Accepted Papers
Long Papers
A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta and Felice Antonio Merra
On Interpretation and Measurement of Soft Attributes for Recommendation
Krisztian Balog, Filip Radlinski and Alexandros Karatzoglou
Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search
Keping Bi, Qingyao Ai and W. Bruce Croft
Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage
Will Brackenbury, Galen Harrison, Kyle Chard, Aaron Elmore and Blase Ur
Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations
Nghi Bui, Yijun Yu and Lingxiao Jiang
Category-aware Collaborative Sequential Recommendation
Renqin Cai, Hongning Wang, Jibang Wu, Chong Wang and Aidan San
DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation
Xianshuai Cao, Yuliang Shi, Han Yu, Jihu Wang, Xinjun Wang, Zhongmin Yan and Zhiyong Chen
Sequential Recommendation with Graph Convolutional Networks
Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin and Yong Li
Dual Attention Transfer in Session-based Recommendation with Multi Dimensional Integration
Chen Chen, Jie Guo and Bin Song
Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems
Huiyuan Chen, Lan Wang, Yusan Lin, Michael Yeh, Fei Wang and Hao Yang
AutoDebias: Learning to Debias for Recommendation
Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin and Keping Yang
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Lei Chen, Le Wu, Kun Zhang, Richang Hong and Meng Wang
DAIR: A Query-Efficient Decision-based Attack on Image Retrieval Systems
Mingyang Chen, Junda Lu, Jianbin Qin, Yi Wang and Wei Wang
Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage
Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng and Liqiang Nie
Long-Tail Hashing
Yong Chen, Yuqing Hou, Shu Leng, Qing Zhang, Zhouchen Lin and Dell Zhang
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement
Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan and Enhong Chen
Looking at CTR Prediction Again: Is Attention All You Need?
Yuan Cheng and Yanbo Xue
Unsupervised Proxy Selection for Session-based Recommender Systems
Junsu Cho, Seongku Kang, Dongmin Hyun and Hwanjo Yu
Evaluation measures based on preference graphs
Charles Clarke, Chengxi Luo and Mark Smucker
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz and Carsten Eickhoff
Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Sub State Updates
Daniel Cohen
Supporting metacognition during exploratory search with the OrgBox
Anita Crescenzi, Austin Ward, Yuan Li and Robert Capra
An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search
Arnon Dagan, Ido Guy and Slava Novgorodov
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Yang Deng, Yaliang Li, Fei Sun, Bolin Ding and Wai Lam
Graph Similarity Computation via Differentiable Optimal Assignment
Khoa Doan, Saurav Manchanda, Suchismit Mahapatra and Chandan K Reddy
Legal Judgment Prediction via Relational Learning
Qian Dong and Shuzi Niu
How Do Biased Search Result Rankings Affect User Attitudes on Debated Topics?
Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon and Benjamin Timmermans
PreSizE: Predicting Size in E-Commerce using Transformers
Yotam Eshel, Or Levi, Haggai Roitman and Alex Nus
Hybrid Learning to Rank for Financial Event Ranking
Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng and Tat-Seng Chua
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua and Qifan Wang
Multi-type Textual Reasoning for Product-aware Answer Generation
Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun and Ping Li
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems
Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu Chun Wang, Jianhui Ma, Shijin Wang and Yu Su
Make It Easy: An Effective End-to-End Entity Alignment Framework
Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng and Yunjun Gao
Iterative Pruning with Adaptive Regularization for Lifelong Sentiment Classification
Binzong Geng, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu and Min Yang
When Fair Ranking Meets Uncertain Inference
Avijit Ghosh, Ritam Dutt and Christo Wilson
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots
Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen and Xiaodan Zhu
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table
Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He and Wenzhi Liu
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin and Yi Chang
ReXPlug: Explainable Recommendation using Plug-and-Play Language Model
Deepesh Hada, Vijaikumar M and Shirish Shevade
Understanding and Mitigating Bias in Online Health Search
Anat Hashavit, Sarit Kraus, Tamar Stern, Raz Lin and Hongning Wang
CINES: Explore Citation Network and Event Sequences for Citation Forecasting
Fang He, Wang-Chien Lee, Tao-Yang Fu and Zhen Lei
Improving Video Retrieval by Adaptive Margin
Feng He, Qi Wang, Zhifan Feng, Wenbin Jiang, Yajuan Lyu, Yong Zhu and Xiao Tan
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell and Allan Hanbury
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin and Allan Hanbury
GilBERT: Generative Vision-Language Pre-Training for Modality-Incomplete Visual-Linguistic Tasks
Weixiang Hong, Kaixiang Ji, Jiajia Liu, Jian Wang, Jingdong Chen and Wei Chu
How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode
Xuanwen Huang, Yang Yang, Ziqiang Cheng, Shen Fan, Zhongyao Wang, Juren Li, Jun Zhang and Jingmin Chen
Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization
Anubhav Jangra, Sriparna Saha, Adam Jatowt and Mohammed Hasanuzzaman
xLightFM: Extremely Memory-Efficient Factorization Machine
Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian and Enhong Chen
Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval
Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He and Yueting Zhuang
Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs
Magdalena Kaiser, Rishiraj Saha Roy and Gerhard Weikum
"Did you buy it already?", Detecting Users Purchase-State From Their Product-Related Questions
Lital Kuchy, David Carmel, Thomas Huet and Elad Kravi
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Dongha Lee, Seongku Kang, Hyunjun Ju, Chanyoung Park and Hwanjo Yu
Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks
Won Chang Lee, Yeon-Chang Lee, Dongwon Lee and Sang-Wook Kim
Package Recommendation with Intra- and Inter-Package Attention Networks
Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang and Leyu Lin
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution
Chuanhao Li, Qingyun Wu and Hongning Wang
Few-shot Variational Reasoning for Medical Dialogue Generation
Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma and Maarten de Rijke
Path-based Deep Network for Candidate Item Matching in Recommenders
Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu and Haihong Tang
Hybrid Fusion with Intra- and Cross-Modality Attention for Image-Recipe Retrieval
Jiao Li, Xing Xu, Wei Yu, Fumin Shen, Zuo Cao, Kai Zuo and Heng Tao Shen
Knowledge-based Review Generation by Coherence Enhanced Text Planning
Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan and Ji-Rong Wen
New Insights into Metric Optimization for Ranking-based Recommendation
Roger Zhe Li, Julián Urbano and Alan Hanjalic
Glider: A reinforcement learning approach to extract UI scripts from websites
Yuanchun Li and Oriana Riva
Personalized Counterfactual Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge and Yongfeng Zhang
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang and Xueqi Cheng
Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation
Yile Liang, Tieyun Qian, Qing Li and Hongzhi Yin
Learning Discriminative Neural Representations for Event Detection
Jinzhi Liao, Xiang Zhao, Xinyi Li, Lingling Zhang and Jiuyang Tang
MMConv: an Environment for Multimodal Conversational Search across Multiple Domains
Lizi Liao, Long Le Hong, Zheng Zhang, Minlie Huang and Tat Seng Chua
Mitigating Sentiment Bias for Recommender Systems
Chen Lin, Xinyi Liu, Guipeng Xv and Hui Li
A Graph-Enhanced Click Model for Web Search
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao and Yong Yu
Adapting Interactional Observation Embedding for Counterfactual Learning to Rank
Chenghao Liu, Mouxiang Chen, Jianling Sun and Steven C.H. Hoi
Federated Collaborative Transfer for Cross-Domain Recommendation
Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang and Amelie Marian
Tracing Knowledge State with Individual Cognition and Acquisition Estimation
Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang and Yong Yu
Standing in Your Shoes: External Assessments for Personalized Recommender Systems
Hongyu Lu, Weizhi Ma, Min Zhang, Maarten de Rijke, Yiqun Liu and Shaoping Ma
Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting
Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun and Shikun Zhang
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li and Xueqi Cheng
One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles
Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong and Ji-Rong Wen
Learning to Rank for Mathematical Formula Retrieval
Behrooz Mansouri, Richard Zanibbi and Douglas Oard
Do Affective Cues Validate Behavioural Metrics for Search?
Daniel McDuff, Paul Thomas, Kael Rowan, Nick Craswell and Mary Czerwinski
Initiative-Aware Self-Supervised learning for Knowledge-Grounded Conversations
Chuan Meng, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi and Maarten de Rijke
A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction
Ze Meng, Jinnian Zhang, Yumeng Li, Jiancheng Li, Tanchao Zhu and Lifeng Sun
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization
Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai and Alex Schwing
A Graph-Convolutional Ranking Approach to Leverage the Relational Aspects of User-Generated Content
Kanika Narang, Adit Krishnan, Junting Wang, Chaoqi Yang, Hari Sundaram and Carolyn Sutter
Multimodal Activation: Awakening Dialog Robots withoutWake Words
Liqiang Nie, Mengzhao Jia, Xuemeng Song, Ganglu Wu, Harry Cheng and Jian Gu
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion
Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang and Luo Si
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness
Harrie Oosterhuis
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Li Li, Kun Zhang, Jinmei Luo, Zhaojie Liu and Yanlong Du
PTHash: Revisiting FCH Minimal Perfect Hashing
Giulio Ermanno Pibiri and Roberto Trani
Personalized News Recommendation with Knowledge-aware News Interactions
Tao Qi, Fangzhao Wu, Chuhan Wu and Yongfeng Huang
Hierarchical Multi-modal Contextual Attention Network for Fake News Detection
Shengsheng Qian, Jinguang Wang, Jun Hu, Quan Fang and Changsheng Xu
The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation
Yuqi Qin, Pengfei Wang and Chenliang Li
Dynamic Modality Interaction Modeling for Image-Text Retrieval
Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao and Liqiang Nie
Summarize Dates First: a paradigm shift in timeline summarization
Moreno La Quatra, Luca Cagliero, Elena Baralis, Alberto Messina and Maurizio Montagnuolo
A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning
Ahmed Rashed, Lars Schmidt-Thieme and Josif Grabocka
Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers
Navid Rekabsaz, Simone Kopeinik and Markus Schedl
Wizard of Search Engine: Access to Information Through Conversations with Search Engines
Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren and Maarten de Rijke
Learning to Ask Appropriate Questions in Conversational Recommendation
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang and Kai Zheng
Investigating User Behavior in Legal Case Retrieval
Yunqiu Shao, Yueyue Wu, Yiqun Liu, Jiaxin Mao, Min Zhang and Shaoping Ma
Neural Graph Matching based Collaborative Filtering
Yixin Su, Rui Zhang, Sarah M. Erfani and Junhao Gan
Modeling Intent Graph for Search Result Diversification
Zhan Su, Zhicheng Dou, Yutao Zhu, Xubo Qin and Ji-Rong Wen
Conversations Powered by Cross-Lingual Knowledge
Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen and Maarten de Rijke
FORM: Follow the Online Regularized Meta-Leader for Cold-Start Recommendation
Xuehan Sun, Tianyao Shi, Xiaofeng Gao, Yanrong Kang and Guihai Chen
User-Centric Path Reasoning towards ExplainableRecommendation
Chang-You Tai, Huang Liangying, Chienkun Huang and Ku Lun-Wei
