SIGIR - RankMe

383 papers

Year	Title / Authors
2020	3D Self-Attention for Unsupervised Video Quantization. Jingkuan Song, Ruimin Lang, Xiaosu Zhu, Xing Xu, Lianli Gao, Heng Tao Shen
2020	A Case Study of Multi-class Classification with Diversified Precision Recall Requirements for Query Disambiguation. Yingrui Yang, Christopher Miller, Peng Jiang, Azadeh Moghtaderi
2020	A Counterfactual Framework for Seller-Side A/B Testing on Marketplaces. Viet Ha-Thuc, Avishek Dutta, Ren Mao, Matthew Wood, Yunli Liu
2020	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
2020	A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2020	A Generic Network Compression Framework for Sequential Recommender Systems. Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, Duo Liu
2020	A Heterogeneous Graph Neural Model for Cold-start Recommendation. Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng
2020	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
2020	A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention. Deqing Yang, Zengchun Song, Lvxin Xue, Yanghua Xiao
2020	A Lightweight Environment for Learning Experimental IR Research Practices. Zeynep Akkalyoncu Yilmaz, Charles L. A. Clarke, Jimmy Lin
2020	A Multilingual Approach for Unsupervised Search Task Identification. Luis Lugo, José G. Moreno, Gilles Hubert
2020	A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension. Jie Cai, Zhengzhou Zhu, Ping Nie, Qian Liu
2020	A Quantum Interference Inspired Neural Matching Model for Ad-hoc Retrieval. Yongyu Jiang, Peng Zhang, Hui Gao, Dawei Song
2020	A Re-visit of the Popularity Baseline in Recommender Systems. Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li
2020	A Reinforcement Learning Framework for Relevance Feedback. Ali Montazeralghaem, Hamed Zamani, James Allan
2020	A Study of Methods for the Generation of Domain-Aware Word Embeddings. Dominic Seyler, ChengXiang Zhai
2020	A Study of Neural Matching Models for Cross-lingual IR. Puxuan Yu, James Allan
2020	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
2020	A Transformer-based Embedding Model for Personalized Product Search. Keping Bi, Qingyao Ai, W. Bruce Croft
2020	A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss. Hou Pong Chan, Wang Chen, Irwin King
2020	ADORE: Aspect Dependent Online REview Labeling for Review Generation. Parisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee
2020	AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He
2020	APS: An Active PubMed Search System for Technology Assisted Reviews. Dan Li, Panagiotis Zafeiriadis, Evangelos Kanoulas
2020	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
2020	ASiNE: Adversarial Signed Network Embedding. Yeon-Chang Lee, Nayoun Seo, Kyungsik Han, Sang-Wook Kim
2020	ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou
2020	Accelerated Convergence for Counterfactual Learning to Rank. Rolf Jagerman, Maarten de Rijke
2020	Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. Graham McDonald, Craig Macdonald, Iadh Ounis
2020	Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
2020	Agent Dialogue: A Platform for Conversational Information Seeking Experimentation. Adam Czyzewski, Jeffrey Dalton, Anton Leuski
2020	Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson
2020	Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng
2020	An Analysis of BERT in Document Ranking. Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
2020	An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke
2020	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
2020	An Intent-guided Collaborative Machine for Session-based Recommendation. Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke
2020	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
2020	Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling. Wenxuan Zhang, Yang Deng, Wai Lam
2020	ArTest: The First Test Collection for Arabic Web Search with Relevance Rationales. Maram Hasanain, Yassmine Barkallah, Reem Suwaileh, Mücahid Kutlu, Tamer Elsayed
2020	Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback. Yuta Saito
2020	Attending to Inter-sentential Features in Neural Text Classification. Billy Chiu, Sunil Kumar Sahu, Neha Sengupta, Derek Thomas, Mohammady Mahdy
2020	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
2020	Auto-annotation for Voice-enabled Entertainment Systems. Wenyan Li, Ferhan Türe
2020	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
2020	Automated Embedding Size Search in Deep Recommender Systems. Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang
2020	Automatic Generation of Topic Labels. Areej Alokaili, Nikolaos Aletras, Mark Stevenson
2020	BIRDS - Bridging the Gap between Information Science, Information Retrieval and Data Science. Ingo Frommholz, Haiming Liu, Massimo Melucci
2020	BRENDA: Browser Extension for Fake News Detection. Bjarte Botnevik, Eirik Sakariassen, Vinay Setty
2020	Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval. Limin Chen, Zhiwen Tang, Grace Hui Yang
2020	Bayesian Inferential Risk Evaluation On Multiple IR Systems. Rodger Benham, Ben Carterette, J. Shane Culpepper, Alistair Moffat
2020	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
2020	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
2020	BiANE: Bipartite Attributed Network Embedding. Wentao Huang, Yuchen Li, Yuan Fang, Ju Fan, Hongxia Yang
2020	Biomedical Information Retrieval incorporating Knowledge Graph for Explainable Precision Medicine. Zuoxi Yang
2020	Bridging East and West: An Integration of TCM and Western Medicine in Medical Text Mining. Runjie Zhu
2020	Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen
2020	Bundle Recommendation with Graph Convolutional Networks. Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
2020	CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun
2020	CAsT-19: A Dataset for Conversational Information Seeking. Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan
2020	CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems. Ze Wang, Guangyan Lin, Huobin Tan, Qinghong Chen, Xiyang Liu
2020	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
2020	CapableOf Reasoning: A Step Towards Commonsense Oracle. Jingping Liu, Yanghua Xiao, Ao Wang, Liang He, Bin Shao
2020	Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. Ali Vardasbi, Maarten de Rijke, Ilya Markov
2020	Cascade or Recency: Constructing Better Evaluation Metrics for Session Search. Fan Zhang, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Min Zhang, Shaoping Ma
2020	Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng
2020	Chinese Document Classification with Bi-directional Convolutional Language Model. Bin Liu, Guosheng Yin
2020	Choppy: Cut Transformer for Ranked List Truncation. Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins
2020	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
2020	ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. Omar Khattab, Matei Zaharia
2020	Combining Contextualized and Non-contextualized Query Translations to Improve CLIR. Suraj Nair, Petra Galuscáková, Douglas W. Oard
2020	Content-aware Neural Hashing for Cold-start Recommendation. Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
2020	Context-Aware Term Weighting For First Stage Passage Retrieval. Zhuyun Dai, Jamie Callan
2020	Contextual Re-Ranking with Behavior Aware Transformers. Chen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul N. Bennett
2020	Controlling Fairness and Bias in Dynamic Learning-to-Rank. Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims
2020	Conversational Question Answering over Passages by Leveraging Word Proximity Networks. Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
2020	Conversational Recommendation: Formulation, Methods, and Evaluation. Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
2020	Convolutional Embedding for Edit Distance. Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng
2020	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
2020	Coopetition in IR Research. Ellen M. Voorhees
2020	Copula Guided Neural Topic Modelling for Short Texts. Lihui Lin, Hongyu Jiang, Yanghui Rao
2020	Correlated Features Synthesis and Alignment for Zero-shot Cross-modal Retrieval. Xing Xu, Kaiyi Lin, Huimin Lu, Lianli Gao, Heng Tao Shen
2020	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
2020	CrossBERT: A Triplet Neural Architecture for Ranking Entity Properties. Jarana Manotumruksa, Jeff Dalton, Edgar Meij, Emine Yilmaz
2020	Crowdsourced Text Sequence Aggregation based on Hybrid Reliability and Representation. Jiyi Li
2020	DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang
2020	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
2020	DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury
2020	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
2020	DPLCF: Differentially Private Local Collaborative Filtering. Chen Gao, Chao Huang, Dongsheng Lin, Depeng Jin, Yong Li
2020	DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. Jiongnan Liu, Zhicheng Dou, Xiaojie Wang, Shuqi Lu, Ji-Rong Wen
2020	Data Poisoning Attacks against Differentially Private Recommender Systems. Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan
2020	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
2020	Deep Critiquing for VAE-based Recommender Systems. Kai Luo, Hojin Yang, Ga Wu, Scott Sanner
2020	Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction. Weinan Xu, Hengxu He, Minshi Tan, Yunming Li, Jun Lang, Dongbai Guo
