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Zhixiang He, Chi-Yin Chow, and Jia-Dong Zhang Multi-behavior Recommendation with Graph Convolution Networks. Shane Culpepper, and Alistair Moffat How to Measure the Reproducibility of System-oriented IR Experiments. Bowen Jin, Chen Gao, Xiangnan He, Yong Li, and Depeng Jin GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, and Zhen Tan Regional Relation Modeling for Visual Place Recognition. Jiongnan Liu, Zhicheng Dou, Xiaojie Wang, Shuqi Lu, and Ji-Rong Wen Policy-Aware Unbiased Learning to Rank for Top-k Rankings. Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, and Wenwu Ou Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. Omar Khattab and Matei Zaharia Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, and Zhenguo Li KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. Gregory Goren, Oren Kurland, Moshe Tennenholtz, and Fiana Raiber On Understanding Data Worker Interaction Behaviors. Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, and Kun Gai ColBERT: Efficient and Effective Search via Contextualized Late Interaction over BERT. Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, and Shaoping Ma Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior. Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, and Gerard de Melo Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Haitian Chen, Min Zhang, and Shaoping Ma Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics. Recommendation in a Two-Sided Travel Marketplace. Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, and Ji-Rong Wen Session 3C July 27, Question Answering Chair: Jochen L. Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, and Yongfeng Zhang Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. Lixin Zou, Long Xia, Yulong Gu, Weidong Liu, Dawei Yin, Jimmy Huang, and Xiangyu Zhao Industrial Session III July 28, Chair: Vanessa Murdock Amazon Invited talk: The New TREC Track on Podcast Search and Summarization. Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, and James Cheng ASiNE: Adversarial Signed Network Embedding. Shaoyun Shi, Weizhi Ma, Min Zhang, Yongfeng Zhang, Xinxing Yu, Houzhi Shan, Yiqun Liu, and Shaoping Ma Session 2C July 27, Evaluation Chair: Mark Sanderson RMIT University Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. Bruce Croft, and Mohit Iyyer Learning to Ask Screening Questions for Job Postings. Guoxiu He, Yangyang Kang, Zhuoren Jiang, Jiawei Liu, Changlong Sun, Xiaozhong Liu, and Wei Lu Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. Rodger Benham, Ben Carterette, J. Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Yongyu Jiang, Peng Zhang, Hui Gao, and Dawei Song A Deep Recurrent Survival Model for Unbiased Ranking. Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu, and Wei Lu Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models. Ye Yuan, Delong Ma, Zhenyu Wen, Yuliang Ma, Guoren Wang, and Lei Chen Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, and Ji-Rong Wen Learning Dynamic Node Representations with Graph Neural Networks. Rosie Jones Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise. Krisztian Balog and Filip Radlinski Bayesian Inferential Risk Evaluation on Multiple IR Systems. Fan Zhang, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Min Zhang, and Shaoping Ma Industrial Session II July 27, Chair: Mounia Lalmas Spotify Efficient and Effective Query Auto-Completion. The Effects of Judgments Scale and Assessor's Bias. Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder A Reinforcement Learning Framework for Relevance Feedback, Ali Montazeralghaem, Hamed Zamani, and James Allan Session 1B July 27, Knowledge and Explainability Chair: Vanessa Murdock Amazon Fairness-Aware Explainable Recommendation over Knowledge Graphs. Tracing Main System Features in a Systematic Way. Jibing Gong, Shen Wang, Jinlong Wang, Hao Peng, Wenzheng Feng, Dan Wang, Yi Zhao, Huanhuan Li, Jie Tang, and P. Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, and Ji-Rong Wen Reinforcement Learning to Rank with Pairwise Policy Gradient. Yeon-Chang Lee, Nayoun Seo, Sang-Wook Kim, and Kyungsik Han Efficient Graph Query Processing over Geo-Distributed Datacenters. Ze Wang, Lin Guangyan, Huobin Tan, Qinghong Chen, and Xiyang Liu CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, and Aixin Sun Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. Mengxi Wei, Yifan He, and Qiong Zhang Session 5A July 28, Domain Specific Applications 1 Chair: Elad Yom-Tov Microsoft Research Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. Zuzana Pinkosova, William McGeown, and Yashar Moshfeghi Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback. Elad Kravi, David Carmel, and Yftah Ziser Training Curricula for Open Domain Answer Re-Ranking. Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, and Zibin Zheng Controlling Fairness and Bias in Dynamic Ranking. Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, and Zhong Ming Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation.{/INSERTKEYS}{/PARAGRAPH} Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, and Hongbo Deng Table Search Using a Deep Contextualized Language Model. Yuta Saito Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation. Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, and Xing Xie Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation. Ziwei Zhu, Jianling Wang, and James Caverlee Session 3B July 27, Learning to Rank Chair: Hang Li Bytedance What Makes a Top-Performing Precision Medicine Search Engine? Marco Morik, Ashudeep Singh, Jessica Hong, and Thorsten Joachims Can the Crowd Identify Misinformation Objectively? Asia J. Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, and Liqiang Nie Spatial Object Recommendation with Hints: When Spatial Granularity Matters. Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma, and Maarten de Rijke Degree-Aware Alignment for Entities in Tail. Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, and Xiaozhao Wang Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling. Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Hao Xiong, Zheng Zhang, and George Karypis Neural Interactive Collaborative Filtering. Jianming Zheng, Fei Cai, and Honghui Chen Session 2B July 27, User Behavior and Experience Chair: Suzan Verberne Leiden University Ranking-Incentivized Quality Preserving Content Modification. Shane Culpepper, Haochao Ying, Hao Liu, and Hui Xiong Product Bundle Identification using Semi-Supervised Learning. Yongzhen Wang, Jian Wang, Heng Huang, Hongsong Li, and Xiaozhong Liu Session 1C July 27, Graph-based Analysis Chair: Qiaozhu Mei University of Michigan Pairwise View Weighted Graph Network for View-based 3D Model Retrieval. Simone Filice, Anjie Fang, Nut Limsopatham, and Oleg Rokhlenko Knowledge Enhanced Personalized Search. Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, and Tat-Seng Chua Global Context Enhanced Graph Nerual Networks for Session-based Recommendation. Zheng Gao, Hongsong Li, Zhuoren Jiang, and Xiaozhong Liu BiANE: Bipartite Attributed Network Embedding. Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, and Hui Xiong Session 4B July 28, Graph-based Recommendation Chair: Chirag Shah University of Washington LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. Hamed Bonab, Sheikh Muhammad Sarwar, and James Allan A Quantum Interference Inspired Neural Matching Model for Ad-hoc Retrieval. Erik Faessler, Michel Oleynik, and Udo Hahn Accelerated Convergence for Counterfactual Learning to Rank. Session 3A July 27, Bias and Fairness Chair: Ricardo Baeza-Yates Northeastern University Operationalizing the Legal Principle of Data Minimization for Personalization. Rolf Jagerman and Maarten de Rijke DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, and Bracha Shapira Coding Electronic Health Records with Adversarial Reinforcement Path Generation. Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, and Brian Davison Convolutional Embedding for Edit Distance. Wenxuan Zhang, Yang Deng, and Wai Lam Tuesday, July 28, Session 4A July 28, Query and Representation Chair: Rob Capra University of North Carolina ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. Simon Gog, Giulio Ermanno Pibiri, and Rossano Venturini ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, and Liefeng Bo Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction. Yingying Zhu, Biao Li, Jiong Wang, and Zhou Zhao Session 5B July 28, Learning for Recommendation Chair: Nicola Ferro University of Padua A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, and Lun-Wei Ku Make It a CHORUS: Context- and Knowledge-aware Item Modeling for Recommendation. Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, and Dawei Yin An Eye Tracking Study of Web Search by People with and without Dyslexia. Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, and Yong Yu Industrial Session I July 27, Chair: Weinan Zhang Shanghai Jiao Tong University Invited talk: Large-scale Multi-modal Search and QA at Alibaba. Tetsuya Sakai and Zhaohao Zeng Preference-based Evaluation Metrics for Web Image Search. {PARAGRAPH}{INSERTKEYS}SIGIR Main Conference Program Monday, July 27, Session 1A July 27, Neural IR and Semantic Matching Chair: Hamed Zamani Microsoft Training Effective Neural CLIR by Bridging the Translation Gap. Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, and Ji-Rong Wen MVIN: Learning multiview items for recommendation. Rong Jin User Behavior Retrieval for Click-Through Rate Prediction. Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation. Zheng Liu, Junhan Yang, Jianxun Lian, Defu Lian, and Xing Xie The Cortical Activity of Graded Relevance. Yu Sequential Recommendation with Self-attentive Multi-adversarial Network. Zan Gao, Yin-Ming Li, Wei-Li Guan, Wei-Zhi Nie, Zhi-Yong Cheng, and An-An Liu Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning. Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Liang Wu and Mihajlo Grbovic Session 2A July 27, Knowledge for Personalization Chair: Imed Zitouni Google Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation. Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, and Ophir Frieder Open-Retrieval Conversational Question Answering. Lei Han, Tianwa Chen, Gianluca Demartini, Marta Indulska, and Shazia Sadiq Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention. Wentao Huang, Yuchen Li, Yuan Fang, Ju Fan, and Hongxia Yang Hierarchical Fashion Graph Network for Personalised Outfit Recommendation. Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, and Gianluca Demartini Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. Harrie Oosterhuis and Maarten de Rijke SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. Ruihong Qiu, Hongzhi Yin, Zi Huang, and Tong Chen Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, and Yong Yu How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, and Keping Yang Automated Embedding Size Search in Deep Recommender Systems. Shijie Zhang, Hongzhi Yin, Tong Chen, Nguyen Quoc Viet Hung, Zi Huang, and Lizhen Cui Session 4C July 28, Neural Networks and Embedding Chair: Doug Oard University of Maryland Using Phoneme Representations to Build Predictive Models Robust to ASR Errors. Ziyang Wang, Wei Wei, Cong Gao, Xiaoli Li, Xianling Mao, and Minghui Qiu Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. Srishti Palani, Adam Fourney, Shane Williams, Kevin Larson, Irina Spiridonova, and Meredith Ringel Morris DGL-KE: Training knowledge graph embeddings at scale. Fan Zhang, Jiaxin Mao, Yiqun Liu, Xiaohui Xie, Weizhi Ma, Min Zhang, and Shaoping Ma Cascade or Recency: Constructing Better Evaluation Metrics for Session Search. Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, and Jimmy Huang CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems. Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, and Ian Soboroff Good Evaluation Measures based on Document Preferences. Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, and Meng Wang GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Identification. Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, and Shaoping Ma AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction.