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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

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Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

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The Next Generation of Neural Networks
Geoffrey E. Hinton

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Proof by Experimentation? Towards Better IR Research
Norbert Fuhr

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Coopetition in IR Research
Ellen M. Voorhees

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On Presuppositions of Machine Learning: A Meta Theory
Zongben Xu

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How Deep Learning Works for Information Retrieval
Dacheng Tao

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From Information to Assistance
Elizabeth F. Churchill

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The New TREC Track on Podcast Search and Summarization
Rosie Jones

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Large-scale Multi-modal Search and QA at Alibaba
Rong Jin

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Training Effective Neural CLIR by Bridging the Translation Gap
Hamed R. Bonab | Sheikh Muhammad Sarwar | James Allan

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A Quantum Interference Inspired Neural Matching Model for Ad-hoc Retrieval
Yongyu Jiang | Peng Zhang | Hui Gao | Dawei Song

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A Deep Recurrent Survival Model for Unbiased Ranking
Jiarui Jin | Yuchen Fang | Weinan Zhang | Kan Ren | Guorui Zhou | Jian Xu | Yong Yu | Jun Wang | Xiaoqiang Zhu | Kun Gai

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ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab | Matei Zaharia

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Efficient Document Re-Ranking for Transformers by Precomputing Term Representations
Sean MacAvaney | Franco Maria Nardini | Raffaele Perego | Nicola Tonellotto | Nazli Goharian | Ophir Frieder

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A Reinforcement Learning Framework for Relevance Feedback
Ali Montazeralghaem | Hamed Zamani | James Allan

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Fairness-Aware Explainable Recommendation over Knowledge Graphs
Zuohui Fu | Yikun Xian | Ruoyuan Gao | Jieyu Zhao | Qiaoying Huang | Yingqiang Ge | Shuyuan Xu | Shijie Geng | Chirag Shah | Yongfeng Zhang | Gerard de Melo

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Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
Jibing Gong | Shen Wang | Jinlong Wang | Wenzheng Feng | Hao Peng | Jie Tang | Philip S. Yu

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Sequential Recommendation with Self-Attentive Multi-Adversarial Network
Ruiyang Ren | Zhaoyang Liu | Yaliang Li | Wayne Xin Zhao | Hui Wang | Bolin Ding | Ji-Rong Wen

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MVIN: Learning Multiview Items for Recommendation
Chang-You Tai | Meng-Ru Wu | Yun-Wei Chu | Shao-Yu Chu | Lun-Wei Ku

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Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation
Chenyang Wang | Min Zhang | Weizhi Ma | Yiqun Liu | Shaoping Ma

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Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior
Yongzhen Wang | Jian Wang | Heng Huang | Hongsong Li | Xiaozhong Liu

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Pairwise View Weighted Graph Network for View-based 3D Model Retrieval
Zan Gao | Yin-Ming Li | Weili Guan | Weizhi Nie | Zhiyong Cheng | Anan Liu

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Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning
Zheng Gao | Hongsong Li | Zhuoren Jiang | Xiaozhong Liu

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BiANE: Bipartite Attributed Network Embedding
Wentao Huang | Yuchen Li | Yuan Fang | Ju Fan | Hongxia Yang

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Hierarchical Fashion Graph Network for Personalized Outfit Recommendation
Xingchen Li | Xiang Wang | Xiangnan He | Long Chen | Jun Xiao | Tat-Seng Chua

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Global Context Enhanced Graph Neural Networks for Session-based Recommendation
Ziyang Wang | Wei Wei | Gao Cong | Xiao-Li Li | Xianling Mao | Minghui Qiu

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Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
Sijin Zhou | Xinyi Dai | Haokun Chen | Weinan Zhang | Kan Ren | Ruiming Tang | Xiuqiang He | Yong Yu

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Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation
Chong Chen | Min Zhang | Weizhi Ma | Yiqun Liu | Shaoping Ma

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AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction
Bin Liu | Niannan Xue | Huifeng Guo | Ruiming Tang | Stefanos Zafeiriou | Xiuqiang He | Zhenguo Li

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KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
Pengfei Wang | Yu Fan | Long Xia | Wayne Xin Zhao | ShaoZhang Niu | Jimmy Huang

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CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems
Ze Wang | Guangyan Lin | Huobin Tan | Qinghong Chen | Xiyang Liu

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CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network
Cheng Zhao | Chenliang Li | Rong Xiao | Hongbo Deng | Aixin Sun

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Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs
Kangzhi Zhao | Xiting Wang | Yuren Zhang | Li Zhao | Zheng Liu | Chunxiao Xing | Xing Xie

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Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation
Jianming Zheng | Fei Cai | Honghui Chen

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Ranking-Incentivized Quality Preserving Content Modification
Gregory Goren | Oren Kurland | Moshe Tennenholtz | Fiana Raiber

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On Understanding Data Worker Interaction Behaviors
Lei Han | Tianwa Chen | Gianluca Demartini | Marta Indulska | Shazia W. Sadiq

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Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention
Guoxiu He | Yangyang Kang | Zhuoren Jiang | Jiawei Liu | Changlong Sun | Xiaozhong Liu | Wei Lu

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Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
Zheng Liu | Jianxun Lian | Junhan Yang | Defu Lian | Xing Xie

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The Cortical Activity of Graded Relevance
Zuzana Pinkosova | William J. McGeown | Yashar Moshfeghi

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Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback
Yuta Saito

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Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation
Shaoyun Shi | Weizhi Ma | Min Zhang | Yongfeng Zhang | Xinxing Yu | Houzhi Shan | Yiqun Liu | Shaoping Ma

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Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations
Krisztian Balog | Filip Radlinski

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Bayesian Inferential Risk Evaluation On Multiple IR Systems
Rodger Benham | Ben Carterette | J. Shane Culpepper | Alistair Moffat

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How to Measure the Reproducibility of System-oriented IR Experiments
Timo Breuer | Nicola Ferro | Norbert Fuhr | Maria Maistro | Tetsuya Sakai | Philipp Schaer | Ian Soboroff

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Good Evaluation Measures based on Document Preferences
Tetsuya Sakai | Zhaohao Zeng

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Preference-based Evaluation Metrics for Web Image Search
Xiaohui Xie | Jiaxin Mao | Yiqun Liu | Maarten de Rijke | Haitian Chen | Min Zhang | Shaoping Ma

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Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics
Fan Zhang | Jiaxin Mao | Yiqun Liu | Xiaohui Xie | Weizhi Ma | Min Zhang | Shaoping Ma

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Cascade or Recency: Constructing Better Evaluation Metrics for Session Search
Fan Zhang | Jiaxin Mao | Yiqun Liu | Weizhi Ma | Min Zhang | Shaoping Ma

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Operationalizing the Legal Principle of Data Minimization for Personalization
Asia J. Biega | Peter Potash | Hal Daumé III | Fernando Diaz | Michèle Finck

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Learning Personalized Risk Preferences for Recommendation
Yingqiang Ge | Shuyuan Xu | Shuchang Liu | Zuohui Fu | Fei Sun | Yongfeng Zhang

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Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines
Yang Liu | Xianzhuo Xia | Liang Chen | Xiangnan He | Carl Yang | Zibin Zheng

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Controlling Fairness and Bias in Dynamic Learning-to-Rank
Marco Morik | Ashudeep Singh | Jessica Hong | Thorsten Joachims