2020	Deep Job Understanding at LinkedIn. Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He
2020	Deep Natural Language Processing for Search and Recommendation. Bo Long, Jieping Ye, Zang Li, Huiji Gao, Sandeep Kumar Jha
2020	Deep Neural Matching Models for Graph Retrieval. Kunal Goyal, Utkarsh Gupta, Abir De, Soumen Chakrabarti
2020	Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel
2020	Degree-Aware Alignment for Entities in Tail. Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan
2020	Detecting Concept Drift In Medical Triage. Hamish Huggard, Yun Sing Koh, Gillian Dobbie, Edmond Zhang
2020	Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning. Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu
2020	Differentially Private Knowledge Distillation for Mobile Analytics. Lingjuan Lyu, Chi-Hua Chen
2020	Disentangled Graph Collaborative Filtering. Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua
2020	Distilling Knowledge for Fast Retrieval-based Chat-bots. Amir Vakili Tahami, Kamyar Ghajar, Azadeh Shakery
2020	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
2020	Do Neural Ranking Models Intensify Gender Bias? Navid Rekabsaz, Markus Schedl
2020	Domain Adaptation with Reconstruction for Disaster Tweet Classification. Xukun Li, Doina Caragea
2020	Domain-Adaptive Neural Automated Essay Scoring. Yue Cao, Hanqi Jin, Xiaojun Wan, Zhiwei Yu
2020	Dual Learning Algorithm for Delayed Conversions. Yuta Saito, Gota Morishita, Shota Yasui
2020	Dual Sequential Network for Temporal Sets Prediction. Leilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv
2020	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
2020	Dynamic Clustering with Discrete Time Event Prediction. Karan Aggarwal, Georgios Theocharous, Anup B. Rao
2020	Dynamic Link Prediction by Integrating Node Vector Evolution and Local Neighborhood Representation. Xiaorong Hao, Tao Lian, Li Wang
2020	EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search. Yongfeng Zhang, Xu Chen, Yi Zhang, Min Zhang, Chirag Shah
2020	ECOM'20: The SIGIR 2020 Workshop on eCommerce. Dietmar Jannach, Surya Kallumadi, Tracy Holloway King, Weihua Luo, Shervin Malmasi
2020	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
2020	Efficiency Implications of Term Weighting for Passage Retrieval. Joel M. Mackenzie, Zhuyun Dai, Luke Gallagher, Jamie Callan
2020	Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
2020	Efficient Graph Query Processing over Geo-Distributed Datacenters. Ye Yuan, Delong Ma, Zhenyu Wen, Yuliang Ma, Guoren Wang, Lei Chen
2020	Efficient Image Gallery Representations at Scale Through Multi-Task Learning. Benjamin Gutelman, Pavel Levin
2020	Efficient and Effective Query Auto-Completion. Simon Gog, Giulio Ermanno Pibiri, Rossano Venturini
2020	Employing Personal Word Embeddings for Personalized Search. Jing Yao, Zhicheng Dou, Ji-Rong Wen
2020	Encoding History with Context-aware Representation Learning for Personalized Search. Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
2020	End-to-End Contextualized Document Indexing and Retrieval with Neural Networks. Sebastian Hofstätter
2020	Enhancing Graph Neural Networks for Recommender Systems. Siwei Liu
2020	Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs. Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto
2020	Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua
2020	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
2020	Evaluation of Cross Domain Text Summarization. Liam Scanlon, Shiwei Zhang, Xiuzhen Zhang, Mark Sanderson
2020	Evidence Weighted Tree Ensembles for Text Classification. Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang
2020	Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior. Yongzhen Wang, Jian Wang, Heng Huang, Hongsong Li, Xiaozhong Liu
2020	Expansion via Prediction of Importance with Contextualization. Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
2020	Experimaestro and Datamaestro: Experiment and Dataset Managers (for IR). Benjamin Piwowarski
2020	Explaining Recommendations in Heterogeneous Networks. Azin Ghazimatin
2020	Expressions of Style in Information Seeking Conversation with an Agent. Paul Thomas, Daniel McDuff, Mary Czerwinski, Nick Craswell
2020	Extractive Snippet Generation for Arguments. Milad Alshomary, Nick Düsterhus, Henning Wachsmuth
2020	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
2020	Factuality Checking in News Headlines with Eye Tracking. Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Birger Larsen, Stephen Alstrup, Christina Lioma
2020	Fair Classification with Counterfactual Learning. Maryam Tavakol
2020	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
2020	Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie
2020	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
2020	Feature Transformation for Neural Ranking Models. Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2020	Few-Shot Generative Conversational Query Rewriting. Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu
2020	FigExplorer: A System for Retrieval and Exploration of Figures from Collections of Research Articles. Saar Kuzi, ChengXiang Zhai, Yin Tian, Haichuan Tang
2020	FinIR 2020: The First Workshop on Information Retrieval in Finance. Fuli Feng, Cheng Luo, Xiangnan He, Yiqun Liu, Tat-Seng Chua
2020	Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval. Omar Khattab, Mohammad Hammoud, Tamer Elsayed
2020	From Information to Assistance. Elizabeth F. Churchill
2020	G2T: Generating Fluent Descriptions for Knowledge Graph. Yunzhou Shi, Zhiling Luo, Pengcheng Zhu, Feng Ji, Wei Zhou, Haiqing Chen, Yujiu Yang
2020	GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen
2020	GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation. Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang
2020	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
2020	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
2020	Generating Images Instead of Retrieving Them: Relevance Feedback on Generative Adversarial Networks. Antti Ukkonen, Pyry Joona, Tuukka Ruotsalo
2020	Generative Attribute Manipulation Scheme for Flexible Fashion Search. Xin Yang, Xuemeng Song, Xianjing Han, Haokun Wen, Jie Nie, Liqiang Nie
2020	Global Context Enhanced Graph Neural Networks for Session-based Recommendation. Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xianling Mao, Minghui Qiu
2020	GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. Jianfeng Liu, Feiyang Pan, Ling Luo
2020	Good Evaluation Measures based on Document Preferences. Tetsuya Sakai, Zhaohao Zeng
2020	Graph Regularization for Multi-lingual Topic Models. Arnav Kumar Jain, Gundeep Arora, Rahul Agrawal
2020	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
2020	GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram
2020	Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search. Helia Hashemi, Hamed Zamani, W. Bruce Croft
2020	HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation. Shanshan Feng, Lucas Vinh Tran, Gao Cong, Lisi Chen, Jing Li, Fan Li
2020	Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match. Vikas Yadav, Steven Bethard, Mihai Surdeanu
2020	Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity. Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh
2020	Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua
2020	High-Precision Extraction of Emerging Concepts from Scientific Literature. Daniel King, Doug Downey, Daniel S. Weld
2020	How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace. Liang Wu, Mihajlo Grbovic
2020	How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models. Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra
2020	How Deep Learning Works for Information Retrieval. Dacheng Tao
2020	How UMass-FSD Inadvertently Leverages Temporal Bias. Dominik Wurzer, Yumeng Qin
2020	How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. Noveen Sachdeva, Julian J. McAuley
2020	How to Measure the Reproducibility of System-oriented IR Experiments. Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff
2020	How to Retrain Recommender System?: A Sequential Meta-Learning Method. Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang
2020	Humor Detection in Product Question Answering Systems. Yftah Ziser, Elad Kravi, David Carmel
2020	Identifying Tasks from Mobile App Usage Patterns. Yuan Tian, Ke Zhou, Mounia Lalmas, Dan Pelleg
2020	Immersive Search: Using Virtual Reality to Examine How a Third Dimension Impacts the Searching Process. Austin R. Ward, Robert G. Capra
2020	Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation. Junyu Lu, Xiancong Ren, Yazhou Ren, Ao Liu, Zenglin Xu
2020	Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection. Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan
2020	Improving Neural Chinese Word Segmentation with Lexicon-enhanced Adaptive Attention. Xiaoyan Zhao, Min Yang, Qiang Qu, Yang Sun
2020	Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation. Jianming Zheng, Fei Cai, Honghui Chen
2020	Incorporating User Feedback in Conversational Question Answering over Heterogeneous Web Sources. Magdalena Kaiser
2020	Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation. Wenjing Meng, Deqing Yang, Yanghua Xiao
2020	Influence Function for Unbiased Recommendation. Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong
2020	Interactive Entity Linking Using Entity-Word Representations. Pei-Chi Lo, Ee-Peng Lim
