois at
Urbana-Champaign; Bangzheng Li: University of Illinois at Urbana-Champaign; Jiawei
Han:
University of Illinois at Urbana-Champaign
A Knowledge-Enhanced Recommendation Model with
Attribute-Level
Co-Attention
Deqing Yang: Fudan University; Zengchun Song: Fudan
University;
Lvxin Xue: Fudan University; Yanghua Xiao: Fudan university
Multi-source Domain Adaptation for Sentiment
Classification with
Granger Causal Inference
Min Yang: SIAT, Chinese Academy of Sciences; Ying
Shen: Peking
University; Xiaojun Chen: College; Chengming Li: SIAT, Chinese Academy of
Sciences
A Case Study of Multi-class Classification with
Diversified
Precision Recall Requirements for Query Disambiguation
Yingrui Yang: Ancestry; Christopher Miller:
Ancestry; Peng
Jiang: Ancestry; Azadeh Moghtaderi: Ancestry
TADS: Learning Time-Aware Scheduling Policy with
Dyna-Style
Planning for Spaced Repetition
Zhengyu Yang: Shanghai Jiao Tong University; Jian
Shen: Shanghai
Jiao Tong University; Yunfei Liu: Shanghai Jiao Tong University; Yang Yang: Shanghai
Jiao Tong
University; Weinan Zhang: Shanghai Jiao Tong University; Yong Yu: Shanghai Jiao Tong
University
On the Reliability of Test Collections to Evaluating
Systems of
Different Types
Emine Yilmaz: University College London; Nick
Craswell:
Microsoft; Bhaskar Mitra: Microsoft; Daniel Campos: Microsoft
KLOOS: KL Divergence-based Out-of-Scope Intent
Detection in
Human-to-Machine Conversations
Eyup Halit Yilmaz: ASELSAN; Cagri Toraman:
ASELSAN
TAGNN: Target Attentive Graph Neural Networks for
Session-based
Recommendation
Feng Yu: NLPR, CASIA; Yanqiao Zhu: Institute of
Automation,
Chinese Academy of Sciences (CASIA); Qiang Liu: RealAI and Tsinghua University; Shu
Wu:
Institute of Automation, Chinese Academy of Sciences (CASIA); Liang Wang: Institute
of
Automation, Chinese Academy of Sciences (CASIA); Tieniu Tan: Institute of
Automation, Chinese
Academy of Sciences (CASIA)
Query Classification with Multi-objective Backoff
Optimization
Hang Yu: Trade Me Ltd.; Lester Litchfield: Trade Me
Ltd.
Influence Function for Unbiased Recommendation
Jiangxing Yu: The University of Melbourne; Hong Zhu:
Huawei Noah
Ark Lab; Chihyao Chang: Huawei Noah Ark Lab; Xinhua Feng: Huawei Noah Ark Lab;
Bo-Wen Yuan:
National Taiwan University; Xiuqiang He: Huawei Noah Ark Lab; Zhenhua Dong: Huawei
Noah Ark
Lab
A Study of Neural Matching Models for Cross-lingual
IR
Puxuan Yu: University of Massachusetts Amherst;
James Allan:
University of Massachusetts Amherst
Few-Shot Generative Conversational Query
Rewriting
Shi Yu: Tsinghua University; Jiahua Liu: Tsinghua
University;
Jingqin Yang: Tsinghua University; Chenyan Xiong: Microsoft Research; Paul Bennett:
Microsoft
Research; Jianfeng Gao: Microsoft Research; Zhiyuan Liu: Tsinghua University
User-Inspired Posterior Network for Recommendation
Reason
Generation
Haolan Zhan: State Key Lab. of Computer Science,
Institute of
Software, Chinese Academy of Sciences; Hainan Zhang: Data Science Lab, JD.com;
Hongshen Chen:
Data Science Lab, JD.com; Lei Shen: Key Laboratory of Intelligent Information
Processing,
Institute of Computing Technology, Chinese Academy of Sciences; Yanyan Lan: CAS Key
Lab of
Network Data Science and Technology, Institute of Computing Technology, Chinese
Academy of
Sciences; Zhuoye Ding: Data Science Lab, JD.com; Dawei Yin: Baidu Inc.
An analysis of BERT in document ranking
Jingtao Zhan: Tsinghua University; Jiaxin Mao:
Tsinghua
University; Yiqun Liu: Tsinghua University; Min Zhang: Tsinghua University; Shaoping
Ma:
Tsinghua University
Read, Attend, and Exclude: Multi-Choice Reading
Comprehension by
Mimicking Human Reasoning Process
Chebin Zhang: University of Electronic Science and
Technology of
China; Congjian Luo: University of Electronic Science and Technology of China; Junyu
Lu:
University of Electronic Science and Technology of China; Ao Liu: University of
Electronic
Science and Technology of China; Bing Bai: Tencent; Kun Bai: Tencent; Zenglin Xu:
University of
Electronic Science and Technology of China
Unsupervised Text Summarization with Sentence Graph
Compression
Jinming Zhao: Monash University; Ming Liu: Deakin
University;
Yuan Jin: Monash University; He Zhao: Monash University; Lan Du: Monash University;
He Zhang:
SandStone; Longxiang Gao: Deakin University; Gholamreza Haffari: Monash
University
Improving Neural Chinese Word Segmentation with
Lexicon-enhanced
Adaptive Attention
Xiaoyan Zhao: Shenzhen Institutes of Advanced
Technology,
Chinese Academy of Sciences; Min Yang: Shenzhen Institutes of Advanced Technology,
Chinese
Academy of Sciences; Qiang Qu: Shenzhen Institutes of Advanced Technology, Chinese
Academy of
Sciences; Yang Sun: Shenzhen Institutes of Advanced Technology, Chinese Academy of
Sciences
Social Media User Geolocation via Hybrid
Attention
Cheng Zheng: University of California, Los Angeles;
Jyun-Yu
Jiang: University of California, Los Angeles; Yichao Zhou: University of California,
Los
Angeles; Sean Young: University of California, Irvine; Wei Wang: University of
California, Los
Angeles
Sentiment-guided Sequential Recommendation
Lin Zheng: Department of Computer Science, College
of
Engineering, Shantou University; Naicheng Guo: Department of Computer Science,
College of
Engineering, Shantou University; Weihao Chen: Department of Computer Science,
College of
Engineering, Shantou University; Jin Yu: Department of Computer Science, College of
Engineering,
Shantou University; Dazhi Jiang: Department of Computer Science, College of
Engineering, Shantou
University
Personalized Query Suggestions
Jianling Zhong: LinkedIn Inc; Weiwei Guo: LinkedIn;
Huiji Gao:
LinkedIn; Bo Long: LinkedIn
L2R2: Leveraging Ranking for Abductive Reasoning
Yunchang Zhu: ICT, CAS; Liang Pang: ICT, CAS; Yanyan
Lan: ICT;
Xueqi Cheng: Institute of Computing Technology, CAS, P. R. China
Feature Transformation for Neural Ranking Models
Honglei Zhuang: Google Research; Xuanhui Wang:
Google Research;
Michael Bendersky: Google Research; Marc Najork: Google Research
DEXA: Supporting Non-Expert Annotators with Dynamic
Examples from
Experts
Markus Zlabinger: Vienna University of Technology;
Marta Sabou:
Vienna University of Technology; Sebastian Hofstätter: Vienna University of
Technology; Mete
Sertkan: Vienna University of Technology; Allan Hanbury: Vienna University of
Technology
Demo Papers
A Lightweight Environment for Learning Experimental IR
Research
Practices
Zeynep Akkalyoncu Yilmaz: University of Waterloo;
Charles
Clarke: University of Waterloo; Jimmy Lin: University of Waterloo
