| 2021 | "Did you buy it already?", Detecting Users Purchase-State From Their Product-Related Questions. Lital Kuchy, David Carmel, Thomas Huet, Elad Kravi |
| 2021 | 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021). Ralf Krestel, Hidir Aras, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci |
| 2021 | A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction. Ze Meng, Jinnian Zhang, Yumeng Li, Jiancheng Li, Tanchao Zhu, Lifeng Sun |
| 2021 | A Graph-Enhanced Click Model for Web Search. Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu |
| 2021 | A Guided Learning Approach for Item Recommendation via Surrogate Loss Learning. Ahmed Rashed, Josif Grabocka, Lars Schmidt-Thieme |
| 2021 | A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers. Ahmed Hamdi, Elvys Linhares Pontes, Emanuela Boros, Thi Tuyet Hai Nguyen, Günter Hackl, José G. Moreno, Antoine Doucet |
| 2021 | A Study of Defensive Methods to Protect Visual Recommendation Against Adversarial Manipulation of Images. Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Felice Antonio Merra |
| 2021 | A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models. Iurii Mokrii, Leonid Boytsov, Pavel Braslavski |
| 2021 | A Test Collection for Ad-hoc Dataset Retrieval. Makoto P. Kato, Hiroaki Ohshima, Ying-Hsang Liu, Hsin-liang Oliver Chen |
| 2021 | A Web-based Knowledge Hub for Exploration of Multiple Research Article Collections. Wei Emma Zhang, Miao Liu, Alan Pallath, Gokul Tamilventhan |
| 2021 | AI Based Information Retrieval System for Identifying Harmful Online Gaming Patterns. Deepanshi Seth, Rukma Talwadker, Tridib Mukherjee, Usama Chitapure, Nagesh Adiga, Avantika Gupta |
| 2021 | AMM: Attentive Multi-field Matching for News Recommendation. Qi Zhang, Qinglin Jia, Chuyuan Wang, Jingjie Li, Zhaowei Wang, Xiuqiang He |
| 2021 | APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization. Ali Ahmadvand, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein |
| 2021 | Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. Lihan Wang, Min Yang, Chengming Li, Ying Shen, Ruifeng Xu |
| 2021 | Accelerating Neural Architecture Search for Natural Language Processing with Knowledge Distillation and Earth Mover's Distance. Jianquan Li, Xiaokang Liu, Sheng Zhang, Min Yang, Ruifeng Xu, Fengqing Qin |
| 2021 | Adapted Graph Reasoning and Filtration for Description-Image Retrieval. Shiqian Chen, Zhiling Luo, Yingqi Gao, Wei Zhou, Chenliang Li, Haiqing Chen |
| 2021 | Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi |
| 2021 | Addressing Bias and Fairness in Search Systems. Ruoyuan Gao, Chirag Shah |
| 2021 | AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang |
| 2021 | Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade. Igor Vatolkin, Philipp Ginsel, Günter Rudolph |
| 2021 | Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie |
| 2021 | Affective Dependency Graph for Sarcasm Detection. Chenwei Lou, Bin Liang, Lin Gui, Yulan He, Yixue Dang, Ruifeng Xu |
| 2021 | AliMe Avatar: Multi-modal Content Production and Presentation for Live-streaming E-commerce. Feng-Lin Li, Zhongzhou Zhao, Qin Lu, Xuming Lin, Hehong Chen, Bo Chen, Liming Pu, Jiashuo Zhang, Fu Sun, Xikai Liu, Liqun Xie, Qi Huang, Ji Zhang, Haiqing Chen |
| 2021 | AliMe DA: A Data Augmentation Framework for Question Answering in Cold-start Scenarios. Guohai Xu, Yan Shao, Chenliang Li, Feng-Lin Li, Bin Bi, Ji Zhang, Haiqing Chen |
| 2021 | Allowing for The Grounded Use of Temporal Difference Learning in Large Ranking Models via Substate Updates. Daniel Cohen |
| 2021 | An ALBERT-based Similarity Measure for Mathematical Answer Retrieval. Anja Reusch, Maik Thiele, Wolfgang Lehner |
| 2021 | An Exploration of Tester-based Evaluation of User Simulators for Comparing Interactive Retrieval Systems. Sahiti Labhishetty, ChengXiang Zhai |
| 2021 | An Image is Worth a Thousand Terms? Analysis of Visual E-Commerce Search. Arnon Dagan, Ido Guy, Slava Novgorodov |
| 2021 | Answer Complex Questions: Path Ranker Is All You Need. Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Fan Yu, Zhicheng Dou, Zhao Cao, Lei Chen |
| 2021 | Answering Any-hop Open-domain Questions with Iterative Document Reranking. Yuyu Zhang, Ping Nie, Arun Ramamurthy, Le Song |
| 2021 | Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu |
| 2021 | AutoDebias: Learning to Debias for Recommendation. Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang |
| 2021 | AutoName: A Corpus-Based Set Naming Framework. Zhiqi Huang, Razieh Rahimi, Puxuan Yu, Jingbo Shang, James Allan |
| 2021 | Automated Graph Learning via Population Based Self-Tuning GCN. Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li |
| 2021 | Automatic Form Filling with Form-BERT. Gilad Fuchs, Haggai Roitman, Matan Mandelbrod |
| 2021 | B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng |
| 2021 | Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora. Mikhail Fain, Niall Twomey, Danushka Bollegala |
| 2021 | Bayesian Critiquing with Keyphrase Activation Vectors for VAE-based Recommender Systems. Hojin Yang, Tianshu Shen, Scott Sanner |
| 2021 | Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. Liang Pang, Qingyao Ai, Jun Xu |
| 2021 | Binary Neural Network Hashing for Image Retrieval. Wanqian Zhang, Dayan Wu, Yu Zhou, Bo Li, Weiping Wang, Dan Meng |
| 2021 | Booking.com Multi-Destination Trips Dataset. Dmitri Goldenberg, Pavel Levin |
| 2021 | Bootstrapping User and Item Representations for One-Class Collaborative Filtering. Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu |
| 2021 | Bridge the Gap: Industrial Data Pipeline oriented Recommendation Enhancement. Jie Dai |
| 2021 | CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning. Yigong Wang, Zhuoyi Wang, Yu Lin, Latifur Khan, Dingcheng Li |
| 2021 | CINES: Explore Citation Network and Event Sequences for Citation Forecasting. Fang He, Wang-Chien Lee, Tao-Yang Fu, Zhen Lei |
| 2021 | CSR 2021: The 1st International Workshop on Causality in Search and Recommendation. Yongfeng Zhang, Xu Chen, Yi Zhang, Xianjie Chen |
| 2021 | Category-aware Collaborative Sequential Recommendation. Renqin Cai, Jibang Wu, Aidan San, Chong Wang, Hongning Wang |
| 2021 | Causal Intervention for Leveraging Popularity Bias in Recommendation. Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang |
| 2021 | CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu |
| 2021 | Chatty Goose: A Python Framework for Conversational Search. Edwin Zhang, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin |
| 2021 | Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading. Hoang Van, Vikas Yadav, Mihai Surdeanu |
| 2021 | Circumstances enhanced Criminal Court View Generation. Linan Yue, Qi Liu, Han Wu, Yanqing An, Li Wang, Senchao Yuan, Dayong Wu |
| 2021 | Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua |
| 2021 | Cluster-Based Bandits: Fast Cold-Start for Recommender System New Users. Sulthana Shams, Daron Anderson, Douglas J. Leith |
| 2021 | Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models. Wentao Fan, Zhiyan Guo, Nizar Bouguila, Wenjuan Hou |
| 2021 | Communication Efficient Distributed Hypergraph Clustering. Chun Jiang Zhu, Qinqing Liu, Jinbo Bi |
| 2021 | Comparison-based Conversational Recommender System with Relative Bandit Feedback. Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li |
| 2021 | Composite Code Sparse Autoencoders for First Stage Retrieval. Carlos Lassance, Thibault Formal, Stéphane Clinchant |
| 2021 | Comprehensive Linguistic-Visual Composition Network for Image Retrieval. Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie |
| 2021 | Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness. Harrie Oosterhuis |
| 2021 | ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu |
| 2021 | Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval. Xuanang Chen, Ben He, Kai Hui, Yiran Wang, Le Sun, Yingfei Sun |
| 2021 | Conversational Entity Linking: Problem Definition and Datasets. Hideaki Joko, Faegheh Hasibi, Krisztian Balog, Arjen P. de Vries |
| 2021 | Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback. Yifei Yuan, Wai Lam |
| 2021 | Conversational vs Traditional: Comparing Search Behavior and Outcome in Legal Case Retrieval. Bulou Liu, Yueyue Wu, Yiqun Liu, Fan Zhang, Yunqiu Shao, Chenliang Li, Min Zhang, Shaoping Ma |
| 2021 | Conversations Powered by Cross-Lingual Knowledge. Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke |
| 2021 | CopyCat: Near-Duplicates Within and Between the ClueWeb and the Common Crawl. Maik Fröbe, Janek Bevendorff, Lukas Gienapp, Michael Völske, Benno Stein, Martin Potthast, Matthias Hagen |
| 2021 | Counterfactual Data-Augmented Sequential Recommendation. Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen |
| 2021 | Counterfactual Explanations for Neural Recommenders. Khanh Hiep Tran, Azin Ghazimatin, Rishiraj Saha Roy |
| 2021 | Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen |
| 2021 | Cross Interaction Network for Natural Language Guided Video Moment Retrieval. Xinli Yu, Mohsen Malmir, Xin He, Jiangning Chen, Tong Wang, Yue Wu, Yue Liu, Yang Liu |
| 2021 | Cross-Batch Negative Sampling for Training Two-Tower Recommenders. Jinpeng Wang, Jieming Zhu, Xiuqiang He |
| 2021 | Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke |
| 2021 | Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval. Yi He, Xin Liu, Yiu-ming Cheung, Shu-Juan Peng, Jinhan Yi, Wentao Fan |
| 2021 | Current Challenges and Future Directions in Podcast Information Access. Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette |
| 2021 | DAIR: A Query-Efficient Decision-based Attack on Image Retrieval Systems. Mingyang Chen, Junda Lu, Yi Wang, Jianbin Qin, Wei Wang |
| 2021 | DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction. Jing Li, Dafei Yin, Haozhao Wang, Yonggang Wang |
| 2021 | DEKR: Description Enhanced Knowledge Graph for Machine Learning Method Recommendation. Xianshuai Cao, Yuliang Shi, Han Yu, Jihu Wang, Xinjun Wang, Zhongmin Yan, Zhiyong Chen |
| 2021 | DOZEN: Cross-Domain Zero Shot Named Entity Recognition with Knowledge Graph. Hoang Van Nguyen, Francesco Gelli, Soujanya Poria |
| 2021 | DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2021 | DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization. Xueying Zhang, Yunjiang Jiang, Yue Shang, Zhaomeng Cheng, Chi Zhang, Xiaochuan Fan, Yun Xiao, Bo Long |
| 2021 | DarkJargon.net: A Platform for Understanding Underground Conversation with Latent Meaning. Dominic Seyler, Wei Liu, Yunan Zhang, Xiaofeng Wang, ChengXiang Zhai |
| 2021 | De-Biased Modeling of Search Click Behavior with Reinforcement Learning. Jianghong Zhou, Sayyed M. Zahiri, Simon Hughes, Khalifeh Al Jadda, Surya Kallumadi, Eugene Agichtein |
| 2021 | Deconfounded Video Moment Retrieval with Causal Intervention. Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua |
| 2021 | Decoupling Representation Learning and Classification for GNN-based Anomaly Detection. Yanling Wang, Jing Zhang, Shasha Guo, Hongzhi Yin, Cuiping Li, Hong Chen |
| 2021 | Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction. Fan Zhou, Liu Yu, Xovee Xu, Goce Trajcevski |
| 2021 | Deep Learning on Graphs for Natural Language Processing. Lingfei Wu, Yu Chen, Heng Ji, Bang Liu |
| 2021 | Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs. Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu, Hengcan Shi |
| 2021 | Deep Position-wise Interaction Network for CTR Prediction. Jianqiang Huang, Ke Hu, Qingtao Tang, Mingjian Chen, Yi Qi, Jia Cheng, Jun Lei |
| 2021 | Deep User Match Network for Click-Through Rate Prediction. Zai Huang, Mingyuan Tao, Bufeng Zhang |
| 2021 | DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, ChengXiang Zhai, Alexander G. Schwing |
| 2021 | DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu |
| 2021 | DiffIR: Exploring Differences in Ranking Models' Behavior. Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton, Andrew Yates |
| 2021 | Distant Supervision based Machine Reading Comprehension for Extractive Summarization in Customer Service. Bing Ma, Cao Liu, Jingyu Wang, Shujie Hu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Jianxin Liao |
| 2021 | Do Affective Cues Validate Behavioural Metrics for Search? Daniel McDuff, Paul Thomas, Nick Craswell, Kael Rowan, Mary Czerwinski |
| 2021 | Does BERT Pay Attention to Cyberbullying? Fatma Elsafoury, Stamos Katsigiannis, Steven R. Wilson, Naeem Ramzan |
| 2021 | Dual Attention Transfer in Session-based Recommendation with Multi-dimensional Integration. Chen Chen, Jie Guo, Bin Song |
| 2021 | Dual Unbiased Recommender Learning for Implicit Feedback. Jae-woong Lee, Seongmin Park, Jongwuk Lee |
| 2021 | Dual-View Distilled BERT for Sentence Embedding. Xingyi Cheng |
| 2021 | DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher |
| 2021 | Dynamic Modality Interaction Modeling for Image-Text Retrieval. Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao, Liqiang Nie |
| 2021 | ECG Data Modeling and Analyzing via Deep Representation Learning and Nonparametric Hidden Markov Models. Jiaojiao Zhu, Wentao Fan |
| 2021 | ECOM'21: The SIGIR 2021 Workshop on eCommerce. Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke |
| 2021 | EXTRA: Explanation Ranking Datasets for Explainable Recommendation. Lei Li, Yongfeng Zhang, Li Chen |
| 2021 | Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury |
| 2021 | Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia |
| 2021 | Embedding Formulae and Text for Improved Math Retrieval. Behrooz Mansouri |
| 2021 | Empowering News Recommendation with Pre-trained Language Models. Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang |
| 2021 | Enabling Performance Prediction in Information Retrieval Evaluation. Guglielmo Faggioli |
| 2021 | Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang |
| 2021 | Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang |
| 2021 | Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure. Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan |
| 2021 | Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin |
| 2021 | Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation. Taegwan Kang, Hwanhee Lee, Byeongjin Choe, Kyomin Jung |
| 2021 | Entity Retrieval Using Fine-Grained Entity Aspects. Shubham Chatterjee, Laura Dietz |
| 2021 | Estimating the Reliability of Health-related Search Results. Marcos Fernández-Pichel |
| 2021 | Evaluating the Predictivity of IR Experiments. Lida Rashidi, Justin Zobel, Alistair Moffat |
| 2021 | Evaluation Measures Based on Preference Graphs. Charles L. A. Clarke, Chengxi Luo, Mark D. Smucker |
| 2021 | Event Occurrence Date Estimation based on Multivariate Time Series Analysis over Temporal Document Collections. Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa |
| 2021 | Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng |
| 2021 | FORM: Follow the Online Regularized Meta-Leader for Cold-Start Recommendation. Xuehan Sun, Tianyao Shi, Xiaofeng Gao, Yanrong Kang, Guihai Chen |
| 2021 | Fairness among New Items in Cold Start Recommender Systems. Ziwei Zhu, Jingu Kim, Trung Nguyen, Aish Fenton, James Caverlee |
| 2021 | Fast Attention-based Learning-To-Rank Model for Structured Map Search. Chiqun Zhang, Michael R. Evans, Max Lepikhin, Dragomir Yankov |
| 2021 | Faster Index Reordering with Bipartite Graph Partitioning. Joel Mackenzie, Matthias Petri, Alistair Moffat |
| 2021 | FedCMR: Federated Cross-Modal Retrieval. Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu |
| 2021 | FedCT: Federated Collaborative Transfer for Recommendation. Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amélie Marian |
| 2021 | FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications. Jean Lee, Hoyoul Luis Youn, Nicholas Stevens, Josiah Poon, Soyeon Caren Han |
| 2021 | Few-Shot Conversational Dense Retrieval. Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu |
| 2021 | Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan |
| 2021 | Files of a Feather Flock Together? Measuring and Modeling How Users Perceive File Similarity in Cloud Storage. Will Brackenbury, Galen Harrison, Kyle Chard, Aaron J. Elmore, Blase Ur |
| 2021 | Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He |
| 2021 | From Producer Success to Retention: A New Role of Search and Recommendation Systems on Marketplaces. Viet Ha-Thuc, Matthew Wood, Yunli Liu, Jagadeesan Sundaresan |
| 2021 | GAIPS: Accelerating Maximum Inner Product Search with GPU. Long Xiang, Xiao Yan, Lan Lu, Bo Tang |
| 2021 | Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries. Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi |
| 2021 | GemNN: Gating-enhanced Multi-task Neural Networks with Feature Interaction Learning for CTR Prediction. Hongliang Fei, Jingyuan Zhang, Xingxuan Zhou, Junhao Zhao, Xinyang Qi, Ping Li |
| 2021 | Generalized Zero-shot Intent Detection via Commonsense Knowledge. A. B. Siddique, Fuad T. Jamour, Luxun Xu, Vagelis Hristidis |
| 2021 | GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval. Golsa Tahmasebzadeh, Endri Kacupaj, Eric Müller-Budack, Sherzod Hakimov, Jens Lehmann, Ralph Ewerth |
| 2021 | GilBERT: Generative Vision-Language Pre-Training for Image-Text Retrieval. Weixiang Hong, Kaixiang Ji, Jiajia Liu, Jian Wang, Jingdong Chen, Wei Chu |
| 2021 | Glider: A Reinforcement Learning Approach to Extract UI Scripts from Websites. Yuanchun Li, Oriana Riva |
| 2021 | Graph Learning Regularization and Transfer Learning for Few-Shot Event Detection. Viet Dac Lai, Minh Van Nguyen, Thien Huu Nguyen, Franck Dernoncourt |
| 2021 | Graph Meta Network for Multi-Behavior Recommendation. Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo |
| 2021 | Graph Pooling via Coarsened Graph Infomax. Yunsheng Pang, Yunxiang Zhao, Dongsheng Li |
