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

Simone Filice: Amazon; Anjie Fang: Amazon.com; Nut Limsopatham: Amazon; 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

Lightening 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 Search via Contextualized Late Interaction over BERT

Omar Khattab: Stanford University; Matei Zaharia: Stanford University

Finding the Best of Two 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; Leif Azzopardi: University of Strathclyde; Martin Halvey: University of Strathclyde; Alessandro Suglia: Edinburgh Centre for Robotics

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: University of Amsterdam; 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