BRENDA: Browser Extension for Fake News
Detection
Bjarte Botnevik: University of Stavanger; Eirik
Sakariassen:
University of Stavanger; Vinay Setty: University of Stavanger
Agent Dialogue: A Platform for Conversational
Information Seeking
Experimentation
Adam Czyzewski: University of Glasgow; Jeffrey
Dalton:
University of Glasgow; Anton Leuski: University of Southern California
DataMirror: Reflecting on One's Data Self (A Tool for
Social Media
Users to explore their Digital Footprints)
Amal Htait: University of Strathclyde; Leif
Azzopardi:
University of Strathclyde; Emma Nicol: University of Dundee; Wendy Moncur:
University of
Dundee
Conversational Question Answering over Passages by
Leveraging Word
Proximity Networks
Magdalena Kaiser: Max Planck Institute for
Informatics; Rishiraj
Saha Roy: Max Planck Institute for Informatics; Gerhard Weikum: Max Planck Institute
for
Informatics
FigExplorer: A System for Retrieval and Exploration of
Figures
from Collections of Research Articles
Saar Kuzi: University of Illinois at
Urbana-Champaign;
Chengxiang Zhai: University of Illinois at Urbana-Champaign; Yin Tian: CRRC
Institute, CRRC
Corporation Limited, Beijing, 100161, China; Haichuan Tang: CRRC Institute, CRRC
Corporation
Limited, Beijing, 100161, China
APS: An Active PubMed Search System for Technology
Assisted
Review
Dan Li: University of Amsterdam; Panagiotis
Zafeiriadis: Tailo; Evangelos Kanoulas: University of Amsterdam
Systematic Review Automation Tools for End-to-End
Query
Formulation
Hang Li: The University of Queensland; Harrisen
Scells: The
University of Queensland; Guido Zuccon: The University of Queensland
Deep Job Understanding at LinkedIn
Shan Li: LinkedIn; Baoxu Shi: LinkedIn; Jaewon Yang:
LinkedIn;
Yan Ji: LinkedIn; Shuai Wang: LinkedIn; Fei Chen: LinkedIn; Qi He: LinkedIn
Supporting Interoperability Between Open-Source Search
Engines
with the Common Index File Format
Jimmy Lin: University of Waterloo; Joel Mackenzie:
The
University of Melbourne; Chris Kamphuis: Radboud University; Craig Macdonald:
University of
Glasgow; Antonio Mallia: New York University; Michal Siedlaczek: New York
University; Andrew
Trotman: University of Otago; Arjen de Vries: Radboud University
Web of Scholars: A Scholar Knowledge Graph
Jiaying Liu: Dalian University of Technology; Jing
Ren: Dalian
University of Technology; Wenqing Zheng: 904932702@qq.com; Lianhua Chi: La Trobe
University;
Ivan Lee: University of South Australia; Feng Xia: Federation University
Australia
SPot: A tool for identifying operating segments in
financial
tables
Zhiqiang Ma: S&P Global; Steven Pomerville: S&P
Global;
Mingyang Di: SiriusXM; Armineh Nourbakhsh: S&P Global
Receptor: A Platform for Exploring Latent Relations in
Sensitive
Documents
Hitarth Narvala: University of Glasgow; Graham
McDonald:
University of Glasgow; Iadh Ounis: University of Glasgow
FactCatch: Incremental Pay-as-You-Go Fact Checking
with Minimal
User Effort
Thanh Tam Nguyen: EPFL; Matthias Weidlich:
Humboldt-Universitat
zu Berlin; Hongzhi Yin: University of Queensland; Bolong Zheng: Huazhong University
of Science
and Technology; Quang Huy Nguyen: Hanoi University of Science and Technology; Quoc
Viet Hung
Nguyen: Griffith University