| 2021 | Graph-Structured Context Understanding for Knowledge-grounded Response Generation. Yanran Li, Wenjie Li, Zhitao Wang |
| 2021 | GraphPAS: Parallel Architecture Search for Graph Neural Networks. Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade, Tengfei Lyu, Zhao Li |
| 2021 | Group based Personalized Search by Integrating Search Behaviour and Friend Network. Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen |
| 2021 | HONto: A Bottom-Up Knowledge Base from Textbooks for Recommending Contextually Relevant Documents. Sabine Wehnert |
| 2021 | HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo, Yongfeng Zhang |
| 2021 | Heterogeneous Attention Network for Effective and Efficient Cross-modal Retrieval. Tan Yu, Yi Yang, Yi Li, Lin Liu, Hongliang Fei, Ping Li |
| 2021 | Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval. Weike Jin, Zhou Zhao, Pengcheng Zhang, Jieming Zhu, Xiuqiang He, Yueting Zhuang |
| 2021 | Hierarchical Dependence-aware Evaluation Measures for Conversational Search. Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Raffaele Perego, Nicola Tonellotto |
| 2021 | Hierarchical Multi-modal Contextual Attention Network for Fake News Detection. Shengsheng Qian, Jinguang Wang, Jun Hu, Quan Fang, Changsheng Xu |
| 2021 | Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction. Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang, Zulong Chen |
| 2021 | How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. Iain Mackie, Jeffrey Dalton, Andrew Yates |
| 2021 | How Powerful are Interest Diffusion on Purchasing Prediction: A Case Study of Taocode. Xuanwen Huang, Yang Yang, Ziqiang Cheng, Shen Fan, Zhongyao Wang, Juren Li, Jun Zhang, Jingmin Chen |
| 2021 | How do Online Learning to Rank Methods Adapt to Changes of Intent? Shengyao Zhuang, Guido Zuccon |
| 2021 | Hybrid Fusion with Intra- and Cross-Modality Attention for Image-Recipe Retrieval. Jiao Li, Xing Xu, Wei Yu, Fumin Shen, Zuo Cao, Kai Zuo, Heng Tao Shen |
| 2021 | Hybrid Learning to Rank for Financial Event Ranking. Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua |
| 2021 | Hyperbolic Online Time Stream Modeling. Ramit Sawhney, Shivam Agarwal, Megh Thakkar, Arnav Wadhwa, Rajiv Ratn Shah |
| 2021 | ICAI-SR: Item Categorical Attribute Integrated Sequential Recommendation. Xu Yuan, Dongsheng Duan, Lingling Tong, Lei Shi, Cheng Zhang |
| 2021 | IR for Children 2000-2020: Where Are We Now? Theo Huibers, Monica Landoni, Emiliana Murgia, Maria Soledad Pera |
| 2021 | Identifying Queries in Instant Search Logs. Markus Fischer, Kristof Komlossy, Benno Stein, Martin Potthast, Matthias Hagen |
| 2021 | Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher Distillation. Jaekeol Choi, Euna Jung, Jangwon Suh, Wonjong Rhee |
| 2021 | Improving Deep Learning based Multi-document Summarization through Linguistic Knowledge. Congbo Ma |
| 2021 | Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality. Chinmay Rane, Gaël Dias, Alexis Lechervy, Asif Ekbal |
| 2021 | Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. Ziming Li, Julia Kiseleva, Maarten de Rijke |
| 2021 | Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell |
| 2021 | Improving Video Retrieval by Adaptive Margin. Feng He, Qi Wang, Zhifan Feng, Wenbin Jiang, Yajuan Lü, Yong Zhu, Xiao Tan |
| 2021 | Inductive Representation Learning in Temporal Networks via Mining Neighborhood and Community Influences. Meng Liu, Yong Liu |
| 2021 | Info-flow Enhanced GANs for Recommender. Yuan Lin, Zhang Xie, Bo Xu, Kan Xu, Hongfei Lin |
| 2021 | Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. Chuan Meng, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi, Maarten de Rijke |
| 2021 | Interacting with Information in Immersive Virtual Environments. Austin R. Ward, Yiyin Gu, Sandeep Avula, Praneeth Chakravarthula |
| 2021 | Interactive Information Retrieval with Bandit Feedback. Huazheng Wang, Yiling Jia, Hongning Wang |
| 2021 | Interactive Information Retrieval: Models, Algorithms, and Evaluation. ChengXiang Zhai |
| 2021 | Interpretable Document Representations for Fast and Accurate Retrieval of Mathematical Information. Vít Novotný |
| 2021 | Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings. Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy |
| 2021 | Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury |
| 2021 | Investigating Session Search Behavior with Knowledge Graphs. Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma |
| 2021 | Investigating User Behavior in Legal Case Retrieval. Yunqiu Shao, Yueyue Wu, Yiqun Liu, Jiaxin Mao, Min Zhang, Shaoping Ma |
| 2021 | Is Query Performance Prediction With Multiple Query Variations Harder Than Topic Performance Prediction? Oleg Zendel, J. Shane Culpepper, Falk Scholer |
| 2021 | Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu |
| 2021 | Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li |
| 2021 | Joint Learning of Deep Retrieval Model and Product Quantization based Embedding Index. Han Zhang, Hongwei Shen, Yiming Qiu, Yunjiang Jiang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang |
| 2021 | KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval. Minghan Li, Éric Gaussier |
| 2021 | Knowledge Based Hyperbolic Propagation. Chang-You Tai, Chien-Kun Huang, Liang-Ying Huang, Lun-Wei Ku |
| 2021 | Knowledge Graph Embedding via Metagraph Learning. Chanyoung Chung, Joyce Jiyoung Whang |
| 2021 | Knowledge-based Review Generation by Coherence Enhanced Text Planning. Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen |
| 2021 | LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering. Zujie Liang, Haifeng Hu, Jiaying Zhu |
| 2021 | LS-DST: Long and Sparse Dialogue State Tracking with Smart History Collector in Insurance Marketing. Liqiang Song, Mengqiu Yao, Ye Bi, Zhenyu Wu, Jianming Wang, Jing Xiao, Juan Wen, Xin Yu |
| 2021 | LSTPR: Graph-based Matrix Factorization with Long Short-term Preference Ranking. Chih-Hen Lee, Jun-En Ding, Chih-Ming Chen, Jing-Kai Lou, Ming-Feng Tsai, Chuan-Ju Wang |
| 2021 | LeCaRD: A Legal Case Retrieval Dataset for Chinese Law System. Yixiao Ma, Yunqiu Shao, Yueyue Wu, Yiqun Liu, Ruizhe Zhang, Min Zhang, Shaoping Ma |
| 2021 | Learning Discriminative Neural Representations for Event Detection. Jinzhi Liao, Xiang Zhao, Xinyi Li, Lingling Zhang, Jiuyang Tang |
| 2021 | Learning Domain Semantics and Cross-Domain Correlations for Paper Recommendation. Yi Xie, Yuqing Sun, Elisa Bertino |
| 2021 | Learning Early Exit Strategies for Additive Ranking Ensembles. Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani |
| 2021 | Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction. Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Li Li, Kun Zhang, Jinmei Luo, Zhaojie Liu, Yanlong Du |
| 2021 | Learning Passage Impacts for Inverted Indexes. Antonio Mallia, Omar Khattab, Torsten Suel, Nicola Tonellotto |
| 2021 | Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen |
| 2021 | Learning Robust Dense Retrieval Models from Incomplete Relevance Labels. Prafull Prakash, Julian Killingback, Hamed Zamani |
| 2021 | Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. Keping Bi, Qingyao Ai, W. Bruce Croft |
| 2021 | Learning to Ask Appropriate Questions in Conversational Recommendation. Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng |
| 2021 | Learning to Rank for Mathematical Formula Retrieval. Behrooz Mansouri, Richard Zanibbi, Douglas W. Oard |
| 2021 | Learning to Select Instance: Simultaneous Transfer Learning and Clustering. Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo |
| 2021 | Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao |
| 2021 | Learning with Little Data: Industry Challenges and Innovations. Nikhil Rao |
| 2021 | Legal Judgment Prediction via Relational Learning. Qian Dong, Shuzi Niu |
| 2021 | Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting. Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, Shikun Zhang |
| 2021 | Leveraging Lead Bias for Zero-shot Abstractive News Summarization. Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang |
| 2021 | Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen |
| 2021 | Long-Tail Hashing. Yong Chen, Yuqing Hou, Shu Leng, Qing Zhang, Zhouchen Lin, Dell Zhang |
| 2021 | Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks. Wonchang Lee, Yeon-Chang Lee, Dongwon Lee, Sang-Wook Kim |
| 2021 | Looking at CTR Prediction Again: Is Attention All You Need? Yuan Cheng, Yanbo Xue |
| 2021 | MMConv: An Environment for Multimodal Conversational Search across Multiple Domains. Lizi Liao, Le Hong Long, Zheng Zhang, Minlie Huang, Tat-Seng Chua |
| 2021 | MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin |
| 2021 | MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo |
| 2021 | Make It Easy: An Effective End-to-End Entity Alignment Framework. Congcong Ge, Xiaoze Liu, Lu Chen, Baihua Zheng, Yunjun Gao |
| 2021 | Maximal Multipolarized Cliques Search in Signed Networks. Jie Gao, Fei Hao, Geyong Min, Zhipeng Cai |
| 2021 | Medical Triage Chatbot Diagnosis Improvement via Multi-relational Hyperbolic Graph Neural Network. Zheng Liu, Xiaohan Li, Zeyu You, Tao Yang, Wei Fan, Philip S. Yu |
| 2021 | Meta-Inductive Node Classification across Graphs. Zhihao Wen, Yuan Fang, Zemin Liu |
| 2021 | Meta-Learned Specific Scenario Interest Network for User Preference Prediction. Yinan Sun, Kang Yin, Hehuan Liu, Si Li, Yajing Xu, Jun Guo |
| 2021 | MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion. Zhiyi Jiang, Jianliang Gao, Xinqi Lv |
| 2021 | Mitigating Sentiment Bias for Recommender Systems. Chen Lin, Xinyi Liu, Guipeng Xv, Hui Li |
| 2021 | Modeling Intent Graph for Search Result Diversification. Zhan Su, Zhicheng Dou, Yutao Zhu, Xubo Qin, Ji-Rong Wen |
| 2021 | Morphologically Annotated Amharic Text Corpora. Tilahun Yeshambel, Josiane Mothe, Yaregal Assabie |
| 2021 | Motif-aware Sequential Recommendation. Zeyu Cui, Yinjiang Cai, Shu Wu, Xibo Ma, Liang Wang |
| 2021 | Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization. Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammed Hasanuzzaman |
| 2021 | Multi-Type Textual Reasoning for Product-Aware Answer Generation. Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li |
| 2021 | Multimodal Activation: Awakening Dialog Robots without Wake Words. Liqiang Nie, Mengzhao Jia, Xuemeng Song, Ganglu Wu, Harry Cheng, Jian Gu |
| 2021 | NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns. Manish Chandra, Debasis Ganguly, Pabitra Mitra, Bithika Pal, James Thomas |
| 2021 | NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction. Linan Yue, Qi Liu, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu |
| 2021 | Neural Graph Matching based Collaborative Filtering. Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan |
| 2021 | Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization. Ramin Raziperchikolaei, Tianyu Li, Young-joo Chung |
| 2021 | New Insights into Metric Optimization for Ranking-based Recommendation. Roger Zhe Li, Julián Urbano, Alan Hanjalic |
| 2021 | New Perspectives to Query Performance Prediction Evaluation. Oleg Zendel |
| 2021 | News2PubMed: A Browser Extension for Linking Health News to Medical Literature. Jun Wang, Bei Yu |
| 2021 | Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. Daniel Cohen, Bhaskar Mitra, Oleg Lesota, Navid Rekabsaz, Carsten Eickhoff |
| 2021 | On Interpretation and Measurement of Soft Attributes for Recommendation. Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou |
| 2021 | On the Orthogonality of Bias and Utility in Ad hoc Retrieval. Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri |
| 2021 | On the Privacy of Federated Pipelines. Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Jan Baumbach, David B. Blumenthal |
| 2021 | On the Quality of the TREC-COVID IR Test Collections. Ellen M. Voorhees, Kirk Roberts |