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Can The Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's Background
Kevin Roitero | Michael Soprano | Shaoyang Fan | Damiano Spina | Stefano Mizzaro | Gianluca Demartini

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Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems
Ziwei Zhu | Jianling Wang | James Caverlee

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What Makes a Top-Performing Precision Medicine Search Engine?: Tracing Main System Features in a Systematic Way
Erik Faessler | Michel Oleynik | Udo Hahn

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Accelerated Convergence for Counterfactual Learning to Rank
Rolf Jagerman | Maarten de Rijke

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DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features
Jiongnan Liu | Zhicheng Dou | Xiaojie Wang | Shuqi Lu | Ji-Rong Wen

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Policy-Aware Unbiased Learning to Rank for Top-k Rankings
Harrie Oosterhuis | Maarten de Rijke

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SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
Liang Pang | Jun Xu | Qingyao Ai | Yanyan Lan | Xueqi Cheng | Jirong Wen

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Reinforcement Learning to Rank with Pairwise Policy Gradient
Jun Xu | Zeng Wei | Long Xia | Yanyan Lan | Dawei Yin | Xueqi Cheng | Ji-Rong Wen

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Humor Detection in Product Question Answering Systems
Yftah Ziser | Elad Kravi | David Carmel

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Training Curricula for Open Domain Answer Re-Ranking
Sean MacAvaney | Franco Maria Nardini | Raffaele Perego | Nicola Tonellotto | Nazli Goharian | Ophir Frieder

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Open-Retrieval Conversational Question Answering
Chen Qu | Liu Yang | Cen Chen | Minghui Qiu | W. Bruce Croft | Mohit Iyyer

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Learning to Ask Screening Questions for Job Postings
Baoxu Shi | Shan Li | Jaewon Yang | Mustafa Emre Kazdagli | Qi He

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Match^2: A Matching over Matching Model for Similar Question Identification
Zizhen Wang | Yixing Fan | Jiafeng Guo | Liu Yang | Ruqing Zhang | Yanyan Lan | Xueqi Cheng | Hui Jiang | Xiaozhao Wang

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Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling
Wenxuan Zhang | Yang Deng | Wai Lam

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ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance
Zhihong Chen | Rong Xiao | Chenliang Li | Gangfeng Ye | Haochuan Sun | Hongbo Deng

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Table Search Using a Deep Contextualized Language Model
Zhiyu Chen | Mohamed Trabelsi | Jeff Heflin | Yinan Xu | Brian D. Davison

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Convolutional Embedding for Edit Distance
Xinyan Dai | Xiao Yan | Kaiwen Zhou | Yuxuan Wang | Han Yang | James Cheng

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ASiNE: Adversarial Signed Network Embedding
Yeon-Chang Lee | Nayoun Seo | Kyungsik Han | Sang-Wook Kim

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Efficient Graph Query Processing over Geo-Distributed Datacenters
Ye Yuan | Delong Ma | Zhenyu Wen | Yuliang Ma | Guoren Wang | Lei Chen

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Spatio-Temporal Dual Graph Attention Network for Query-POI Matching
Zixuan Yuan | Hao Liu | Yanchi Liu | Denghui Zhang | Fei Yi | Nengjun Zhu | Hui Xiong

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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He | Kuan Deng | Xiang Wang | Yan Li | Yong-Dong Zhang | Meng Wang

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GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation
Zhixiang He | Chi-Yin Chow | Jia-Dong Zhang

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Multi-behavior Recommendation with Graph Convolutional Networks
Bowen Jin | Chen Gao | Xiangnan He | Depeng Jin | Yong Li

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GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation
Ruihong Qiu | Hongzhi Yin | Zi Huang | Tong Chen

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Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Le Wu | Yonghui Yang | Kun Zhang | Richang Hong | Yanjie Fu | Meng Wang

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GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection
Shijie Zhang | Hongzhi Yin | Tong Chen | Quoc Viet Hung Nguyen | Zi Huang | Lizhen Cui

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Using Phoneme Representations to Build Predictive Models Robust to ASR Errors
Anjie Fang | Simone Filice | Nut Limsopatham | Oleg Rokhlenko

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Knowledge Enhanced Personalized Search
Shuqi Lu | Zhicheng Dou | Chenyan Xiong | Xiaojie Wang | Ji-Rong Wen

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Streaming Graph Neural Networks
Yao Ma | Ziyi Guo | Zhaochun Ren | Jiliang Tang | Dawei Yin

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An Eye Tracking Study of Web Search by People With and Without Dyslexia
Srishti Palani | Adam Fourney | Shane Williams | Kevin Larson | Irina Spiridonova | Meredith Ringel Morris

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DGL-KE: Training Knowledge Graph Embeddings at Scale
Da Zheng | Xiang Song | Chao Ma | Zeyuan Tan | Zihao Ye | Jin Dong | Hao Xiong | Zheng Zhang | George Karypis

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Neural Interactive Collaborative Filtering
Lixin Zou | Long Xia | Yulong Gu | Xiangyu Zhao | Weidong Liu | Jimmy Xiangji Huang | Dawei Yin

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Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme
Xue Dong | Jianlong Wu | Xuemeng Song | Hongjun Dai | Liqiang Nie

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Spatial Object Recommendation with Hints: When Spatial Granularity Matters
Hui Luo | Jingbo Zhou | Zhifeng Bao | Shuangli Li | J. Shane Culpepper | Haochao Ying | Hao Liu | Hui Xiong

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Product Bundle Identification using Semi-Supervised Learning
Hen Tzaban | Ido Guy | Asnat Greenstein-Messica | Arnon Dagan | Lior Rokach | Bracha Shapira

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Coding Electronic Health Records with Adversarial Reinforcement Path Generation
Shanshan Wang | Pengjie Ren | Zhumin Chen | Zhaochun Ren | Jian-Yun Nie | Jun Ma | Maarten de Rijke

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Degree-Aware Alignment for Entities in Tail
Weixin Zeng | Xiang Zhao | Wei Wang | Jiuyang Tang | Zhen Tan

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Regional Relation Modeling for Visual Place Recognition
Yingying Zhu | Biao Li | Jiong Wang | Zhou Zhao

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A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data
Dugang Liu | Pengxiang Cheng | Zhenhua Dong | Xiuqiang He | Weike Pan | Zhong Ming

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Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation
Elisa Mena-Maldonado | Rocío Cañamares | Pablo Castells | Yongli Ren | Mark Sanderson

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Leveraging Social Media for Medical Text Simplification
Nikhil Pattisapu | Nishant Prabhu | Smriti Bhati | Vasudeva Varma

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Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Wenhui Yu | Zheng Qin

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MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations
Dongyang Zhao | Liang Zhang | Bo Zhang | Lizhou Zheng | Yongjun Bao | Weipeng Yan

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Towards Question-based Recommender Systems
Jie Zou | Yifan Chen | Evangelos Kanoulas

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Try This Instead: Personalized and Interpretable Substitute Recommendation
Tong Chen | Hongzhi Yin | Guanhua Ye | Zi Huang | Yang Wang | Meng Wang

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Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce
Longtao Huang | Bo Yuan | Rong Zhang | Quan Lu

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Distributed Equivalent Substitution Training for Large-Scale Recommender Systems
Haidong Rong | Yangzihao Wang | Feihu Zhou | Junjie Zhai | Haiyang Wu | Rui Lan | Fan Li | Han Zhang | Yuekui Yang | Zhenyu Guo | Di Wang