WIRE: An Automated Report Generation System using
Topical and
Temporal Summarization
Yunseok Noh: Kyungpook National University; Yongmin
Shin:
Kyungpook National University; Junmo Park: Kyungpook National University; A-Yeong
Kim: Kyungpook
National University; Su Jeong Choi: KT; Hyun-Je Song: Jeonbuk National University;
Seong-Bae
Park: Kyung Hee University; Seyoung Park: Kyungpook National University
Experimaestro and Datamaestro:Experiment and Dataset
Managers (for
IR)
Benjamin Piwowarski: CNRS / University Pierre et
Marie
Curie
QuAChIE: Question Answering based Chinese Information
Extraction
System
Dongyu Ru: SJTU; Zhenghui Wang: SJTU; Lin Qiu: SJTU;
Hao Zhou:
Bytedance AI Lab; Lei Li: Bytedance AI Lab; Weinan Zhang: SJTU; Yong Yu: SJTU
Vis-Trec: A System for the In-depth Analysis of
trec_eval
Results
Mahtab Tamannaee: Ryerson University; Negar
Arabzadeh: Ryerson
University; Ebrahim Bagheri: Ryerson University
JASSjr: The Minimalistic BM25 Search Engine for
Teaching and
Learning Information Retrieval
Andrew Trotman: University of Otago; Kat Lilly:
University of
Otago
ServiceGroup: A Human-Machine Cooperation Solution for
Group Chat
Customer Service
Minghui Yang: Ant Financial Services Group; Hengbin
Cui: Ant
Financial Services Group; Shaosheng Cao: Ant Financial Services Group; Yafang Wang:
Ant
Financial Services Group; Xiaolong Li: Ant Financial Services Group
Macaw: An Extensible Conversational Information
Seeking
Platform
Hamed Zamani: Microsoft; Nick Craswell:
Microsoft
REL: An Entity Linker Standing on the Shoulders of
Giants
Johannes M. van Hulst: Radboud University; Faegheh
Hasibi:
Radboud University; Koen Dercksen: Radboud University; Krisztian Balog: University
of Stavanger;
Arjen P. de Vries: Radboud University
Industry Track Papers
GMCM: Graph-based Micro-behavior Conversion Model for
Post-click
Conversion Rate Estimation
Wentian Bao: Alibaba Group; Hong Wen: Alibaba Group;
Sha Li:
University of Illinois Urbana-Champaign; Xiao-Yang Liu: Columbia University; Quan
Lin: Alibaba
Group; Keping Yang: Alibaba Group
A Heterogeneous Information Network based Cross Domain
Insurance
Recommendation System for Cold Start Users
Ye Bi: Ping An Technology(Shenzhen) Co,LTd; Liqiang
Song: Ping
An Technology(Shenzhen) Co,LTd; Mengqiu Yao: Ping An Technology(Shenzhen) Co,LTd;
Zhenyu Wu:
Ping An Technology(Shenzhen) Co,LTd; Jianming Wang: Ping An Technology(Shenzhen)
Co.LTd; Jing
Xiao: Ping An Technology(Shenzhen) Co,LTd
Knowledge Graph-based Event Embedding Framework for
Financial
Quantitative Investments
Dawei Cheng: Shanghai Jiao Tong University; Fangzhou
Yang: Seek
Data Inc.; Xiaoyang Wang: Zhejiang Gongshang University; Ying Zhang: University of
Technology
Sydney; Liqing Zhang: Shanghai Jiao Tong University
ATBRG: Adaptive Target-Behavior Relational Graph
Network for
Effective Recommendation
Yufei Feng: Alibaba Group; Binbin Hu: Ant Financial
Services
Group; Fuyu Lv: Alibaba Group; Qingwen Liu: Alibaba Group; Zhiqiang Zhang: Ant
Financial
Services Group; Wenwu Ou: Alibaba Group
Be Aware of the Hot Zone: A Warning System of Hazard
Area
Prediction to Intervene Novel Coronavirus COVID-19 Outbreak
Zhenxin Fu: Peking University; Yu Wu: Peking
University Health