2020	Interactive Information Retrieval: Models, Algorithms, and Evaluation. ChengXiang Zhai
2020	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
2020	Investigating Reading Behavior in Fine-grained Relevance Judgment. Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
2020	Investigating Reference Dependence Effects on User Search Interaction and Satisfaction: A Behavioral Economics Perspective. Jiqun Liu, Fangyuan Han
2020	Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
2020	JASSjr: The Minimalistic BM25 Search Engine for Teaching and Learning Information Retrieval. Andrew Trotman, Kat Lilly
2020	JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. Xu Chen, Changying Du, Xiuqiang He, Jun Wang
2020	Joint Aspect-Sentiment Analysis with Minimal User Guidance. Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han
2020	Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang
2020	Joint Training Capsule Network for Cold Start Recommendation. Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu
2020	Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval. Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying
2020	JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search. Ali Ahmadvand, Surya Kallumadi, Faizan Javed, Eugene Agichtein
2020	Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation. Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma
2020	KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy X. Huang
2020	KLOOS: KL Divergence-based Out-of-Scope Intent Detection in Human-to-Machine Conversations. Eyup Halit Yilmaz, Cagri Toraman
2020	Knowledge Enhanced Personalized Search. Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen
2020	Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments. Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang
2020	L2R²: Leveraging Ranking for Abductive Reasoning. Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng
2020	Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng
2020	Language Agnostic Hate Speech Detection. Aymé Arango
2020	Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment. Haojie Pan, Rongqin Yang, Xin Zhou, Rui Wang, Deng Cai, Xiaozhong Liu
2020	Large-scale Image Retrieval with Sparse Binary Projections. Changyi Ma, Chonglin Gu, Wenye Li, Shuguang Cui
2020	Large-scale Multi-modal Search and QA at Alibaba. Rong Jin
2020	Learning Colour Representations of Search Queries. Paridhi Maheshwari, Manoj Ghuhan, Vishwa Vinay
2020	Learning Discriminative Joint Embeddings for Efficient Face and Voice Association. Rui Wang, Xin Liu, Yiu-ming Cheung, Kai Cheng, Nannan Wang, Wentao Fan
2020	Learning Efficient Representations of Mouse Movements to Predict User Attention. Ioannis Arapakis, Luis A. Leiva
2020	Learning Personalized Risk Preferences for Recommendation. Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
2020	Learning Term Discrimination. Jibril Frej, Philippe Mulhem, Didier Schwab, Jean-Pierre Chevallet
2020	Learning to Ask Screening Questions for Job Postings. Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He
2020	Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
2020	Learning with Weak Supervision for Email Intent Detection. Kai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan T. Dumais
2020	Legal Data Analytics: Developing Assistive Tools for Legal Practitioners. Paheli Bhattacharya
2020	Legal Intelligence: Algorithmic, Data, and Social Challenges. Changlong Sun, Yating Zhang, Xiaozhong Liu, Fei Wu
2020	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
2020	Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie
2020	Leveraging Social Media for Medical Text Simplification. Nikhil Pattisapu, Nishant Prabhu, Smriti Bhati, Vasudeva Varma
2020	Leveraging Transitions of Emotions for Sarcasm Detection. Ameeta Agrawal, Aijun An, Manos Papagelis
2020	LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yong-Dong Zhang, Meng Wang
2020	Local Self-Attention over Long Text for Efficient Document Retrieval. Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury
2020	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
2020	MHM: Multi-modal Clinical Data based Hierarchical Multi-label Diagnosis Prediction. Zhi Qiao, Zhen Zhang, Xian Wu, Shen Ge, Wei Fan
2020	MRIF: Multi-resolution Interest Fusion for Recommendation. Shihao Li, Dekun Yang, Bufeng Zhang
2020	MVIN: Learning Multiview Items for Recommendation. Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, Lun-Wei Ku
2020	MVL: Multi-View Learning for News Recommendation. T. Y. S. S. Santosh, Avirup Saha, Niloy Ganguly
2020	MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations. Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan
2020	Macaw: An Extensible Conversational Information Seeking Platform. Hamed Zamani, Nick Craswell
