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Omar Khattab and Matei Zaharia Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. 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. Rong Jin User Behavior Retrieval for Click-Through Rate Prediction. Bruce Croft, and Mohit Iyyer Learning to Ask Screening Questions for Job Postings. Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, and James Cheng ASiNE: Adversarial Signed Network Embedding. 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. Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Hao Xiong, Zheng Zhang, and George Karypis Neural Interactive Collaborative Filtering. 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. Session 3A July 27, Bias and Fairness Chair: Ricardo Baeza-Yates Northeastern University Operationalizing the Legal Principle of Data Minimization for Personalization. Yu Sequential Recommendation with Self-attentive Multi-adversarial Network. Simone Filice, Anjie Fang, Nut Limsopatham, and Oleg Rokhlenko Knowledge Enhanced Personalized Search. 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. 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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. Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, and Jimmy Huang CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems. Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Marco Morik, Ashudeep Singh, Jessica Hong, and Thorsten Joachims Can the Crowd Identify Misinformation Objectively? Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, and Keping Yang Automated Embedding Size Search in Deep Recommender Systems. Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, and Bracha Shapira Coding Electronic Health Records with Adversarial Reinforcement Path Generation. Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, and Ji-Rong Wen Reinforcement Learning to Rank with Pairwise Policy Gradient. 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. 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. Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, and Yong Yu How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Ye Yuan, Delong Ma, Zhenyu Wen, Yuliang Ma, Guoren Wang, and Lei Chen Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. 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. Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, and Hongbo Deng Table Search Using a Deep Contextualized Language Model. Zheng Liu, Junhan Yang, Jianxun Lian, Defu Lian, and Xing Xie The Cortical Activity of Graded Relevance. 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. Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma, and Maarten de Rijke Degree-Aware Alignment for Entities in Tail. 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. Elad Kravi, David Carmel, and Yftah Ziser Training Curricula for Open Domain Answer Re-Ranking. 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. Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, and Liqiang Nie Spatial Object Recommendation with Hints: When Spatial Granularity Matters. Rolf Jagerman and Maarten de Rijke DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, and Ji-Rong Wen MVIN: Learning multiview items for recommendation. 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? 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. The Effects of Judgments Scale and Assessor's Bias. Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, and Gianluca Demartini Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. Tetsuya Sakai and Zhaohao Zeng Preference-based Evaluation Metrics for Web Image Search. Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, and Dawei Yin An Eye Tracking Study of Web Search by People with and without Dyslexia. 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. 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. 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. 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Shane Culpepper, Haochao Ying, Hao Liu, and Hui Xiong Product Bundle Identification using Semi-Supervised Learning. Jiongnan Liu, Zhicheng Dou, Xiaojie Wang, Shuqi Lu, and Ji-Rong Wen Policy-Aware Unbiased Learning to Rank for Top-k Rankings.

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.

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Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Best gog games 2020, Xiaozhong Liu, and Wei Lu Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models. 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.

Rodger Benham, Ben Carterette, J. Bin Liu, Niannan Xue, Huifeng Guo, Best gog games 2020 Tang, Stefanos Zafeiriou, Xiuqiang He, and Zhenguo Li KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation.

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