Science Center; Hailei Zhang: Laiye Technology Inc.; Yichuan Hu: Laiye Technology
Inc.; Dongyan
Zhao: Peking University; Rui Yan: Peking University
FashionBERT: Text and Image Matching with Adaptive
Loss for
Cross-modal Retrieval
Dehong Gao: Alibaba Group; Linbo Jin: Alibaba Group;
Ben Chen:
Alibaba Group; Minghui Qiu: Alibaba; Yi Wei: Alibaba Group; Yi Hu: Alibaba Group;
Hao Wang:
Alibaba Group
Understanding Echo Chambers in E-commerce Recommender
Systems
Yingqiang Ge: Rutgers University; Shuya Zhao: New
York
University; Honglu Zhou: Rutgers University; Changhua Pei: Tsinghua University; Fei
Sun: Alibaba
Group; Wenwu Ou: alibaba group; Yongfeng Zhang: Rutgers University
Efficient and Effective Query Auto-Completion
Simon Gog: eBay, Inc.; Giulio Ermanno Pibiri:
University of
Pisa; Rossano Venturini: Dipartimento di Informatica, Università di Pisa
Efficient image gallery representations at scale
through
multi-task learning
Benjamin Gutelman: Booking.com; Pavel Levin:
Booking.com
A Counterfactual Framework for Seller-Side A/B Testing
on
Marketplaces
Viet Ha-Thuc: Facebook; Avishek Dutta: Facebook; Ren
Mao:
Facebook; Matthew Wood: Facebook; Yunli Liu: Facebook
Think Beyond the Word: Understanding the Implied
Textual Meaning
by Digesting Context, Local, and Noise
Guoxiu He: School of Information Management, Wuhan
University;
Zhe Gao: Alibaba Group; Zhuoren Jiang: Zhejiang University; Yangyang Kang: Alibaba
Group;
Changlong Sun: Alibaba Group; Xiaozhong Liu: Indiana University Bloomington; Wei Lu:
School of
Information Management, Wuhan University
Automated Embedding Size Search in Deep Recommender
Systems
Haochen Liu: Michigan State University; Xiangyu
Zhao: Michigan
State University; Chong Wang: Bytedance; Xiaobing Liu: Bytedance; Jiliang Tang:
Michigan State
University
Network On Network for Tabular Data Classification in
Real-world
Applications
Yuanfei Luo: 4Paradigm Inc.; Hao Zhou: 4Paradigm
Inc.; Weiwei
Tu: 4Paradigm Inc.; Yuqiang Chen: 4Paradigm Inc.; Wenyuan Dai: 4Paradigm Inc.; Qiang
Yang: Hong
Kong University of Science and Technology
Item Tagging for Information Retrieval: A Tripartite
Graph Neural
Network based Approach
Kelong Mao: Tsinghua University, China; Noah’s
Ark
Research Lab, Huawei, China; Xi Xiao: Tsinghua University, China;; Jieming Zhu: Noah’s
Ark
Research Lab, Huawei, China; Biao Lu: Noah’s Ark Research Lab, Huawei, China;
Ruiming
Tang: Noah’s Ark Research Lab, Huawei, China; Xiuqiang He: Noah’s Ark
Research Lab,
Huawei, China
Large Scale Abstractive Multi-Review Summarization
(LSARS) via
Aspect Alignment
Haojie Pan: Zhejiang University; Rongqin Yang:
Zhejiang
University; Xin Zhou: Alibaba Group; Rui Wang: Alibaba Group; Deng Cai: Zhejiang
University;
Xiaozhong Liu: alibaba group
User Behavior Retrieval for Click-Through Rate
Prediction
Jiarui Qin: Shanghai Jiao Tong University; Weinan
Zhang:
Shanghai Jiao Tong University; Xin Wu: Shanghai Jiao Tong University; Jiarui Jin:
Shanghai Jiao
Tong University; Yuchen Fang: Shanghai Jiao Tong University; Yong Yu: Shanghai Jiao
Tong
University
Identifying Tasks from Mobile App Usage Patterns
Yuan Tian: University of Nottingham; Ke Zhou:
University of
Nottingham; Mounia Lalmas: Spotify; Dan Pelleg: Yahoo!
Robust Layout-aware IE for Visually Rich Documents
with
Pre-trained Language Models
Mengxi Wei: Alibaba Group; Yifan He: Alibaba Group;
Qiong Zhang:
Alibaba Group
Entire Space Multi-Task Modeling via Post-Click
Behavior
Decomposition for Conversion Rate Prediction
Hong Wen: Alibaba Group; Jing Zhang: The University
of Sydney;
Yuan Wang: Alibaba Group; Fuyu Lv: Alibaba Group; Wentian Bao: Alibaba Group; Quan
Lin: Alibaba
Group; Keping Yang: Alibaba Group
How Airbnb Tells You Will Enjoy Sunset Sailing in
Barcelona?
Recommendation in a Two-Sided Travel Marketplace
Liang Wu: Airbnb, Inc.; Mihajlo Grbovic: Airbnb
Multiplex Behavioral Relation Learning for
Recommendation via
Memory Augmented Transformer Network
Lianghao Xia: South China University of Technology;
Chao Huang:
JD Digits; Yong Xu: South China University of Technology; Peng Dai: JD Digits; Bo
Zhang: Boshi
Qiangzhi Science and Technology Co., Ltd; Liefeng Bo: JD Digits
Towards Personalized and Semantic Retrieval: An
End-to-End
Solution for E-commerce Search via Embedding Learning
Han Zhang: JD.com; Songlin Wang: JD.com; Kang Zhang:
JD.com;
Zhiling Tang: JD.com; Yunjiang Jiang: JD.com Silicon Valley Research Center; Yun
Xiao: JD.com
Silicon Valley Research Center; Paul Yan: JD.com; Wen-Yun Yang: JD.com Silicon
Valley Research
Center
Doctoral Consortium Papers
Incorporating User Feedback in Conversational Question Answering over Heterogeneous Web Sources
Magdalena Kaiser: Max Planck Institute for Informatics
Towards Legal Case Retrieval
Yunqiu Shao: Tsinghua University
Every Penny Counts: On Increasing the Intrinsic Value of Crowdsourcing
Lei Han: The University of Queensland
Biomedical Information Retrieval Incorporating Knowledge Graph for Explainable Precision Medicine
Zuoxi Yang: South China University of Technology; Shoubin Dong: South China University of Technology
Bridging East and West: An Integration of TCM and Western Medicine in Medical Text Mining
Runjie Zhu: York University
Legal Data Analytics: Developing Assistive Tools for Legal Practitioners
Paheli Bhattacharya: Indian Institute of Technology Kharagpur
Towards Evaluating Veracity of Textual Statements on the Web
Qiang Zhang: University College London
Explaining Recommendations in Heterogeneous Networks
Azin Ghazimatin: Max Planck Institute for Informatics
Improving the Effectiveness and Efficiency of Graph NeuralRecommender Systems
Siwei Liu: University of Glasgow
End-to-End Contextualized Document Indexing and Retrieval with Neural Networks
Sebastian Hofstätter: Vienna University of Technology
Multi-document answer generation for non-factoid questions
Valeriia Bolotova-Baranova: RMIT University
Language Agnostic Hate Speech Detection
Ayme Arango: University of Chile
User Modeling Towards Stateful Learning to Rank
Yanpeng Lin: University of Tsukuba
Spatio-temporal conditioned language models
Juglar Diaz Zamora: Universidad de Chile