2020	Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma
2020	MarkedBERT: Integrating Traditional IR Cues in Pre-trained Language Models for Passage Retrieval. Lila Boualili, José G. Moreno, Mohand Boughanem
2020	Match²: 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
2020	Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. Krisztian Balog, Filip Radlinski
2020	Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. Ziwei Zhu, Jianling Wang, James Caverlee
2020	Meta Matrix Factorization for Federated Rating Predictions. Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng
2020	MetaGen: An academic Meta-review Generation system. Chaitanya Bhatia, Tribikram Pradhan, Sukomal Pal
2020	Metadata Matters in User Engagement Prediction. Xiang Chen, Saayan Mitra, Viswanathan Swaminathan
2020	Minimally Supervised Categorization of Text with Metadata. Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
2020	Modeling Personalized Item Frequency Information for Next-basket Recommendation. Haoji Hu, Xiangnan He, Jinyang Gao, Zhi-Li Zhang
2020	Modeling User Behavior for Vertical Search: Images, Apps and Products. Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke
2020	Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics. Fan Zhang, Jiaxin Mao, Yiqun Liu, Xiaohui Xie, Weizhi Ma, Min Zhang, Shaoping Ma
2020	Multi-Branch Convolutional Network for Context-Aware Recommendation. Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020	Multi-Document Answer Generation for Non-Factoid Questions. Valeriya Baranova-Bolotova
2020	Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension. Ao Liu, Shuai Yuan, Chenbin Zhang, Congjian Luo, Yaqing Liao, Kun Bai, Zenglin Xu
2020	Multi-Modal Summary Generation using Multi-Objective Optimization. Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammad Hasanuzzaman
2020	Multi-behavior Recommendation with Graph Convolutional Networks. Bowen Jin, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
2020	Multi-grouping Robust Fair Ranking. Thibaut Thonet, Jean-Michel Renders
2020	Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. Min Yang, Ying Shen, Xiaojun Chen, Chengming Li
2020	Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
2020	Neighbor Interaction Aware Graph Convolution Networks for Recommendation. Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
2020	Network On Network for Tabular Data Classification in Real-world Applications. Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2020	Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han
2020	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
2020	Neural Interactive Collaborative Filtering. Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin
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2020	Neural Unified Review Recommendation with Cross Attention. Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao
2020	Next-item Recommendation with Sequential Hypergraphs. Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee
2020	Nonintrusive-Sensing and Reinforcement-Learning Based Adaptive Personalized Music Recommendation. Daocheng Hong, Yang Li, Qiwen Dong
2020	Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval. Zhan Yang, Jun Long, Lei Zhu, Wenti Huang
2020	Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
2020	On Presuppositions of Machine Learning: A Meta Theory. Zongben Xu
2020	On Understanding Data Worker Interaction Behaviors. Lei Han, Tianwa Chen, Gianluca Demartini, Marta Indulska, Shazia Sadiq
2020	On the Reliability of Test Collections for Evaluating Systems of Different Types. Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos
2020	Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval. Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, Yumin Tian
2020	Open-Retrieval Conversational Question Answering. Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer
2020	Operationalizing the Legal Principle of Data Minimization for Personalization. Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck
2020	Pairwise View Weighted Graph Network for View-based 3D Model Retrieval. Zan Gao, Yin-Ming Li, Weili Guan, Weizhi Nie, Zhiyong Cheng, Anan Liu
2020	Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
2020	Personalized Query Suggestions. Jianling Zhong, Weiwei Guo, Huiji Gao, Bo Long
2020	Policy-Aware Unbiased Learning to Rank for Top-k Rankings. Harrie Oosterhuis, Maarten de Rijke
2020	Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants. Christophe Van Gysel, Manos Tsagkias, Ernest Pusateri, Ilya Oparin
2020	Predicting Perceptual Speed from Search Behaviour. Olivia Foulds, Alessandro Suglia, Leif Azzopardi, Martin Halvey