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Query Resolution for Conversational Search with Limited Supervision
Nikos Voskarides | Dan Li | Pengjie Ren | Evangelos Kanoulas | Maarten de Rijke

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Self-Supervised Reinforcement Learning for Recommender Systems
Xin Xin | Alexandros Karatzoglou | Ioannis Arapakis | Joemon M. Jose

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Generative Attribute Manipulation Scheme for Flexible Fashion Search
Xin Yang | Xuemeng Song | Xianjing Han | Haokun Wen | Jie Nie | Liqiang Nie

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How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models
Yashar Deldjoo | Tommaso Di Noia | Eugenio Di Sciascio | Felice Antonio Merra

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DPLCF: Differentially Private Local Collaborative Filtering
Chen Gao | Chao Huang | Dongsheng Lin | Depeng Jin | Yong Li

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Content-aware Neural Hashing for Cold-start Recommendation
Casper Hansen | Christian Hansen | Jakob Grue Simonsen | Stephen Alstrup | Christina Lioma

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Meta Matrix Factorization for Federated Rating Predictions
Yujie Lin | Pengjie Ren | Zhumin Chen | Zhaochun Ren | Dongxiao Yu | Jun Ma | Maarten de Rijke | Xiuzhen Cheng

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The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation
Tobias Schnabel | Saleema Amershi | Paul N. Bennett | Peter Bailey | Thorsten Joachims

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Disentangled Graph Collaborative Filtering
Xiang Wang | Hongye Jin | An Zhang | Xiangnan He | Tong Xu | Tat-Seng Chua

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Domain-Adaptive Neural Automated Essay Scoring
Yue Cao | Hanqi Jin | Xiaojun Wan | Zhiwei Yu

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ADORE: Aspect Dependent Online REview Labeling for Review Generation
Parisa Kaghazgaran | Jianling Wang | Ruihong Huang | James Caverlee

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Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval
Omar Khattab | Mohammad Hammoud | Tamer Elsayed

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Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste
Zahra Nazari | Christophe Charbuillet | Johan Pages | Martin Laurent | Denis Charrier | Briana Vecchione | Ben Carterette

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Learning with Weak Supervision for Email Intent Detection
Kai Shu | Subhabrata Mukherjee | Guoqing Zheng | Ahmed Hassan Awadallah | Milad Shokouhi | Susan T. Dumais

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3D Self-Attention for Unsupervised Video Quantization
Jingkuan Song | Ruimin Lang | Xiaosu Zhu | Xing Xu | Lianli Gao | Heng Tao Shen

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Modeling Personalized Item Frequency Information for Next-basket Recommendation
Haoji Hu | Xiangnan He | Jinyang Gao | Zhi-Li Zhang

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Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation
Adit Krishnan | Mahashweta Das | Mangesh Bendre | Hao Yang | Hari Sundaram

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Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
Wenjing Meng | Deqing Yang | Yanghua Xiao

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Next-item Recommendation with Sequential Hypergraphs
Jianling Wang | Kaize Ding | Liangjie Hong | Huan Liu | James Caverlee

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Encoding History with Context-aware Representation Learning for Personalized Search
Yujia Zhou | Zhicheng Dou | Ji-Rong Wen

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Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
Ziwei Zhu | Shahin Sefati | Parsa Saadatpanah | James Caverlee

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Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search
Helia Hashemi | Hamed Zamani | W. Bruce Croft

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Investigating Reference Dependence Effects on User Search Interaction and Satisfaction: A Behavioral Economics Perspective
Jiqun Liu | Fangyuan Han

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DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation
Chuan Meng | Pengjie Ren | Zhumin Chen | Weiwei Sun | Zhaochun Ren | Zhaopeng Tu | Maarten de Rijke

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What If Bots Feel Moods?
Lisong Qiu | Yingwai Shiu | Pingping Lin | Ruihua Song | Yue Liu | Dongyan Zhao | Rui Yan

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Expressions of Style in Information Seeking Conversation with an Agent
Paul Thomas | Daniel J. McDuff | Mary Czerwinski | Nick Craswell

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Analyzing and Learning from User Interactions for Search Clarification
Hamed Zamani | Bhaskar Mitra | Everest Chen | Gord Lueck | Fernando Diaz | Paul N. Bennett | Nick Craswell | Susan T. Dumais

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A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss
Hou Pong Chan | Wang Chen | Irwin King

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Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms
Chen Qian | Fuli Feng | Lijie Wen | Li Lin | Tat-Seng Chua

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Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation
Le Wu | Yonghui Yang | Lei Chen | Defu Lian | Richang Hong | Meng Wang

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Web-to-Voice Transfer for Product Recommendation on Voice
Rongting Zhang | Jie Yang

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Minimally Supervised Categorization of Text with Metadata
Yu Zhang | Yu Meng | Jiaxin Huang | Frank F. Xu | Xuan Wang | Jiawei Han

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Joint Aspect-Sentiment Analysis with Minimal User Guidance
Honglei Zhuang | Fang Guo | Chao Zhang | Liyuan Liu | Jiawei Han

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AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems
Dong-Kyu Chae | Jihoo Kim | Duen Horng Chau | Sang-Wook Kim

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Studying Product Competition Using Representation Learning
Fanglin Chen | Xiao Liu | Davide Proserpio | Isamar Troncoso | Feiyu Xiong

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Deep Critiquing for VAE-based Recommender Systems
Kai Luo | Hojin Yang | Ga Wu | Scott Sanner

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GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
Aravind Sankar | Yanhong Wu | Yuhang Wu | Wei Zhang | Hao Yang | Hari Sundaram

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Neighbor Interaction Aware Graph Convolution Networks for Recommendation
Jianing Sun | Yingxue Zhang | Wei Guo | Huifeng Guo | Ruiming Tang | Xiuqiang He | Chen Ma | Mark Coates

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A Generic Network Compression Framework for Sequential Recommender Systems
Yang Sun | Fajie Yuan | Min Yang | Guoao Wei | Zhou Zhao | Duo Liu

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Learning Efficient Representations of Mouse Movements to Predict User Attention
Ioannis Arapakis | Luis A. Leiva

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Query Reformulation in E-Commerce Search
Sharon Hirsch | Ido Guy | Alexander Nus | Arnon Dagan | Oren Kurland

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Generating Images Instead of Retrieving Them: Relevance Feedback on Generative Adversarial Networks
Antti Ukkonen | Pyry Joona | Tuukka Ruotsalo

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Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval
Xun Yang | Jianfeng Dong | Yixin Cao | Xun Wang | Meng Wang | Tat-Seng Chua

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Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval
Zhan Yang | Jun Long | Lei Zhu | Wenti Huang

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Employing Personal Word Embeddings for Personalized Search
Jing Yao | Zhicheng Dou | Ji-Rong Wen

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Query Rewriting for Voice Shopping Null Queries
Iftah Gamzu | Marina Haikin | Nissim Halabi

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Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval
Song Liu | Shengsheng Qian | Yang Guan | Jiawei Zhan | Long Ying

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Learning Colour Representations of Search Queries
Paridhi Maheshwari | Manoj Ghuhan | Vishwa Vinay

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Web Table Retrieval using Multimodal Deep Learning
Roee Shraga | Haggai Roitman | Guy Feigenblat | Mustafa Canim

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Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval
Di Wang | Quan Wang | Yaqiang An | Xinbo Gao | Yumin Tian

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Correlated Features Synthesis and Alignment for Zero-shot Cross-modal Retrieval
Xing Xu | Kaiyi Lin | Huimin Lu | Lianli Gao | Heng Tao Shen

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HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation
Shanshan Feng | Lucas Vinh Tran | Gao Cong | Lisi Chen | Jing Li | Fan Li

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Dual Sequential Network for Temporal Sets Prediction
Leilei Sun | Yansong Bai | Bowen Du | Chuanren Liu | Hui Xiong | Weifeng Lv

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Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation
Wen Wang | Wei Zhang | Jun Rao | Zhijie Qiu | Bo Zhang | Leyu Lin | Hongyuan Zha

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Time Matters: Sequential Recommendation with Complex Temporal Information
Wenwen Ye | Shuaiqiang Wang | Xu Chen | Xuepeng Wang | Zheng Qin | Dawei Yin

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Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Fajie Yuan | Xiangnan He | Alexandros Karatzoglou | Liguang Zhang

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How to Retrain Recommender System?: A Sequential Meta-Learning Method
Yang Zhang | Fuli Feng | Chenxu Wang | Xiangnan He | Meng Wang | Yan Li | Yongdong Zhang

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Dynamic Clustering with Discrete Time Event Prediction
Karan Aggarwal | Georgios Theocharous | Anup B. Rao

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Leveraging Transitions of Emotions for Sarcasm Detection
Ameeta Agrawal | Aijun An | Manos Papagelis

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JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search
Ali Ahmadvand | Surya Kallumadi | Faizan Javed | Eugene Agichtein

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Choppy: Cut Transformer for Ranked List Truncation
Dara Bahri | Yi Tay | Che Zheng | Donald Metzler | Andrew Tomkins

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Studying Ransomware Attacks Using Web Search Logs
Chetan Bansal | Pantazis Deligiannis | Chandra Shekhar Maddila | Nikitha Rao

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A Transformer-based Embedding Model for Personalized Product Search
Keping Bi | Qingyao Ai | W. Bruce Croft

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Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval
Limin Chen | Zhiwen Tang | Grace Hui Yang

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Metadata Matters in User Engagement Prediction
Xiang Chen | Saayan Mitra | Viswanathan Swaminathan

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Context-Aware Term Weighting For First Stage Passage Retrieval
Zhuyun Dai | Jamie Callan

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Summarizing and Exploring Tabular Data in Conversational Search
Shuo Zhang | Zhuyun Dai | Krisztian Balog | Jamie Callan

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Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification
Xin Dong | Yaxin Zhu | Yupeng Zhang | Zuohui Fu | Dongkuan Xu | Sen Yang | Gerard de Melo

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Response Quality in Human-Chatbot Collaborative Systems
Jiepu Jiang | Naman Ahuja

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High-Precision Extraction of Emerging Concepts from Scientific Literature
Daniel King | Doug Downey | Daniel S. Weld

doi dblp
Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic
Dingcheng Li | Xu Li | Jun Wang | Ping Li

doi dblp
Auto-annotation for Voice-enabled Entertainment Systems
Wenyan Li | Ferhan Türe

doi dblp
Domain Adaptation with Reconstruction for Disaster Tweet Classification
Xukun Li | Doina Caragea

doi dblp
Recipe Retrieval with Visual Query of Ingredients
Yen-Chieh Lien | Hamed Zamani | W. Bruce Croft

doi dblp
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Zhiwei Liu | Yingtong Dou | Philip S. Yu | Yutong Deng | Hao Peng

doi dblp
Expansion via Prediction of Importance with Contextualization
Sean MacAvaney | Franco Maria Nardini | Raffaele Perego | Nicola Tonellotto | Nazli Goharian | Ophir Frieder

doi dblp
Reranking for Efficient Transformer-based Answer Selection
Yoshitomo Matsubara | Thuy Vu | Alessandro Moschitti

doi dblp
Combining Contextualized and Non-contextualized Query Translations to Improve CLIR
Suraj Nair | Petra Galuscáková | Douglas W. Oard

doi dblp
Proactive Suggestion Generation: Data and Methods for Stepwise Task Assistance
Elnaz Nouri | Robert Sim | Adam Fourney | Ryen W. White

doi dblp
Contextual Re-Ranking with Behavior Aware Transformers
Chen Qu | Chenyan Xiong | Yizhe Zhang | Corby Rosset | W. Bruce Croft | Paul Bennett

doi dblp
Towards Explainable Retrieval Models for Precision Medicine Literature Search
Jiaming Qu | Jaime Arguello | Yue Wang

doi dblp
Search Result Explanations Improve Efficiency and Trust
Jerome Ramos | Carsten Eickhoff

doi dblp
Query by Example for Cross-Lingual Event Retrieval
Sheikh Muhammad Sarwar | James Allan

doi dblp
A Test Collection for Relevance and Sensitivity
Mahmoud F. Sayed | William Cox | Jonah Lynn Rivera | Caitlin Christian-Lamb | Modassir Iqbal | Douglas W. Oard | Katie Shilton

doi dblp
A Study of Methods for the Generation of Domain-Aware Word Embeddings
Dominic Seyler | ChengXiang Zhai

doi dblp
Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants
Christophe Van Gysel | Manos Tsagkias | Ernest Pusateri | Ilya Oparin

doi dblp
Data Poisoning Attacks against Differentially Private Recommender Systems
Soumya Wadhwa | Saurabh Agrawal | Harsh Chaudhari | Deepthi Sharma | Kannan Achan

doi dblp
Immersive Search: Using Virtual Reality to Examine How a Third Dimension Impacts the Searching Process
Austin R. Ward | Robert G. Capra

doi dblp
Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match
Vikas Yadav | Steven Bethard | Mihai Surdeanu

doi dblp
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization
Carl Yang | Jieyu Zhang | Haonan Wang | Bangzheng Li | Jiawei Han

doi dblp
A Case Study of Multi-class Classification with Diversified Precision Recall Requirements for Query Disambiguation
Yingrui Yang | Christopher Miller | Peng Jiang | Azadeh Moghtaderi

doi dblp
A Study of Neural Matching Models for Cross-lingual IR
Puxuan Yu | James Allan

doi dblp
Social Media User Geolocation via Hybrid Attention
Cheng Zheng | Jyun-Yu Jiang | Yichao Zhou | Sean D. Young | Wei Wang

doi dblp
Personalized Query Suggestions
Jianling Zhong | Weiwei Guo | Huiji Gao | Bo Long

doi dblp
Feature Transformation for Neural Ranking Models
Honglei Zhuang | Xuanhui Wang | Michael Bendersky | Marc Najork

doi dblp
MetaGen: An academic Meta-review Generation system
Chaitanya Bhatia | Tribikram Pradhan | Sukomal Pal

doi dblp
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity
Paheli Bhattacharya | Kripabandhu Ghosh | Arindam Pal | Saptarshi Ghosh

doi dblp
DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain
Ye Bi | Liqiang Song | Mengqiu Yao | Zhenyu Wu | Jianming Wang | Jing Xiao

doi dblp
A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension
Jie Cai | Zhengzhou Zhu | Ping Nie | Qian Liu

doi dblp
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems
Yuanjiang Cao | Xiaocong Chen | Lina Yao | Xianzhi Wang | Wei Emma Zhang

doi dblp
Bundle Recommendation with Graph Convolutional Networks
Jianxin Chang | Chen Gao | Xiangnan He | Depeng Jin | Yong Li

doi dblp
Re-ranking Answer Selection with Similarity Aggregation
Dong Chen | Shaoliang Peng | Kenli Li | Ying Xu | Jinling Zhang | Xiaolan Xie

doi dblp
JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation
Xu Chen | Changying Du | Xiuqiang He | Jun Wang

doi dblp
Attending to Inter-sentential Features in Neural Text Classification
Billy Chiu | Sunil Kumar Sahu | Neha Sengupta | Derek Thomas | Mohammady Mahdy

doi dblp
Retrieving Potential Causes from a Query Event
Suchana Datta | Debasis Ganguly | Dwaipayan Roy | Francesca Bonin | Charles Jochim | Mandar Mitra

doi dblp
Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization
Yang Deng | Wenxuan Zhang | Yaliang Li | Min Yang | Wai Lam | Ying Shen

doi dblp
MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients
Jianliang Gao | Tengfei Lyu | Fan Xiong | Jianxin Wang | Weimao Ke | Zhao Li

doi dblp
Deep Neural Matching Models for Graph Retrieval
Kunal Goyal | Utkarsh Gupta | Abir De | Soumen Chakrabarti

doi dblp
Session-based Recommendation with Hierarchical Leaping Networks
Cheng Guo | Mengfei Zhang | Jinyun Fang | Jiaqi Jin | Mao Pan

doi dblp
Multi-Branch Convolutional Network for Context-Aware Recommendation
Wei Guo | Can Zhang | Huifeng Guo | Ruiming Tang | Xiuqiang He

doi dblp
Predicting Session Length for Product Search on E-commerce Platform
Shashank Gupta | Subhadeep Maji

doi dblp
Dynamic Link Prediction by Integrating Node Vector Evolution and Local Neighborhood Representation
Xiaorong Hao | Tao Lian | Li Wang

doi dblp
Nonintrusive-Sensing and Reinforcement-Learning Based Adaptive Personalized Music Recommendation
Daocheng Hong | Yang Li | Qiwen Dong

doi dblp
Residual-Duet Network with Tree Dependency Representation for Chinese Question-Answering Sentiment Analysis
Guangyi Hu | Chongyang Shi | Shufeng Hao | Yu Bai

doi dblp
Neural Mathematical Solver with Enhanced Formula Structure
Zhenya Huang | Qi Liu | Weibo Gao | Jinze Wu | Yu Yin | Hao Wang | Enhong Chen

doi dblp
Detecting Concept Drift In Medical Triage
Hamish Huggard | Yun Sing Koh | Gillian Dobbie | Edmond Zhang

doi dblp
Evidence Weighted Tree Ensembles for Text Classification
Md. Zahidul Islam | Jixue Liu | Jiuyong Li | Lin Liu | Wei Kang

doi dblp
Graph Regularization for Multi-lingual Topic Models
Arnav Kumar Jain | Gundeep Arora | Rahul Agrawal

doi dblp
Multi-Modal Summary Generation using Multi-Objective Optimization
Anubhav Jangra | Sriparna Saha | Adam Jatowt | Mohammad Hasanuzzaman

doi dblp
A Re-visit of the Popularity Baseline in Recommender Systems
Yitong Ji | Aixin Sun | Jie Zhang | Chenliang Li

doi dblp
Training Mixed-Objective Pointing Decoders for Block-Level Optimization in Search Recommendation
Harsh Kohli

doi dblp
Reinforcement Learning based Recommendation with Graph Convolutional Q-network
Yu Lei | Hongbin Pei | Hanqi Yan | Wenjie Li

doi dblp
Crowdsourced Text Sequence Aggregation based on Hybrid Reliability and Representation
Jiyi Li

doi dblp
MRIF: Multi-resolution Interest Fusion for Recommendation
Shihao Li | Dekun Yang | Bufeng Zhang

doi dblp
Joint Training Capsule Network for Cold Start Recommendation
Tingting Liang | Congying Xia | Yuyu Yin | Philip S. Yu

doi dblp
Copula Guided Neural Topic Modelling for Short Texts
Lihui Lin | Hongyu Jiang | Yanghui Rao

doi dblp
Soft Kernel-based Ranking on a Statistical Manifold
Xinshi Lin | Wai Lam

doi dblp
Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension
Ao Liu | Shuai Yuan | Chenbin Zhang | Congjian Luo | Yaqing Liao | Kun Bai | Zenglin Xu

doi dblp
Chinese Document Classification with Bi-directional Convolutional Language Model
Bin Liu | Guosheng Yin

doi dblp
Neural Unified Review Recommendation with Cross Attention
Hongtao Liu | Wenjun Wang | Hongyan Xu | Qiyao Peng | Pengfei Jiao

doi dblp
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning
Jianfeng Liu | Feiyang Pan | Ling Luo

doi dblp
CapableOf Reasoning: A Step Towards Commonsense Oracle
Jingping Liu | Yanghua Xiao | Ao Wang | Liang He | Bin Shao

doi dblp
Interactive Entity Linking Using Entity-Word Representations
Pei-Chi Lo | Ee-Peng Lim

doi dblp
Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation
Junyu Lu | Xiancong Ren | Yazhou Ren | Ao Liu | Zenglin Xu

doi dblp
Differentially Private Knowledge Distillation for Mobile Analytics
Lingjuan Lyu | Chi-Hua Chen

doi dblp
Towards Differentially Private Text Representations
Lingjuan Lyu | Yitong Li | Xuanli He | Tong Xiao

doi dblp
Large-scale Image Retrieval with Sparse Binary Projections
Changyi Ma | Chonglin Gu | Wenye Li | Shuguang Cui

doi dblp
Efficiency Implications of Term Weighting for Passage Retrieval
Joel M. Mackenzie | Zhuyun Dai | Luke Gallagher | Jamie Callan

doi dblp
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews
Rajdeep Mukherjee | Hari Chandana Peruri | Uppada Vishnu | Pawan Goyal | Sourangshu Bhattacharya | Niloy Ganguly

doi dblp
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding
Ping Nie | Yuyu Zhang | Xiubo Geng | Arun Ramamurthy | Le Song | Daxin Jiang

doi dblp
An Intent-guided Collaborative Machine for Session-based Recommendation
Zhiqiang Pan | Fei Cai | Yanxiang Ling | Maarten de Rijke

doi dblp
Rethinking Item Importance in Session-based Recommendation
Zhiqiang Pan | Fei Cai | Yanxiang Ling | Maarten de Rijke

doi dblp
MHM: Multi-modal Clinical Data based Hierarchical Multi-label Diagnosis Prediction
Zhi Qiao | Zhen Zhang | Xian Wu | Shen Ge | Wei Fan

doi dblp
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements
Noveen Sachdeva | Julian J. McAuley

doi dblp
Dual Learning Algorithm for Delayed Conversions
Yuta Saito | Gota Morishita | Shota Yasui

doi dblp
Evaluation of Cross Domain Text Summarization
Liam Scanlon | Shiwei Zhang | Xiuzhen Zhang | Mark Sanderson

doi dblp
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process
Shuanghong Shen | Qi Liu | Enhong Chen | Han Wu | Zhenya Huang | Weihao Zhao | Yu Su | Haiping Ma | Shijin Wang

doi dblp
G2T: Generating Fluent Descriptions for Knowledge Graph
Yunzhou Shi | Zhiling Luo | Pengcheng Zhu | Feng Ji | Wei Zhou | Haiqing Chen | Yujiu Yang

doi dblp
Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection
Chongyang Tao | Wei Wu | Yansong Feng | Dongyan Zhao | Rui Yan

doi dblp
Visual Intents vs. Clicks, Likes, and Purchases in E-commerce
Riku Togashi | Tetsuya Sakai

doi dblp
MVL: Multi-View Learning for News Recommendation
T. Y. S. S. Santosh | Avirup Saha | Niloy Ganguly

doi dblp
Query/Task Satisfaction and Grid-based Evaluation Metrics Under Different Image Search Intents
Kosetsu Tsukuda | Masataka Goto

doi dblp
Learning Discriminative Joint Embeddings for Efficient Face and Voice Association
Rui Wang | Xin Liu | Yiu-ming Cheung | Kai Cheng | Nannan Wang | Wentao Fan

doi dblp
TFNet: Multi-Semantic Feature Interaction for CTR Prediction
Shu Wu | Feng Yu | Xueli Yu | Qiang Liu | Liang Wang | Tieniu Tan | Jie Shao | Fan Huang

doi dblp
Investigating Reading Behavior in Fine-grained Relevance Judgment
Zhijing Wu | Jiaxin Mao | Yiqun Liu | Min Zhang | Shaoping Ma

doi dblp
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis
Dongbo Xi | Fuzhen Zhuang | Bowen Song | Yongchun Zhu | Shuai Chen | Dan Hong | Tao Chen | Xi Gu | Qing He

doi dblp
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
Bingbing Xu | Junjie Huang | Liang Hou | Huawei Shen | Jinhua Gao | Xueqi Cheng

doi dblp
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning
Weidi Xu | Xingyi Cheng | Kunlong Chen | Taifeng Wang

doi dblp
Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction
Weinan Xu | Hengxu He | Minshi Tan | Yunming Li | Jun Lang | Dongbai Guo

doi dblp
A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention
Deqing Yang | Zengchun Song | Lvxin Xue | Yanghua Xiao

doi dblp
Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference
Min Yang | Ying Shen | Xiaojun Chen | Chengming Li

doi dblp
TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition
Zhengyu Yang | Jian Shen | Yunfei Liu | Yang Yang | Weinan Zhang | Yong Yu

doi dblp
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Feng Yu | Yanqiao Zhu | Qiang Liu | Shu Wu | Liang Wang | Tieniu Tan

doi dblp
Query Classification with Multi-objective Backoff Optimization
Hang Yu | Lester Litchfield

doi dblp
Influence Function for Unbiased Recommendation
Jiangxing Yu | Hong Zhu | Chih-Yao Chang | Xinhua Feng | Bo-Wen Yuan | Xiuqiang He | Zhenhua Dong

doi dblp
Few-Shot Generative Conversational Query Rewriting
Shi Yu | Jiahua Liu | Jingqin Yang | Chenyan Xiong | Paul N. Bennett | Jianfeng Gao | Zhiyuan Liu

doi dblp
User-Inspired Posterior Network for Recommendation Reason Generation
Haolan Zhan | Hainan Zhang | Hongshen Chen | Lei Shen | Yanyan Lan | Zhuoye Ding | Dawei Yin

doi dblp
An Analysis of BERT in Document Ranking
Jingtao Zhan | Jiaxin Mao | Yiqun Liu | Min Zhang | Shaoping Ma

doi dblp
Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process
Chenbin Zhang | Congjian Luo | Junyu Lu | Ao Liu | Bing Bai | Kun Bai | Zenglin Xu

doi dblp
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression
Jinming Zhao | Ming Liu | Longxiang Gao | Yuan Jin | Lan Du | He Zhao | He Zhang | Gholamreza Haffari

doi dblp
Improving Neural Chinese Word Segmentation with Lexicon-enhanced Adaptive Attention
Xiaoyan Zhao | Min Yang | Qiang Qu | Yang Sun

doi dblp
Sentiment-guided Sequential Recommendation
Lin Zheng | Naicheng Guo | Weihao Chen | Jin Yu | Dazhi Jiang

doi dblp
L2R^2: Leveraging Ranking for Abductive Reasoning
Yunchang Zhu | Liang Pang | Yanyan Lan | Xueqi Cheng

doi dblp
Automatic Generation of Topic Labels
Areej Alokaili | Nikolaos Aletras | Mark Stevenson

doi dblp
Extractive Snippet Generation for Arguments
Milad Alshomary | Nick Düsterhus | Henning Wachsmuth

doi dblp
Proposal and Comparison of Health Specific Features for the Automatic Assessment of Readability
Hélder Antunes | Carla Teixeira Lopes

doi dblp
MarkedBERT: Integrating Traditional IR Cues in Pre-trained Language Models for Passage Retrieval
Lila Boualili | Jose G. Moreno | Mohand Boughanem

doi dblp
Relevance Models for Multi-Contextual Appropriateness in Point-of-Interest Recommendation
Anirban Chakraborty | Debasis Ganguly | Owen Conlan

doi dblp
CAsT-19: A Dataset for Conversational Information Seeking
Jeffrey Dalton | Chenyan Xiong | Vaibhav Kumar | Jamie Callan

doi dblp
Predicting Perceptual Speed from Search Behaviour
Olivia Foulds | Alessandro Suglia | Leif Azzopardi | Martin Halvey

doi dblp
Learning Term Discrimination
Jibril Frej | Philippe Mulhem | Didier Schwab | Jean-Pierre Chevallet

doi dblp
Sampling Bias Due to Near-Duplicates in Learning to Rank
Maik Fröbe | Janek Bevendorff | Jan Heinrich Reimer | Martin Potthast | Matthias Hagen

doi dblp
Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs
Lu Gan | Diana Nurbakova | Léa Laporte | Sylvie Calabretto

doi dblp
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback
Carlos Gemmell | Federico Rossetto | Jeffrey Dalton

doi dblp
Unsupervised Semantic Hashing with Pairwise Reconstruction
Casper Hansen | Christian Hansen | Jakob Grue Simonsen | Stephen Alstrup | Christina Lioma

doi dblp
Factuality Checking in News Headlines with Eye Tracking
Christian Hansen | Casper Hansen | Jakob Grue Simonsen | Birger Larsen | Stephen Alstrup | Christina Lioma

doi dblp
ArTest: The First Test Collection for Arabic Web Search with Relevance Rationales
Maram Hasanain | Yassmine Barkallah | Reem Suwaileh | Mücahid Kutlu | Tamer Elsayed

doi dblp
Local Self-Attention over Long Text for Efficient Document Retrieval
Sebastian Hofstätter | Hamed Zamani | Bhaskar Mitra | Nick Craswell | Allan Hanbury

doi dblp
Using Exploration to Alleviate Closed Loop Effects in Recommender Systems
Amir Hossein Jadidinejad | Craig Macdonald | Iadh Ounis

doi dblp
A Heterogeneous Graph Neural Model for Cold-start Recommendation
Siwei Liu | Iadh Ounis | Craig Macdonald | Zaiqiao Meng

doi dblp
Query-level Early Exit for Additive Learning-to-Rank Ensembles
Claudio Lucchese | Franco Maria Nardini | Salvatore Orlando | Raffaele Perego | Salvatore Trani

doi dblp
Segmenting Search Query Logs by Learning to Detect Search Task Boundaries
Luis Lugo | Jose G. Moreno | Gilles Hubert

doi dblp
A Multilingual Approach for Unsupervised Search Task Identification
Luis Lugo | Jose G. Moreno | Gilles Hubert

doi dblp
Sequential-based Adversarial Optimisation for Personalised Top-N Item Recommendation
Jarana Manotumruksa | Emine Yilmaz

doi dblp
CrossBERT: A Triplet Neural Architecture for Ranking Entity Properties
Jarana Manotumruksa | Jeff Dalton | Edgar Meij | Emine Yilmaz

doi dblp
Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review
Graham McDonald | Craig Macdonald | Iadh Ounis

doi dblp
Topic Propagation in Conversational Search
Ida Mele | Cristina Ioana Muntean | Franco Maria Nardini | Raffaele Perego | Nicola Tonellotto | Ophir Frieder

doi dblp
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities
Guilherme Ramos | Ludovico Boratto

doi dblp
Do Neural Ranking Models Intensify Gender Bias?
Navid Rekabsaz | Markus Schedl

doi dblp
The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models
Procheta Sen | Debasis Ganguly | Manisha Verma | Gareth J. F. Jones

doi dblp
Fair Classification with Counterfactual Learning
Maryam Tavakol

doi dblp
Multi-grouping Robust Fair Ranking
Thibaut Thonet | Jean-Michel Renders

doi dblp
Distilling Knowledge for Fast Retrieval-based Chat-bots
Amir Vakili Tahami | Kamyar Ghajar | Azadeh Shakery

doi dblp
An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues
Svitlana Vakulenko | Evangelos Kanoulas | Maarten de Rijke

doi dblp
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank
Ali Vardasbi | Maarten de Rijke | Ilya Markov

doi dblp
Studying Ranking-Incentivized Web Dynamics
Ziv Vasilisky | Moshe Tennenholtz | Oren Kurland

doi dblp
How UMass-FSD Inadvertently Leverages Temporal Bias
Dominik Wurzer | Yumeng Qin

doi dblp
On the Reliability of Test Collections for Evaluating Systems of Different Types
Emine Yilmaz | Nick Craswell | Bhaskar Mitra | Daniel Campos

doi dblp
KLOOS: KL Divergence-based Out-of-Scope Intent Detection in Human-to-Machine Conversations
Eyup Halit Yilmaz | Cagri Toraman

doi dblp
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts
Markus Zlabinger | Marta Sabou | Sebastian Hofstätter | Mete Sertkan | Allan Hanbury

doi dblp
A Lightweight Environment for Learning Experimental IR Research Practices
Zeynep Akkalyoncu Yilmaz | Charles L. A. Clarke | Jimmy Lin

doi dblp
BRENDA: Browser Extension for Fake News Detection
Bjarte Botnevik | Eirik Sakariassen | Vinay Setty

doi dblp
Agent Dialogue: A Platform for Conversational Information Seeking Experimentation
Adam Czyzewski | Jeffrey Dalton | Anton Leuski

doi dblp
DataMirror: Reflecting on One's Data Self: A Tool for Social Media Users to Explore Their Digital Footprints
Amal Htait | Leif Azzopardi | Emma Nicol | Wendy Moncur

doi dblp
Conversational Question Answering over Passages by Leveraging Word Proximity Networks
Magdalena Kaiser | Rishiraj Saha Roy | Gerhard Weikum

doi dblp
FigExplorer: A System for Retrieval and Exploration of Figures from Collections of Research Articles
Saar Kuzi | ChengXiang Zhai | Yin Tian | Haichuan Tang

doi dblp
APS: An Active PubMed Search System for Technology Assisted Reviews
Dan Li | Panagiotis Zafeiriadis | Evangelos Kanoulas

doi dblp
Systematic Review Automation Tools for End-to-End Query Formulation
Hang Li | Harrisen Scells | Guido Zuccon

doi dblp
Deep Job Understanding at LinkedIn
Shan Li | Baoxu Shi | Jaewon Yang | Ji Yan | Shuai Wang | Fei Chen | Qi He

doi dblp
Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format
Jimmy Lin | Joel M. Mackenzie | Chris Kamphuis | Craig Macdonald | Antonio Mallia | Michal Siedlaczek | Andrew Trotman | Arjen P. de Vries

doi dblp
Web of Scholars: A Scholar Knowledge Graph
Jiaying Liu | Jing Ren | Wenqing Zheng | Lianhua Chi | Ivan Lee | Feng Xia

doi dblp
SPot: A Tool for Identifying Operating Segments in Financial Tables
Zhiqiang Ma | Steven Pomerville | Mingyang Di | Armineh Nourbakhsh

doi dblp
Receptor: A Platform for Exploring Latent Relations in Sensitive Documents
Hitarth Narvala | Graham McDonald | Iadh Ounis

doi dblp
FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort
Thanh Tam Nguyen | Matthias Weidlich | Hongzhi Yin | Bolong Zheng | Quang Huy Nguyen | Quoc Viet Hung Nguyen

doi dblp
WIRE: An Automated Report Generation System using Topical and Temporal Summarization
Yunseok Noh | Yongmin Shin | Junmo Park | A.-Yeong Kim | Su-Jeong Choi | Hyun-Je Song | Seong-Bae Park | Se-Young Park

doi dblp
Experimaestro and Datamaestro: Experiment and Dataset Managers (for IR)
Benjamin Piwowarski

doi dblp
QuAChIE: Question Answering based Chinese Information Extraction System
Dongyu Ru | Zhenghui Wang | Lin Qiu | Hao Zhou | Lei Li | Weinan Zhang | Yong Yu

doi dblp
Vis-Trec: A System for the In-depth Analysis of trec_eval Results
Mahtab Tamannaee | Negar Arabzadeh | Ebrahim Bagheri

doi dblp
JASSjr: The Minimalistic BM25 Search Engine for Teaching and Learning Information Retrieval
Andrew Trotman | Kat Lilly

doi dblp
ServiceGroup: A Human-Machine Cooperation Solution for Group Chat Customer Service
Minghui Yang | Hengbin Cui | Shaosheng Cao | Yafang Wang | Xiaolong Li

doi dblp
Macaw: An Extensible Conversational Information Seeking Platform
Hamed Zamani | Nick Craswell

doi dblp
REL: An Entity Linker Standing on the Shoulders of Giants
Johannes M. van Hulst | Faegheh Hasibi | Koen Dercksen | Krisztian Balog | Arjen P. de Vries

doi dblp
GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation
Wentian Bao | Hong Wen | Sha Li | Xiao-Yang Liu | Quan Lin | Keping Yang

doi dblp
A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users
Ye Bi | Liqiang Song | Mengqiu Yao | Zhenyu Wu | Jianming Wang | Jing Xiao

doi dblp
Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments
Dawei Cheng | Fangzhou Yang | Xiaoyang Wang | Ying Zhang | Liqing Zhang

doi dblp
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Yufei Feng | Binbin Hu | Fuyu Lv | Qingwen Liu | Zhiqiang Zhang | Wenwu Ou

doi dblp
Be Aware of the Hot Zone: A Warning System of Hazard Area Prediction to Intervene Novel Coronavirus COVID-19 Outbreak
Zhenxin Fu | Yu Wu | Hailei Zhang | Yichuan Hu | Dongyan Zhao | Rui Yan

doi dblp
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
Dehong Gao | Linbo Jin | Ben Chen | Minghui Qiu | Peng Li | Yi Wei | Yi Hu | Hao Wang

doi dblp
Understanding Echo Chambers in E-commerce Recommender Systems
Yingqiang Ge | Shuya Zhao | Honglu Zhou | Changhua Pei | Fei Sun | Wenwu Ou | Yongfeng Zhang

doi dblp
Efficient and Effective Query Auto-Completion
Simon Gog | Giulio Ermanno Pibiri | Rossano Venturini

doi dblp
Efficient Image Gallery Representations at Scale Through Multi-Task Learning
Benjamin Gutelman | Pavel Levin

doi dblp
A Counterfactual Framework for Seller-Side A/B Testing on Marketplaces
Viet Ha-Thuc | Avishek Dutta | Ren Mao | Matthew Wood | Yunli Liu

doi dblp
Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise
Guoxiu He | Zhe Gao | Zhuoren Jiang | Yangyang Kang | Changlong Sun | Xiaozhong Liu | Wei Lu

doi dblp
Automated Embedding Size Search in Deep Recommender Systems
Haochen Liu | Xiangyu Zhao | Chong Wang | Xiaobing Liu | Jiliang Tang

doi dblp
Network On Network for Tabular Data Classification in Real-world Applications
Yuanfei Luo | Hao Zhou | Wei-Wei Tu | Yuqiang Chen | Wenyuan Dai | Qiang Yang

doi dblp
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
Kelong Mao | Xi Xiao | Jieming Zhu | Biao Lu | Ruiming Tang | Xiuqiang He

doi dblp
Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment
Haojie Pan | Rongqin Yang | Xin Zhou | Rui Wang | Deng Cai | Xiaozhong Liu

doi dblp
User Behavior Retrieval for Click-Through Rate Prediction
Jiarui Qin | Weinan Zhang | Xin Wu | Jiarui Jin | Yuchen Fang | Yong Yu

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Identifying Tasks from Mobile App Usage Patterns
Yuan Tian | Ke Zhou | Mounia Lalmas | Dan Pelleg

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Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models
Mengxi Wei | Yifan He | Qiong Zhang

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Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction
Hong Wen | Jing Zhang | Yuan Wang | Fuyu Lv | Wentian Bao | Quan Lin | Keping Yang

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How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace
Liang Wu | Mihajlo Grbovic

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Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Lianghao Xia | Chao Huang | Yong Xu | Peng Dai | Bo Zhang | Liefeng Bo

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Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning
Han Zhang | Songlin Wang | Kang Zhang | Zhiling Tang | Yunjiang Jiang | Yun Xiao | Weipeng Yan | Wenyun Yang

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Searching the Web for Cross-lingual Parallel Data
Ahmed El-Kishky | Philipp Koehn | Holger Schwenk

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Recent Advances in Conversational Information Retrieval
Jianfeng Gao | Chenyan Xiong | Paul Bennett

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Conversational Recommendation: Formulation, Methods, and Evaluation
Wenqiang Lei | Xiangnan He | Maarten de Rijke | Tat-Seng Chua

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Reciprocal Recommendation: Matching Users with the Right Users
Iván Palomares

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Question Answering over Curated and Open Web Sources
Rishiraj Saha Roy | Avishek Anand

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Tutorial on Task-Based Search and Assistance
Chirag Shah | Ryen W. White

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Modeling User Behavior for Vertical Search: Images, Apps and Products
Xiaohui Xie | Jiaxin Mao | Yiqun Liu | Maarten de Rijke

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Interactive Information Retrieval: Models, Algorithms, and Evaluation
ChengXiang Zhai

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AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems
Hongshen Chen | Zhaochun Ren | Pengjie Ren | Dawei Yin | Xiaodong He

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FinIR 2020: The First Workshop on Information Retrieval in Finance
Fuli Feng | Cheng Luo | Xiangnan He | Yiqun Liu | Tat-Seng Chua

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BIRDS - Bridging the Gap between Information Science, Information Retrieval and Data Science
Ingo Frommholz | Haiming Liu | Massimo Melucci

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ECOM'20: The SIGIR 2020 Workshop on eCommerce
Dietmar Jannach | Surya Kallumadi | Tracy Holloway King | Weihua Luo | Shervin Malmasi

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Deep Natural Language Processing for Search and Recommendation
Bo Long | Jieping Ye | Zang Li | Huiji Gao | Sandeep Kumar Jha

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Legal Intelligence: Algorithmic, Data, and Social Challenges
Changlong Sun | Yating Zhang | Xiaozhong Liu | Fei Wu

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Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances
Weinan Zhang | Xiangyu Zhao | Li Zhao | Dawei Yin | Grace Hui Yang | Alex Beutel

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EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search
Yongfeng Zhang | Xu Chen | Yi Zhang | Min Zhang | Chirag Shah

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Language Agnostic Hate Speech Detection
Aymé Arango

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Legal Data Analytics: Developing Assistive Tools for Legal Practitioners
Paheli Bhattacharya

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Multi-Document Answer Generation for Non-Factoid Questions
Valeriya Baranova-Bolotova

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Spatio-temporal Conditioned Language Models
Juglar Diaz

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Explaining Recommendations in Heterogeneous Networks
Azin Ghazimatin

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When the Human is in the Loop: Cost, Effort and Behavior
Lei Han

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End-to-End Contextualized Document Indexing and Retrieval with Neural Networks
Sebastian Hofstätter

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Incorporating User Feedback in Conversational Question Answering over Heterogeneous Web Sources
Magdalena Kaiser

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User Modeling Towards Stateful Learning to Rank
Yanpeng Lin

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Enhancing Graph Neural Networks for Recommender Systems
Siwei Liu

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Towards Legal Case Retrieval
Yunqiu Shao

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Biomedical Information Retrieval incorporating Knowledge Graph for Explainable Precision Medicine
Zuoxi Yang

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Towards Evaluating Veracity of Textual Statements on the Web
Qiang Zhang

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Bridging East and West: An Integration of TCM and Western Medicine in Medical Text Mining
Runjie Zhu


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Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020) co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China (online only), July 30th, - 2020

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Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020) co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China (online only), July 30th, - 2020

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BIRDS 2020 - Bridging the Gap between Information Science, Information Retrieval and Data Science: Preface

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Fairness and Transparency in Ranking
Carlos Castillo

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Challenges and Opportunities for IS, IR & DS in an Era of Information Ubiquity
Nicholas J. Belkin

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Explaining Explanation Methods
Riccardo Guidotti

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Understanding Faceted Search from Information Retrieval, Information Science and Data Science Perspectives
Xi Niu

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Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
Amit Kumar Jaiswal | Haiming Liu | Ingo Frommholz

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Towards a Framework for Harm Prevention in Web Search
Steven Zimmerman | Stefan Herzog | Jon Chamberlain | David Elsweiler | Udo Kruschwitz

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Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated Problems
Kritika Agrawal | Vikram Pudi

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Exploring the Impact on User Information Search Behaviour of Affective Design: An Eye-Tracking Study
Sehrish Sher Khan | Haiming Liu

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Extracting and Representing Causal Knowledge of Health Condition
Hong Qing Yu

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BM25-FIC: Information Content-based Field Weighting for BM25F
Tuomas Ketola | Thomas Roelleke

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Content-based Image Search System Design for Capturing User Preferences during Query Formulation
Mahmoud Artemi | Haiming Liu

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Some Reflections on the Use of Structural Equation Modeling for Investigating the Causal Relationships that Affect Search Engine Results
Massimo Melucci