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation
Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang and Chenliang Li
Scalable Personalised Item Ranking through Parametric Density Estimation
Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai and Shin'Ichi Satoh
Retrieving Complex Tables with Multi-Granular Graph Representation Learning
Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara and Pedro Szekely
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking
Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun and Guoxiao Zhang
Temporal Event Profiling based on Multivariate Time Series Analysis over Long-term Document Archives
Jiexin Wang, Adam Jatowt and Masatoshi Yoshikawa
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction
Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao and Tarek Abdelzaher
Privileged Graph Distillation for Cold-start Recommendation
Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong and Meng Wang
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang and Tat-Seng Chua
Decoupling Representation Learning and Classification for GNN-based Anomaly Detection
Yanling Wang, Jing Zhang, Shasha Guo, Hongzhi Yin, Cuiping Li and Hong Chen
Counterfactual Data-Augmented Sequential Recommendation
Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao and Ji-Rong Wen
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li and Maarten de Rijke
Comprehensive Linguistic-Visual Composition Network for Image Retrieval
Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan and Liqiang Nie
Meta-Inductive Node Classification across Graphs
Zhihao Wen, Yuan Fang and Zemin Liu
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training
Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen and Senchao Yuan
Self-supervised Graph Learning for Recommendation
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian and Xing Xie
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates and Jackie Chi Kit Cheung
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers
Yao Wu, Jian Cao, Guandong Xu and Yudong Tan
Graph Meta Network for Multi-Behavior Recommendation with Interaction Heterogeneity and Diversity
Lianghao Xia, Chao Huang, Yong Xu, Peng Dai and Liefeng Bo
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search
Xing Xie, Chaozhuo Li, Zheng Liu, Bochen Pang, Tianqi Yang, Yuming Liu, Yanling Cui, Hao Sun, Qi Zhang and Liangjie Zhang
Learning Domain Semantics and Cross-Domain Correlations for Paper Recommendation
Yi Xie, Yuqing Sun and Elisa Bertino
Comparison-based Conversational Recommender System with Relative Bandit Feedback
Zhihui Xie, Tong Yu, Canzhe Zhao and Shuai Li
Transformer Reasoning Network for Personalized Review Summarization
Hongyan Xu, Hongtao Liu, Pengfei Jiao and Wenjun Wang
Policy-Gradient Training of Fair and Unbiased Ranking Functions
Himank Yadav, Zhengxiao Du and Thorsten Joachims
Deconfounded Video Moment Retrieval with Causal Intervention
Xun Yang, Fuli Feng, Wei Ji, Meng Wang and Tat-Seng Chua
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization
Yonghui Yang, Le Wu, Richang Hong, Kun Zhang and Meng Wang
Few-Shot Conversational Dense Retrieval
Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng and Zhiyuan Liu
Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval
Tan Yu, Yi Yang, Yi Li, Lin Liu, Hongliang Fei and Ping Li
One Person, One Model, One World: Learning Lifelong User Representation without Forgetting
Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon Jose, Beibei Kong and Yudong Li
Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback
Yifei Yuan and Wai Lam
NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction
Linan Yue, Qi Liu, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin and Dayong Wu
PAN: Prototype-based Adaptive Network for Robust Cross-modal Retrieval
Zhixiong Zeng, Shuai Wang, Nan Xu and Wenji Mao
Optimizing Dense Retrieval Model Training with Hard Negatives
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang and Shaoping Ma
Fast Attention-based Learning-To-Rank for Structured Map Search
Chiqun Zhang, Michael Evans, Max Lepikhin and Dragomir Yankov
Video Corpus Moment Retrieval with Contrastive Learning
Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou and Rick Siow Mong Goh
Privacy Protection in Deep Multi-modal Retrieval
Peng-Fei Zhang, Yang Li, Zi Huang and Hongzhi Yin
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation
Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua and Fei Wu
Binary Neural Network Hashing for Image Retrieval
Wanqian Zhang, Dayan Wu, Yu Zhou, Bo Li, Weiping Wang and Dan Meng
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback
Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu and Ji-Rong Wen
Answer Complex Questions: Path Ranker Is All You Need
Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Fan Yu, Zhicheng Dou, Zhao Cao and Lei Chen
Causal Intervention for Leveraging Popularity Bias in Recommendation
Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling and Yongdong Zhang
IDRQA: Iterative Document Reranking for Open-domain Multi-hop Question Answering
Yuyu Zhang, Ping Nie, Arun Ramamurthy and Le Song
UGRec: Modeling Directed and Undirected Relations for Recommendation
Xinxiao Zhao, Zhiyong Cheng, Lei Zhu, Jiecai Zheng and Xueqing Li
WGCN: Graph Convolutional Networks with Weighted Structural Features
Yunxiang Zhao, Jianzhong Qi, Qingwei Liu and Rui Zhang
Group based Personalized Search by Integrating Search Behaviour and Friend Network
Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie and Ji-Rong Wen
Leveraging Lead Bias for Zero-shot Abstractive News Summarization
Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng and Xuedong Huang
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks
Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin and Juan Cao
Fairness among New Items in Cold Start Recommender Systems
Ziwei Zhu, Jingu Kim, Trung Nguyen, Aish Fenton and James Caverlee
TILDE: Term Independent Likelihood moDEl for Passage Re-ranking
Shengyao Zhuang and Guido Zuccon
How do Online Learning to Rank Methods Adapt to Change of Intent?
Shengyao Zhuang and Guido Zuccon
DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media
Hamad Zogan, Imran Razzak, Shoaib Jameel and Guandong Xu
Perspectives Papers
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos and Jimmy Lin
Towards Multi-Modal Conversational Information Seeking
Yashar Deldjoo, Johanne Trippas and Hamed Zamani
Current Challenges and Future Directions in Podcast Information Access
Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard and Ben Carterette
Short Papers
Regularized Dual-PPMI Co-clustering for Text Data
Séverine Affeldt, Lazhar Labiod and Mohamed Nadif
APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization
Ali Ahmadvand, Sayyed Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi and Eugene Agichtein
Variational Autoencoders for Top-K Recommendation with Implicit Feedback
Bahare Askari, Jaroslaw Szlichta and Amirali Salehi-Abari
Semantic Query Labeling Through Synthetic Query Generation
Elias Bassani and Gabriella Pasi
On the Orthogonality of Bias and Effectiveness in Ad hoc Retrieval
Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat and Ebrahim Bagheri
Predicting Links on Wikipedia with Anchor Text Information
Robin Brochier and Frédéric Béchet
When Choice Happens: A Systematic Examination of Mouse Movement Length for Decision Making in Web Search
Lukas Brückner, Ioannis Arapakis and Luis A. Leiva
Learning Early Exit Strategies for Additive Ranking Ensembles
Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego and Salvatore Trani
Podcast Metadata and Content: Episode Relevance and Attractiveness in Ad Hoc Search
Ben Carterette, Rosie Jones, Gareth Jones, Maria Eskevich, Sravana Reddy, Ann Clifton, Yongze Yu, Jussi Karlgren and Ian Soboroff
NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns
Manish Chandra, Debasis Ganguly, Pabitra Mitra, Bithika Pal and James Thomas
Entity Retrieval Using Fine-Grained Entity Aspects
Shubham Chatterjee and Laura Dietz
GraphPAS: Parallel Architecture Search for Graph Neural Networks
Jiamin Chen, Jianliang Gao, Moctard Babatounde Oloulade, Tengfei Lyu, Zhao Li and Yibo Chen
Adopted Graph Reasoning and Filtration for Description-Image Retrieval
Shiqian Chen, Zhiling Luo, Yingqi Gao, Wei Zhou, Chenliang Li and Haiqing Chen
Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval
Xuanang Chen, Ben He, Kai Hui, Yiran Wang, Le Sun and Yingfei Sun
Dual-View Distilled BERT for Sentence Embedding
Xingyi Cheng
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation
Jaekeol Choi, Euna Jung, Jangwon Suh and Wonjong Rhee
Knowledge Graph Embedding via Metagraph Learning
Chanyoung Chung and Joyce Whang
Motif-aware Sequential Recommendation
Zeyu Cui, Yinjiang Cai, Shu Wu, Xibo Ma and Liang Wang
MSSM: a Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning
Ke Ding, Xin Dong, Zhaoxin Huan, Yong He, Tan Yan, Linjian Mo, Liang Zhang, Chilin Fu, Xiaolu Zhang, Lei Cheng and Hai Li
User Preference-aware Fake News Detection
Yingtong Dou, Kai Shu, Congying Xia, Philip Yu and Lichao Sun
Does BERT pay attention to cyberbullying?
Fatma Elsafoury, Stamos Katsigiannis, Steve Wilson and Naeem Ramzan
Hierarchical Dependence-aware Evaluation Measures for Conversational Search
Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego and Nicola Tonellotto
Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora
Mikhail Fain, Niall Twomey and Danushka Bollegala
Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models
Wentao Fan, Zhiyan Guo, Nizar Bouguila and Wenjuan Hou
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie and Ji-Rong Wen
GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction
Hongliang Fei, Jingyuan Zhang, Xingxuan Zhou, Junhao Zhao, Xinyang Qi and Ping Li
Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries
Besnik Fetahu, Shervin Malmasi, Anjie Fang and Oleg Rokhlenko
Identifying Queries in Instant Search Logs
Markus Fischer, Kristof Komlossy, Benno Stein, Martin Potthast and Matthias Hagen
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
Thibault Formal, Stéphane Clinchant and Benjamin Piwowarski
SDG: A Simplified and Dynamic Graph Neural Network
Dongqi Fu and Jingrui He
Automatic Form Filling with Form-BERT
Gilad Fuchs, Haggai Roitman and Matan Mandelbrod
Maximal Multipolarized Cliques Search in Signed Networks
Jie Gao, Fei Hao, Geyong Min and Zhipeng Cai
The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems
Elizabeth Gómez, Carlos Shui Zhang, Ludovico Boratto, Maria Salamo and Mirko Marras
Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval
Yi He, Xin Liu, Yiu-Ming Cheung, Shu-Juan Peng, Jinhan Yi and Wentao Fan
Rumor Detection on Social Media with Event Augmentations
Zhenyu He, Ce Li, Fan Zhou and Yi Yang
Learning to Select Instance: Simultaneous Transfer Learning and Clustering
Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang and Linjian Mo
Deep Position-wise Interaction Network For CTR Prediction
Jianqiang Huang, Ke Hu, Qingtao Tang, Mingjian Chen, Yi Qi, Jia Cheng and Jun Lei
Deep User Match Network for Click-Through Rate Prediction
Zai Huang, Mingyuan Tao and Bufeng Zhang
AutoName: A Corpus-Based Set Naming Framework
Zhiqi Huang, Razieh Rahimi, Puxuan Yu, Jingbo Shang and James Allan
RMBERT:News Recommendation via Recurrent Reasoning Memory Network over BERT
Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He and Jieming Zhu
MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion
Zhiyi Jiang, Jianliang Gao and Xinqi Lv
Text-to-Text Multi-view Learning for Passage Re-ranking
Jia-Huei Ju, Jheng-Hong Yang and Chuan-Ju Wang
Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation
Taegwan Kang, Hwanhee Lee, Byeongjin Choe and Kyomin Jung
Web Document Encoding for Structure-Aware Keyphrase Extraction
Jihyuk Kim, Young-In Song and Seung-won Hwang
Revisiting the Tag Relevance Prediction Problem
Denis Kotkov and Alexandr Maslov
An Exploration of Tester-based Evaluation of User Simulators for Comparing Interactive Retrieval Systems.
Sahiti Labhishetty and Chengxiang Zhai
Graph Learning Regularization and Transfer Learning for Few-Shot Event Detection
Viet Lai, Minh Nguyen, Thien Huu Nguyen and Franck Dernoncourt
Composite Code Sparse Autoencoders for First Stage Retrieval
Carlos Lassance, Thibault Formal and Stéphane Clinchant
LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking
Chih-Hen Lee, Chih-Ming Chen, Jun-En Ding, Jing-Kai Lou, Ming-Feng Tsai and Chuan-Ju Wang
Dual Unbiased Recommender Learning for Implicit Feedback
Jae-woong Lee, Seongmin Park and Jongwuk Lee
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction
Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu and Bo Zheng
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback
Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao and Qing He
Accelerating Neural Architecture Search for Text Classification with Knowledge Distillation and Earth Mover's Distance
Jianquan Li, Xiaokang Liu, Sheng Zhang, Min Yang, Fengqing Qin and Ruifeng Xu
DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction
Jing Li, Gaosheng Wu, Dafei Yin, Haozhao Wang and Yonggang Wang
KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
Minghan Li and Eric Gaussier
Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs
Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu and Hengcan Shi
Investigating Session Search Behavior with Knowledge Graphs
Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang and Shaoping Ma
Graph-Structured Context Understanding for Knowledge-grounded Response Generation
Yanran Li, Wenjie Li and Zhitao Wang
Towards an Online Empathetic Chatbot with Emotion Causes
Yanran Li, Ke Li, Hongke Ning, Xiaoqiang Xia, Yalong Guo, Chen Wei, Jianwei Cui and Bin Wang
Improving Response Quality with Backward-reasoning in Open-domain Dialogue Systems
Ziming Li, Julia Kiseleva and Maarten de Rijke
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering
Zujie Liang, Haifeng Hu and Jiaying Zhu
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard
Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra and Emine Yilmaz
Info-flow Enhanced GANs for Recommender
Yuan Lin, Zhang Xie, Bo Xu, Kan Xu and Hongfei Lin
Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval
Bulou Liu, Yueyue Wu, Yiqun Liu, Fan Zhang, Yunqiu Shao, Chenliang Li, Min Zhang and Shaoping Ma
Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs
Jingzhou Liu, Dominic Hughes and Yiming Yang
Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences
Meng Liu and Yong Liu
Similar Trademark Detection via Semantic, Phonetic and Visual Similarity Information
Yingchi Liu, Quanzhi Li, Changlong Sun and Luo Si
Medical Triage Chatbot Diagnosis Improvement viaMulti-relational Hyperbolic Graph Neural Network
Zheng Liu, Zeyu You, Tao Yang, Xiaohan Li, Wei Fan and Philip Yu
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu, Ziwei Fan, Yu Wang and Philip S. Yu
X-2ch: Quad-Channel Collaborative Graph Network over Knowledge-Embedded Edges
Kachun Lo and Tsukasa Ishigaki
Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction
Xinwei Long, Shuzi Niu and Yucheng Li
Affective Dependency Graph for Sarcasm Detection
Chenwei Lou, Bin Liang, Lin Gui, Yulan He, Yixue Dang and Ruifeng Xu
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution
Qiuhao Lu, Thien Huu Nguyen and Dejing Dou
Distant Supervision based Machine Reading Comprehension for Extractive Summarization in Customer Service
Bing Ma, Cao Liu, Jingyu Wang, Shujie Hu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen and Jianxin Liao
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach
Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu and Bo Zheng
Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure
Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong and Zi Yan
Faster Index Reordering with Bipartite Graph Partitioning
Joel Mackenzie, Matthias Petri and Alistair Moffat
Learning Passage Impacts for Inverted Indexes
Antonio Mallia, Omar Khattab, Torsten Suel and Nicola Tonellotto
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani and Nick Craswell
A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models
Iurii Mokrii, Leonid Boytsov and Pavel Braslavski
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach
Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta and Niloy Ganguly
On the Privacy of Federated Pipelines
Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Jan Baumbach and David Blumenthal
DOZEN: Cross-Domain Zero Shot Named Entity Recognition with Knowledge Graph
Van-Hoang Nguyen, Francesco Gelli and Soujanya Poria
Propensity-Independent Bias Recovery in Offline Learning-to-rank Systems
Zohreh Ovaisi, Kathryn Vasilaky and Elena Zheleva
Graph Pooling via Coarsened Graph Infomax
Yunsheng Pang, Yunxiang Zhao and Dongsheng Li
Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search
Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira and Jimmy Lin
Learning Robust Dense Retrieval Models from Incomplete Relevance Labels
Prafull Prakash, Julian Killingback and Hamed Zamani
Passage Retrieval for Outside-Knowledge Visual Question Answering
Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft and Erik Learned-Miller
Retrieving Skill-Based Teams from Collaboration Networks
Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava and Jaroslaw Szlichta
Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality
Chinmay Rane, Gaël Dias, Alexis Lechervy and Asif Ekbal
Evaluating the Predictivity of IR Experiments
Lida Rashidi, Justin Zobel and Alistair Moffat
Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization
Ramin Raziperchikolaei, Tianyu Li and Young-joo Chung
Synthetic Target Domain Supervision for Open Retrieval QA
Revanth Gangi Reddy, Bhavani Iyer, Md Arafat Sultan, Rong Zhang, Avi Sil, Vittorio Castelli, Radu Florian and Salim Roukos
An ALBERT-based Similarity Measure for Mathematical Answer Retrieval
Anja Reusch, Maik Thiele and Wolfgang Lehner
Predicting User Demography and Device from News Comments
Ohad Rozen, Joel Oren and Ariel Raviv
On the Two-Sample Randomisation Test for IR Evaluation
Tetsuya Sakai
Utility of Missing Concepts in Query Biased Summarization
Sheikh Muhammad Sarwar, Felipe Moraes, Jiepu Jiang and James Allan
Time Aware Hyperbolic LSTM for Financial Stream Modeling
Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa and Rajiv Shah
Cluster-Based Bandits: Fast Cold-Start for Recommender System New Users
Sulthana Shams, Daron Anderson and Douglas Leith
Window Navigation with Adaptive Probing for Executing BlockMax WAND
Jinjin Shao, Yifan Qiao, Shiyu Ji and Tao Yang
User Feedback and Ranking in-a-Loop: Towards Self-Adaptive Dialogue Systems
Chen Shi, Yuxiang Hu, Zengming Zhang, Liang Shao and Feijun Jiang
Generalized Zero-shot Intent Detection via Commonsense Knowledge
A.B. Siddique, Fuad Jamour, Luxun Xu and Vagelis Hristidis
Social Recommendation with Implicit Social Influence
Changhao Song, Bo Wang, Qinxue Jiang, Ruifang He and Yuexian Hou
LS-DST: Long and Sparse Dialogue State Tracking with Smart History Collector in Insurance Marketing
Liqiang Song, Mengqiu Yao, Ye Bi, Zhenyu Wu, Jianming Wang, Jing Xiao, Juan Wen and Xin Yu
Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems
Yuhai Song, Lu Wang, Haoming Dang, Weiwei Zhou, Jing Guan, Xiwei Zhao, Changping Peng, Yongjun Bao and Jingping Shao
Stopping Criteria for Technology-Assisted Reviews based on Counting Processes
Mark Stevenson and Alison Sneyd
Meta-Learned Specific Scenario Interest Network for User Preference Prediction
Yinan Sun, Kang Yin, Hehuan Liu, Si Li, Yajing Xu and Jun Guo
Knowledge Based Hyperbolic Propagation
Chang-You Tai, Chienkun Huang, Liang-Ying Huang and Lun-Wei Ku
Retrieving Implicit Information for Stock Movement Prediction
Tsun-Hsien Tang, Chung-Chi Chen, Hen-Hsen Huang and Hsin-Hsi Chen
Counterfactual Explanations for Neural Recommenders
Khanh Hiep Tran, Azin Ghazimatin and Rishiraj Saha Roy
Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval
Alberto Ueda, Rodrygo Santos, Craig Macdonald and Iadh Ounis
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading
Hoang Van, Vikas Yadav and Mihai Surdeanu
Sequential Recommendation for Cold-start Users with Meta Transitional Learning
Jianling Wang, Kaize Ding and James Caverlee
Cross-Batch Negative Sampling for Training Two-Tower Recommenders
Jinpeng Wang, Jieming Zhu and Xiuqiang He
Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory
Lihan Wang, Min Yang, Chengming Li, Ying Shen and Ruifeng Xu
Targeted Attack and Defense for Deep Hashing
Xunguang Wang, Zheng Zhang, Guangming Lu and Yong Xu
CIFDM: Continual and Interactive Feature Distillation forMulti-Label Stream Learning
Yigong Wang, Zhuoyi Wang, Yu Lin, Dingcheng Li and Latifur Khan
Visual Question Rewriting for Increasing Response Rate
Jiayi Wei, Xilian Li, Yi Zhang and Xin Wang
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction
Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang and Zulong Chen
Empowering News Recommendation with Pre-trained Language Models
Chuhan Wu, Fangzhao Wu, Tao Qi and Yongfeng Huang
Propensity-scored Probabilistic Label Trees
Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar and Krzysztof Dembczyński
Pseudo Siamese Network for Few-shot Intent Generation
Congying Xia, Caiming Xiong and Philip Yu
GAIPS: Accelerating Maximum Inner Product Search with GPU
Long Xiang, Xiao Yan, Lan Lu and Bo Tang
Bayesian Critiquing with Keyphrase Activation Vectors for VAE-based Recommender Systems
Hojin Yang, Tianshu Shen and Scott Sanner
ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation
Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma and Philip S. Yu
Cross Interaction Network for Natural Language Guided Video Moment Retrieval
Xinli Yu, Mohsen Malmir, Xin He, Jiangning Chen, Tong Wang, Yue Wu, Yue Liu and Yang Liu
ICAI-SR: Item Categorical Attribute Integrated Sequential Recommendation
Xu Yuan, Dongsheng Duan, Lingling Tong, Lei Shi and Cheng Zhang
Circumstances enhanced Criminal Court View Generation
Linan Yue, Qi Liu, Han Wu, Yanqing An, Li Wang, Senchao Yuan and Dayong Wu
Is Query Performance Prediction With Multiple Query Variations Harder Than Topic Performance Prediction?
Oleg Zendel, Shane Culpepper and Falk Scholer
Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index
Han Zhang, Hongwei Shen, Yiming Qiu, Yunjiang Jiang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long and Wen-Yun Yang
AMM: Attentive Multi-field Matching for News Recommendation
Qi Zhang, Qinglin Jia, Chuyuan Wang, Jingjie Li, Zhaowei Wang and Xiuqiang He
DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization
Xueying Zhang, Yunjiang Jiang, Yue Shang, Zhaomeng Cheng, Chi Zhang, Xiaochuan Fan, Yun Xiao and Bo Long
ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction
Yue Zhang, Hongliang Fei and Ping Li
Robust Neural Text Classification and Entailment via Mixup Regularized Adversarial Training
Jiahao Zhao, Penghui Wei and Wenji Mao
RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction
Pu Zhao, Chuan Luo, Cheng Zhou, Bo Qiao, Jiale He, Liangjie Zhang and Qingwei Lin
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction
Fan Zhou, Liu Yu, Xovee Xu and Goce Trajcevski
Temporal Augmented Graph Neural Networks for Session-Based Recommendations
Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou and Xiaoling Wang
De-Biased Modeling of Search Click Behavior with Reinforcement Learning
Jianghong Zhou, Sayyed Zahiri, Simon Hughes, Surya Kallumadi, Khalifeh Al Jadda and Eugene Agichtein
Communication Efficient Distributed Hypergraph Clustering
Chunjiang Zhu, Qinqing Liu and Jinbo Bi
ECG Data Modeling and Analyzing via Deep Representation Learning and Nonparametric Hidden Markov Models
Jiaojiao Zhu and Wentao Fan
Automated Graph Learning via Population Based Self-Tuning GCN
Ronghang Zhu, Zhiqiang Tao, Yaliang Li and Sheng Li
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin and Qing He
Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang and Zhicheng Dou
Federated Cross-Modal Retrieval
Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang and Bo Xu
Unsupervised Ensemble Learning with Noisy Label Correction
Xupeng Zou, Zhongnan Zhang, Zhen He and Liang Shi
Resource Papers
POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation
Jafar Afzali, Aleksander Mark Drzewiecki and Krisztian Balog
Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Vito Walter Anelli, Alejandro Bellogin, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini and Tommaso Di Noia
WTR: A Test Collection for Web Table Retrieval
Zhiyu Chen, Shuo Zhang and Brian Davison
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen Voorhees and Ian Soboroff
How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset
Jeff Dalton, Iain Mackie and Andrew Yates
CopyCat: Near-Duplicates within and between the ClueWeb and the Common Crawl
Maik Fröbe, Janek Bevendorff, Lukas Gienapp, Michael Völske, Benno Stein, Martin Potthast and Matthias Hagen
HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation
Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo and Yongfeng Zhang
Booking.com Multi-Destination Trips Dataset
Dmitri Goldenberg and Pavel Levin
A Multilingual Dataset for Named Entity Recognition, EntityLinking and Stance Detection in Historical Newspapers
Ahmed Hamdi, Elvys Linhares Pontes, Emanuela Boros, Thi Tuyet Hai Nguyen, Günter Hackl, Jose G. Moreno and Antoine Doucet
Conversational Entity Linking: Problem Definition and Datasets
Hideaki Joko, Faegheh Hasibi, Krisztian Balog and Arjen P. de Vries
A Test Collection for Ad-hoc Dataset Retrieval
Makoto P. Kato, Hiroaki Ohshima, Ying-Hsang Liu and Hsinliang Chen
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
Mayank Kothyari, Aman Jain, Vishwajeet Kumar, Preethi Jyothi, Soumen Chakrabarti and Ganesh Ramakrishnan
EXTRA: Explanation Ranking Datasets for Explainable Recommendation
Lei Li, Yongfeng Zhang and Li Chen
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations
Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep and Rodrigo Nogueira
LeCaRD: A Legal Case Retrieval Dataset for Chinese Law System
Yixiao Ma, Yunqiu Shao, Yueyue Wu, Yiqun Liu, Ruizhe Zhang, Min Zhang and Shaoping Ma
Simplified Data Wrangling with ir_datasets
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan and Nazli Goharian
REGIS: A Test Collection for Geoscientific Documents in Portuguese
Lucas L. Oliveira, Viviane P. Moreira and Regis K. Romeu
Pchatbot: A Large-Scale Dataset for Personalized Chatbot
Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou and Ji-Rong Wen
TripClick: The Log Files of a Large Health Web Search Engine
Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey and Carsten Eickhoff
WWW3E8: 259,000 Relevance Labels for Studying the Effect of Document Presentation Order for Relevance Assessors
Tetsuya Sakai, Sijie Tao and Zhaohao Zeng
Seer-Dock: A General-Purpose Dockerized Scholarly Document Collection and Management Framework
Dina Sayed, Mohamed Nour and Heiko Schuldt
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky and Marc Najork
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen and Maarten de Rijke
Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade
Igor Vatolkin, Philipp Ginsel and Günter Rudolph
On the Quality of the TREC-COVID IR Test Collections
Ellen Voorhees and Kirk Roberts
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia
Kayyen Wong, Diego Saez-Trumper and Miriam Redi
Morphologically Annotated Amharic Text Corpora
Tilahun Yeshambel, Josiane Mothe and Yaregal Assabie
Demonstrations
YASBIL: Yet Another Search Behaviour (and) Interaction Logger
Nilavra Bhattacharya and Jacek Gwizdka
DiffIR: Exploring Differences in Ranking Models' Behavior
Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton and Andrew Yates
Precision Medicine Search for Paediatric Oncology
Bevan Koopman, Tracey Wright, Natacha Omer, Veronica McCabe and Guido Zuccon
FedNLP: An interpretable NLP System to Decode Federal Reserve Communications
Jean Lee, Hoyoul Luis Youn, Nicholas Stevens, Josiah Poon and Soyeon Caren Han
Privacy-Aware Remote Information Retrieval User Experiments Logging Tool
Hanyu Li, Hongyu Lu, Songhao Hunag, Weizhi Ma, Min Zhang, Yiqun Liu and Shaoping Ma
OpenMatch: An Open Source Library for Neu-IR Research
Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu and Maosong Sun
QuARk: A GUI for Quality-Aware Ranking of Arguments
Markus Nilles, Lorik Dumani and Ralf Schenkel
Towards Trustworthiness in the context of Explainable Search
Sayantan Polley, Rashmi Koparde, Akshaya Bindu Gowri, Maneendra Perera and Andreas Nuernberger
The Information Retrieval Anthology
Martin Potthast, Sebastian Günther, Janek Bevendorff, Jan Philipp Bittner, Alexander Bondarenko, Maik Fröbe, Christian Kahmann, Andreas Niekler, Michael Völske, Benno Stein and Matthias Hagen
PECAN: A Platform for Searching Chat Conversations
Kunpeng Qin, Harrisen Scells and Guido Zuccon
Science2Cure: A Clinical Trial Search Prototype
Maciej Rybinski, Sarvnaz Karimi and Aleney Khoo
Big Brother: A Drop-In Website Interaction Logging Service
Harrisen Scells, Jimmy and Guido Zuccon
DarkJargon.net: A Platform for Understanding Underground Conversation with Latent Meaning
Dominic Seyler, Wei Liu, Yunan Zhang, Xiaofeng Wang and Chengxiang Zhai
QuTI! Quantifying Text-Image Consistency in Multimodal Documents
Matthias Springstein, Eric Müller-Budack and Ralph Ewerth
GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval
Golsa Tahmasebzadeh, Endri Kacupaj, Eric Muller-Budack, Sherzod Hakimov, Jens Lehmann and Ralph Ewerth
News2PubMed: A Browser Extension for Linking Health News to Medical Literature
Jun Wang and Bei Yu
OrgBox: Supporting Cognitive and Metacognitive Activities During Exploratory Search
Austin Ward and Robert Capra
Interacting with Information in Immersive Virtual Environments
Austin Ward, Yiyin Gu, Sandeep Avula and Praneeth Chakravarthula
Chatty Goose: A Python Framework for Conversational Search
Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira and Jimmy Lin
A Web-based Knowledge Hub for Exploration of MultipleResearch Article Collections
Wei Emma Zhang, Miao Liu, Alan Pallath and Gokul Tamilventhan
PYA0: A Python Toolkit for Accessible Math-Aware Search
Wei Zhong and Jimmy Lin
Doctoral Consortium Papers
Bridge the Gap: Industrial Data Pipeline oriented Recommendation Enhancement
Jie Dai
Understanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics
Tim Draws
Semi-automatic labelling of scientific articles using deep learning to enlarge benchmark data for scientific summarization
Alaa Elebshihy
Enabling Performance Prediction in Information Retrieval Evaluation
Guglielmo Faggioli
Improving Deep Learning based Multi-document Summarization through Linguistic Knowledge
Congbo Ma
Embedding Formulae and Text for Improved Math Retrieval
Behrooz Mansouri
Interpretable Document Representations for Fast and Accurate Retrieval of Mathematical Information
Vít Novotný
Estimating the Reliability of Health-related Search Results
Marcos Fernández Pichel
Transfer learning for the multilingual and multi-domain classification of messages relating to crises
Cinthia Sánchez
HONto: A Bottom-Up Knowledge Base from Textbooks for Recommending Contextually Relevant Documents
Sabine Wehnert
New Perspectives to Query Performance Prediction Evaluation
Oleg Zendel