2020	Predicting Session Length for Product Search on E-commerce Platform. Shashank Gupta, Subhadeep Maji
2020	Preference-based Evaluation Metrics for Web Image Search. Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Haitian Chen, Min Zhang, Shaoping Ma
2020	Proactive Suggestion Generation: Data and Methods for Stepwise Task Assistance. Elnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White
2020	Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020 Jimmy X. Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu
2020	Product Bundle Identification using Semi-Supervised Learning. Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira
2020	Proof by Experimentation? Towards Better IR Research. Norbert Fuhr
2020	Proposal and Comparison of Health Specific Features for the Automatic Assessment of Readability. Hélder Antunes, Carla Teixeira Lopes
2020	QuAChIE: Question Answering based Chinese Information Extraction System. Dongyu Ru, Zhenghui Wang, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu
2020	Query Classification with Multi-objective Backoff Optimization. Hang Yu, Lester Litchfield
2020	Query Reformulation in E-Commerce Search. Sharon Hirsch, Ido Guy, Alexander Nus, Arnon Dagan, Oren Kurland
2020	Query Resolution for Conversational Search with Limited Supervision. Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke
2020	Query Rewriting for Voice Shopping Null Queries. Iftah Gamzu, Marina Haikin, Nissim Halabi
2020	Query by Example for Cross-Lingual Event Retrieval. Sheikh Muhammad Sarwar, James Allan
2020	Query-level Early Exit for Additive Learning-to-Rank Ensembles. Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
2020	Query/Task Satisfaction and Grid-based Evaluation Metrics Under Different Image Search Intents. Kosetsu Tsukuda, Masataka Goto
2020	Question Answering over Curated and Open Web Sources. Rishiraj Saha Roy, Avishek Anand
2020	REL: An Entity Linker Standing on the Shoulders of Giants. Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen, Krisztian Balog, Arjen P. de Vries
2020	Ranking-Incentivized Quality Preserving Content Modification. Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber
2020	Re-ranking Answer Selection with Similarity Aggregation. Dong Chen, Shaoliang Peng, Kenli Li, Ying Xu, Jinling Zhang, Xiaolan Xie
2020	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
2020	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
2020	Recent Advances in Conversational Information Retrieval. Jianfeng Gao, Chenyan Xiong, Paul Bennett
2020	Receptor: A Platform for Exploring Latent Relations in Sensitive Documents. Hitarth Narvala, Graham McDonald, Iadh Ounis
2020	Recipe Retrieval with Visual Query of Ingredients. Yen-Chieh Lien, Hamed Zamani, W. Bruce Croft
2020	Reciprocal Recommendation: Matching Users with the Right Users. Iván Palomares
2020	Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation. Ziwei Zhu, Shahin Sefati, Parsa Saadatpanah, James Caverlee
2020	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
2020	Regional Relation Modeling for Visual Place Recognition. Yingying Zhu, Biao Li, Jiong Wang, Zhou Zhao
2020	Reinforcement Learning based Recommendation with Graph Convolutional Q-network. Yu Lei, Hongbin Pei, Hanqi Yan, Wenjie Li
2020	Reinforcement Learning to Rank with Pairwise Policy Gradient. Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen
2020	Relevance Models for Multi-Contextual Appropriateness in Point-of-Interest Recommendation. Anirban Chakraborty, Debasis Ganguly, Owen Conlan
2020	Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback. Carlos Gemmell, Federico Rossetto, Jeffrey Dalton
2020	Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. Guilherme Ramos, Ludovico Boratto
2020	Reranking for Efficient Transformer-based Answer Selection. Yoshitomo Matsubara, Thuy Vu, Alessandro Moschitti
2020	Residual-Duet Network with Tree Dependency Representation for Chinese Question-Answering Sentiment Analysis. Guangyi Hu, Chongyang Shi, Shufeng Hao, Yu Bai
2020	Response Quality in Human-Chatbot Collaborative Systems. Jiepu Jiang, Naman Ahuja
2020	Rethinking Item Importance in Session-based Recommendation. Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke
2020	Retrieving Potential Causes from a Query Event. Suchana Datta, Debasis Ganguly, Dwaipayan Roy, Francesca Bonin, Charles Jochim, Mandar Mitra
2020	Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models. Mengxi Wei, Yifan He, Qiong Zhang
2020	SPot: A Tool for Identifying Operating Segments in Financial Tables. Zhiqiang Ma, Steven Pomerville, Mingyang Di, Armineh Nourbakhsh
2020	Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning. Wenhui Yu, Zheng Qin
2020	Sampling Bias Due to Near-Duplicates in Learning to Rank. Maik Fröbe, Janek Bevendorff, Jan Heinrich Reimer, Martin Potthast, Matthias Hagen
2020	Search Result Explanations Improve Efficiency and Trust. Jerome Ramos, Carsten Eickhoff
2020	Searching the Web for Cross-lingual Parallel Data. Ahmed El-Kishky, Philipp Koehn, Holger Schwenk
2020	Segmenting Search Query Logs by Learning to Detect Search Task Boundaries. Luis Lugo, José G. Moreno, Gilles Hubert
2020	Self-Supervised Reinforcement Learning for Recommender Systems. Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2020	Sentiment-guided Sequential Recommendation. Lin Zheng, Naicheng Guo, Weihao Chen, Jin Yu, Dazhi Jiang
2020	Sequential Recommendation with Self-Attentive Multi-Adversarial Network. Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
2020	Sequential-based Adversarial Optimisation for Personalised Top-N Item Recommendation. Jarana Manotumruksa, Emine Yilmaz
2020	ServiceGroup: A Human-Machine Cooperation Solution for Group Chat Customer Service. Minghui Yang, Hengbin Cui, Shaosheng Cao, Yafang Wang, Xiaolong Li
2020	Session-based Recommendation with Hierarchical Leaping Networks. Cheng Guo, Mengfei Zhang, Jinyun Fang, Jiaqi Jin, Mao Pan
2020	SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen
2020	Social Media User Geolocation via Hybrid Attention. Cheng Zheng, Jyun-Yu Jiang, Yichao Zhou, Sean D. Young, Wei Wang
2020	Soft Kernel-based Ranking on a Statistical Manifold. Xinshi Lin, Wai Lam
2020	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
2020	Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong
2020	Spatio-temporal Conditioned Language Models. Juglar Diaz
2020	Streaming Graph Neural Networks. Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin
2020	Studying Product Competition Using Representation Learning. Fanglin Chen, Xiao Liu, Davide Proserpio, Isamar Troncoso, Feiyu Xiong
2020	Studying Ranking-Incentivized Web Dynamics. Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland
2020	Studying Ransomware Attacks Using Web Search Logs. Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao
2020	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
2020	Summarizing and Exploring Tabular Data in Conversational Search. Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan
2020	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
2020	Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. Weidi Xu, Xingyi Cheng, Kunlong Chen, Taifeng Wang
2020	Systematic Review Automation Tools for End-to-End Query Formulation. Hang Li, Harrisen Scells, Guido Zuccon
2020	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
2020	TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
2020	TFNet: Multi-Semantic Feature Interaction for CTR Prediction. Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang
2020	Table Search Using a Deep Contextualized Language Model. Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison
2020	The Cortical Activity of Graded Relevance. Zuzana Pinkosova, William J. McGeown, Yashar Moshfeghi
2020	The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models. Procheta Sen, Debasis Ganguly, Manisha Verma, Gareth J. F. Jones
2020	The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation. Tobias Schnabel, Saleema Amershi, Paul N. Bennett, Peter Bailey, Thorsten Joachims
2020	The New TREC Track on Podcast Search and Summarization. Rosie Jones
2020	The Next Generation of Neural Networks. Geoffrey E. Hinton
2020	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
2020	Time Matters: Sequential Recommendation with Complex Temporal Information. Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin
2020	Topic Propagation in Conversational Search. Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
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2020	Towards Evaluating Veracity of Textual Statements on the Web. Qiang Zhang
2020	Towards Explainable Retrieval Models for Precision Medicine Literature Search. Jiaming Qu, Jaime Arguello, Yue Wang
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2020	Training Effective Neural CLIR by Bridging the Translation Gap. Hamed R. Bonab, Sheikh Muhammad Sarwar, James Allan
2020	Training Mixed-Objective Pointing Decoders for Block-Level Optimization in Search Recommendation. Harsh Kohli
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2020	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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2020	Tutorial on Task-Based Search and Assistance. Chirag Shah, Ryen W. White
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2020	Unsupervised Semantic Hashing with Pairwise Reconstruction. Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
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