| 2021 | On the Two-Sample Randomisation Test for IR Evaluation. Tetsuya Sakai |
| 2021 | One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles. Zhengyi Ma, Zhicheng Dou, Yutao Zhu, Hanxun Zhong, Ji-Rong Wen |
| 2021 | One Person, One Model, One World: Learning Continual User Representation without Forgetting. Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon M. Jose, Beibei Kong, Yudong Li |
| 2021 | OpenMatch: An Open Source Library for Neu-IR Research. Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu, Maosong Sun |
| 2021 | Optimizing Dense Retrieval Model Training with Hard Negatives. Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2021 | OrgBox: Supporting Cognitive and Metacognitive Activities During Exploratory Search. Austin R. Ward, Robert Capra |
| 2021 | PAN: Prototype-based Adaptive Network for Robust Cross-modal Retrieval. Zhixiong Zeng, Shuai Wang, Nan Xu, Wenji Mao |
| 2021 | PECAN: A Platform for Searching Chat Conversations. Kunpeng Qin, Harrisen Scells, Guido Zuccon |
| 2021 | POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation. Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog |
| 2021 | PTHash: Revisiting FCH Minimal Perfect Hashing. Giulio Ermanno Pibiri, Roberto Trani |
| 2021 | PYA0: A Python Toolkit for Accessible Math-Aware Search. Wei Zhong, Jimmy Lin |
| 2021 | Package Recommendation with Intra- and Inter-Package Attention Networks. Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin |
| 2021 | Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu |
| 2021 | Passage Retrieval for Outside-Knowledge Visual Question Answering. Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller |
| 2021 | Path-based Deep Network for Candidate Item Matching in Recommenders. Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang |
| 2021 | Pchatbot: A Large-Scale Dataset for Personalized Chatbot. Hongjin Qian, Xiaohe Li, Hanxun Zhong, Yu Guo, Yueyuan Ma, Yutao Zhu, Zhanliang Liu, Zhicheng Dou, Ji-Rong Wen |
| 2021 | Personalized News Recommendation with Knowledge-aware Interactive Matching. Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang |
| 2021 | Podcast Metadata and Content: Episode Relevance and Attractiveness in Ad Hoc Search. Ben Carterette, Rosie Jones, Gareth J. F. Jones, Maria Eskevich, Sravana Reddy, Ann Clifton, Yongze Yu, Jussi Karlgren, Ian Soboroff |
| 2021 | Policy-Gradient Training of Fair and Unbiased Ranking Functions. Himank Yadav, Zhengxiao Du, Thorsten Joachims |
| 2021 | Position Enhanced Mention Graph Attention Network for Dialogue Relation Extraction. Xinwei Long, Shuzi Niu, Yucheng Li |
| 2021 | PreSizE: Predicting Size in E-Commerce using Transformers. Yotam Eshel, Or Levi, Haggai Roitman, Alexander Nus |
| 2021 | Precision Medicine Search for Paediatric Oncology. Bevan Koopman, Tracey Wright, Natacha Omer, Veronica McCabe, Guido Zuccon |
| 2021 | Predicting Links on Wikipedia with Anchor Text Information. Robin Brochier, Frédéric Béchet |
| 2021 | Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. Qiuhao Lu, Thien Huu Nguyen, Dejing Dou |
| 2021 | Predicting User Demography and Device from News Comments. Ohad Rozen, Joel Oren, Ariel Raviv |
| 2021 | Pretrained Transformers for Text Ranking: BERT and Beyond. Andrew Yates, Rodrigo Nogueira, Jimmy Lin |
| 2021 | Privacy Protection in Deep Multi-modal Retrieval. Peng-Fei Zhang, Yang Li, Zi Huang, Hongzhi Yin |
| 2021 | Privacy-Aware Remote Information Retrieval User Experiments Logging Tool. Hanyu Li, Hongyu Lu, Songhao Huang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma |
| 2021 | Privileged Graph Distillation for Cold Start Recommendation. Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang |
| 2021 | Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals. Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, Zhicheng Dou |
| 2021 | Propensity-Independent Bias Recovery in Offline Learning-to-Rank Systems. Zohreh Ovaisi, Kathryn Vasilaky, Elena Zheleva |
| 2021 | Propensity-scored Probabilistic Label Trees. Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski |
| 2021 | Pseudo Siamese Network for Few-shot Intent Generation. Congying Xia, Caiming Xiong, Philip S. Yu |
| 2021 | Putting the Role of Personalization into Context. Dmitri Goldenberg |
| 2021 | Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira |
| 2021 | QuARk: A GUI for Quality-Aware Ranking of Arguments. Markus Nilles, Lorik Dumani, Ralf Schenkel |
| 2021 | QuTI! Quantifying Text-Image Consistency in Multimodal Documents. Matthias Springstein, Eric Müller-Budack, Ralph Ewerth |
| 2021 | RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems. Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su |
| 2021 | REGIS: A Test Collection for Geoscientific Documents in Portuguese. Lucas Lima de Oliveira, Regis Kruel Romeu, Viviane Pereira Moreira |
| 2021 | RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction. Pu Zhao, Chuan Luo, Cheng Zhou, Bo Qiao, Jiale He, Liangjie Zhang, Qingwei Lin |
| 2021 | RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT. Qinglin Jia, Jingjie Li, Qi Zhang, Xiuqiang He, Jieming Zhu |
| 2021 | Ranking User-Generated Content via Multi-Relational Graph Convolution. Kanika Narang, Adit Krishnan, Junting Wang, Chaoqi Yang, Hari Sundaram, Carolyn Sutter |
| 2021 | ReXPlug: Explainable Recommendation using Plug-and-Play Language Model. Deepesh V. Hada, Vijaikumar M, Shirish K. Shevade |
| 2021 | ReadsRE: Retrieval-Augmented Distantly Supervised Relation Extraction. Yue Zhang, Hongliang Fei, Ping Li |
| 2021 | Regularized Dual-PPMI Co-clustering for Text Data. Séverine Affeldt, Lazhar Labiod, Mohamed Nadif |
| 2021 | Reinforcement Learning for Information Retrieval. Alexander Kuhnle, Miguel Aroca-Ouellette, Anindya Basu, Murat Sensoy, John Reid, Dell Zhang |
| 2021 | Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs. Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum |
| 2021 | Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si |
| 2021 | Restoring Healthy Online Discourse by Detecting and Reducing Controversy, Misinformation, and Toxicity Online. Shiri Dori-Hacohen, Keen Sung, Jengyu Chou, Julian Lustig-Gonzalez |
| 2021 | Retrieving Complex Tables with Multi-Granular Graph Representation Learning. Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely |
| 2021 | Retrieving Implicit Information for Stock Movement Prediction. Tsun-Hsien Tang, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2021 | Retrieving Skill-Based Teams from Collaboration Networks. Radin Hamidi Rad, Ebrahim Bagheri, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta |
| 2021 | Revisiting the Tag Relevance Prediction Problem. Denis Kotkov, Alexandr V. Maslov, Mats Neovius |
| 2021 | Robust Neural Text Classification and Entailment via Mixup Regularized Adversarial Training. Jiahao Zhao, Penghui Wei, Wenji Mao |
| 2021 | Rumor Detection on Social Media with Event Augmentations. Zhenyu He, Ce Li, Fan Zhou, Yi Yang |
| 2021 | SDG: A Simplified and Dynamic Graph Neural Network. Dongqi Fu, Jingrui He |
| 2021 | SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 Fernando Diaz, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones, Tetsuya Sakai |
| 2021 | SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking. Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant |
| 2021 | Scalable Personalised Item Ranking through Parametric Density Estimation. Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh |
| 2021 | ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu |
| 2021 | Science2Cure: A Clinical Trial Search Prototype. Maciej Rybinski, Sarvnaz Karimi, Aleney Khoo |
| 2021 | SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search. Xinlin Xia, Shang Wang, Han Zhang, Songlin Wang, Sulong Xu, Yun Xiao, Bo Long, Wen-Yun Yang |
| 2021 | Seer-Dock: A General-Purpose Dockerized Scholarly Document Collection and Management Framework. Dina Sayed, Mohamed Nour, Heiko Schuldt |
| 2021 | Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering. Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti |
| 2021 | Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations. Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang |
| 2021 | Self-supervised Graph Learning for Recommendation. Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie |
| 2021 | Semantic Query Labeling Through Synthetic Query Generation. Elias Bassani, Gabriella Pasi |
| 2021 | Semi-Supervised Variational Reasoning for Medical Dialogue Generation. Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke |
| 2021 | Semi-automatic Labelling of Scientific Articles using Deep Learning to Enlarge Benchmark Data for Scientific Summarization. Alaa El-Ebshihy |
| 2021 | Sequential Recommendation for Cold-start Users with Meta Transitional Learning. Jianling Wang, Kaize Ding, James Caverlee |
| 2021 | Sequential Recommendation with Graph Neural Networks. Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, Yong Li |
| 2021 | Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang |
| 2021 | Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua |
| 2021 | Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz |
| 2021 | Sim4IR: The SIGIR 2021 Workshop on Simulation for Information Retrieval Evaluation. Krisztian Balog, David Maxwell, Paul Thomas, Shuo Zhang |
| 2021 | Similar Trademark Detection via Semantic, Phonetic and Visual Similarity Information. Yingchi Liu, Quanzhi Li, Changlong Sun, Luo Si |
| 2021 | Simplified Data Wrangling with ir_datasets. Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian |
| 2021 | Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke |
| 2021 | Social Recommendation with Implicit Social Influence. Changhao Song, Bo Wang, Qinxue Jiang, Yehua Zhang, Ruifang He, Yuexian Hou |
| 2021 | Societal Biases in Retrieved Contents: Measurement Framework and Adversarial Mitigation of BERT Rankers. Navid Rekabsaz, Simone Kopeinik, Markus Schedl |
| 2021 | StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang |
| 2021 | Stance Detection: Concepts, Approaches, Resources, and Outstanding Issues. Dilek Küçük, Fazli Can |
| 2021 | Standing in Your Shoes: External Assessments for Personalized Recommender Systems. Hongyu Lu, Weizhi Ma, Min Zhang, Maarten de Rijke, Yiqun Liu, Shaoping Ma |
| 2021 | Stopping Criteria for Technology Assisted Reviews based on Counting Processes. Alison Sneyd, Mark Stevenson |
| 2021 | Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval. Alberto Ueda, Rodrygo L. T. Santos, Craig Macdonald, Iadh Ounis |
| 2021 | Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, Hao Yang |
| 2021 | Summarize Dates First: A Paradigm Shift in Timeline Summarization. Moreno La Quatra, Luca Cagliero, Elena Baralis, Alberto Messina, Maurizio Montagnuolo |
| 2021 | Supporting Metacognition during Exploratory Search with the OrgBox. Anita Crescenzi, Austin R. Ward, Yuan Li, Rob Capra |
| 2021 | Synthetic Target Domain Supervision for Open Retrieval QA. Revanth Gangi Reddy, Bhavani Iyer, Md. Arafat Sultan, Rong Zhang, Avirup Sil, Vittorio Castelli, Radu Florian, Salim Roukos |
| 2021 | TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. Yao Wu, Jian Cao, Guandong Xu, Yudong Tan |
| 2021 | TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung |
| 2021 | TILDE: Term Independent Likelihood moDEl for Passage Re-ranking. Shengyao Zhuang, Guido Zuccon |
| 2021 | TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff |
| 2021 | Targeted Attack and Defense for Deep Hashing. Xunguang Wang, Zheng Zhang, Guangming Lu, Yong Xu |
| 2021 | Temporal Augmented Graph Neural Networks for Session-Based Recommendations. Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang |
| 2021 | Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng |
| 2021 | Text-to-Text Multi-view Learning for Passage Re-ranking. Jia-Huei Ju, Jheng-Hong Yang, Chuan-Ju Wang |
| 2021 | The Information Retrieval Anthology. Martin Potthast, Sebastian Günther, Janek Bevendorff, Jan Philipp Bittner, Alexander Bondarenko, Maik Fröbe, Christian Kahmann, Andreas Niekler, Michael Völske, Benno Stein, Matthias Hagen |
| 2021 | The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems. Elizabeth Gómez, Carlos Shui Zhang, Ludovico Boratto, Maria Salamó, Mirko Marras |
| 2021 | The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation. Yuqi Qin, Pengfei Wang, Chenliang Li |
| 2021 | This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics. Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans |
| 2021 | Towards Multi-Modal Conversational Information Seeking. Yashar Deldjoo, Johanne R. Trippas, Hamed Zamani |
| 2021 | Towards Personalized Fairness based on Causal Notion. Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang |
| 2021 | Towards Trustworthiness in the Context of Explainable Search. Sayantan Polley, Rashmi Raju Koparde, Akshaya Bindu Gowri, Maneendra Perera, Andreas Nürnberger |
| 2021 | Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng |
| 2021 | Towards an Online Empathetic Chatbot with Emotion Causes. Yanran Li, Ke Li, Hongke Ning, Xiaoqiang Xia, Yalong Guo, Chen Wei, Jianwei Cui, Bin Wang |
| 2021 | Tracing Knowledge State with Individual Cognition and Acquisition Estimation. Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu |
| 2021 | Transfer Learning for the Multilingual and Multi-Domain Classification of Messages Relating to Crises. Cinthia Sánchez |
| 2021 | Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He |
| 2021 | Transformer Reasoning Network for Personalized Review Summarization. Hongyan Xu, Hongtao Liu, Pengfei Jiao, Wenjun Wang |
| 2021 | Transformer-based Banking Products Recommender System. Davide Liu, George Philippe Farajalla, Alexandre Boulenger |
| 2021 | TripClick: The Log Files of a Large Health Web Search Engine. Navid Rekabsaz, Oleg Lesota, Markus Schedl, Jon Brassey, Carsten Eickhoff |
| 2021 | Tutorial on Fairness of Machine Learning in Recommender Systems. Yunqi Li, Yingqiang Ge, Yongfeng Zhang |
| 2021 | UGRec: Modeling Directed and Undirected Relations for Recommendation. Xinxiao Zhao, Zhiyong Cheng, Lei Zhu, Jiecai Zheng, Xueqing Li |
| 2021 | Underestimation Refinement: A General Enhancement Strategy for Exploration in Recommendation Systems. Yuhai Song, Lu Wang, Haoming Dang, Weiwei Zhou, Jing Guan, Xiwei Zhao, Changping Peng, Yongjun Bao, Jingping Shao |
| 2021 | Understanding How Algorithmic and Cognitive Biases in Web Search Affect User Attitudes on Debated Topics. Tim Draws |
| 2021 | Understanding and Mitigating Bias in Online Health Search. Anat Hashavit, Hongning Wang, Raz Lin, Tamar Stern, Sarit Kraus |
| 2021 | Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach. Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly |
| 2021 | Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam |
| 2021 | Unsupervised Ensemble Learning with Noisy Label Correction. Xupeng Zou, Zhongnan Zhang, Zhen He, Liang Shi |
| 2021 | Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs. Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang |
| 2021 | Unsupervised Proxy Selection for Session-based Recommender Systems. Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu |
| 2021 | User Feedback and Ranking in-a-Loop: Towards Self-Adaptive Dialogue Systems. Chen Shi, Yuxiang Hu, Zengming Zhang, Liang Shao, Feijun Jiang |
| 2021 | User Preference-aware Fake News Detection. Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun |
| 2021 | User-Centric Path Reasoning towards Explainable Recommendation. Chang-You Tai, Liang-Ying Huang, Chien-Kun Huang, Lun-Wei Ku |
| 2021 | Utility of Missing Concepts in Query-biased Summarization. Sheikh Muhammad Sarwar, Felipe Moraes, Jiepu Jiang, James Allan |
| 2021 | Variational Autoencoders for Top-K Recommendation with Implicit Feedback. Bahare Askari, Jaroslaw Szlichta, Amirali Salehi-Abari |
| 2021 | Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin |
| 2021 | Video Corpus Moment Retrieval with Contrastive Learning. Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh |
| 2021 | Visual Question Rewriting for Increasing Response Rate. Jiayi Wei, Xilian Li, Yi Zhang, Xin Eric Wang |
| 2021 | WGCN: Graph Convolutional Networks with Weighted Structural Features. Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui Zhang |
| 2021 | WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork |
| 2021 | WTR: A Test Collection for Web Table Retrieval. Zhiyu Chen, Shuo Zhang, Brian D. Davison |
| 2021 | WWW3E8: 259, 000 Relevance Labels for Studying the Effect of Document Presentation Order for Relevance Assessors. Tetsuya Sakai, Sijie Tao, Zhaohao Zeng |
| 2021 | Web Document Encoding for Structure-Aware Keyphrase Extraction. Jihyuk Kim, Young-In Song, Seung-won Hwang |
| 2021 | When Choice Happens: A Systematic Examination of Mouse Movement Length for Decision Making in Web Search. Lukas Brückner, Ioannis Arapakis, Luis A. Leiva |
| 2021 | When Fair Ranking Meets Uncertain Inference. Avijit Ghosh, Ritam Dutt, Christo Wilson |
| 2021 | When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. Chuanhao Li, Qingyun Wu, Hongning Wang |
| 2021 | Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia. KayYen Wong, Miriam Redi, Diego Sáez-Trumper |
| 2021 | Window Navigation with Adaptive Probing for Executing BlockMax WAND. Jinjin Shao, Yifan Qiao, Shiyu Ji, Tao Yang |
| 2021 | Wizard of Search Engine: Access to Information Through Conversations with Search Engines. Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke |
| 2021 | X-2ch: Quad-Channel Collaborative Graph Network over Knowledge-Embedded Edges. Kachun Lo, Tsukasa Ishigaki |
| 2021 | YASBIL: Yet Another Search Behaviour (and) Interaction Logger. Nilavra Bhattacharya, Jacek Gwizdka |
| 2021 | xLightFM: Extremely Memory-Efficient Factorization Machine. Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen |