Abstract is missing.
- The Next Generation of Neural NetworksGeoffrey E. Hinton. 1 [doi]
- Proof by Experimentation? Towards Better IR ResearchNorbert Fuhr. 2 [doi]
- Coopetition in IR ResearchEllen M. Voorhees. 3 [doi]
- On Presuppositions of Machine Learning: A Meta TheoryZongBen Xu. 4 [doi]
- How Deep Learning Works for Information RetrievalDacheng Tao. 5 [doi]
- From Information to AssistanceElizabeth F. Churchill. 6 [doi]
- The New TREC Track on Podcast Search and SummarizationRosie Jones. 7 [doi]
- Large-scale Multi-modal Search and QA at AlibabaRong Jin. 8 [doi]
- Training Effective Neural CLIR by Bridging the Translation GapHamed R. Bonab, Sheikh Muhammad Sarwar, James Allan. 9-18 [doi]
- A Quantum Interference Inspired Neural Matching Model for Ad-hoc RetrievalYongyu Jiang, Peng Zhang 0002, Hui Gao, Dawei Song 0001. 19-28 [doi]
- A Deep Recurrent Survival Model for Unbiased RankingJiarui Jin, Yuchen Fang, Weinan Zhang 0001, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu 0001, Jun Wang 0012, Xiaoqiang Zhu, Kun Gai. 29-38 [doi]
- ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTOmar Khattab, Matei Zaharia. 39-48 [doi]
- Efficient Document Re-Ranking for Transformers by Precomputing Term RepresentationsSean MacAvaney, Franco Maria Nardini, Raffaele Perego 0001, Nicola Tonellotto, Nazli Goharian, Ophir Frieder. 49-58 [doi]
- A Reinforcement Learning Framework for Relevance FeedbackAli Montazeralghaem, Hamed Zamani, James Allan. 59-68 [doi]
- Fairness-Aware Explainable Recommendation over Knowledge GraphsZuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo. 69-78 [doi]
- Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous ViewJibing Gong, Shen Wang 0005, JinLong Wang, Wenzheng Feng, Hao Peng, Jie Tang 0001, Philip S. Yu. 79-88 [doi]
- Sequential Recommendation with Self-Attentive Multi-Adversarial NetworkRuiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen. 89-98 [doi]
- MVIN: Learning Multiview Items for RecommendationChang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, Lun-Wei Ku. 99-108 [doi]
- Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential RecommendationChenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma. 109-118 [doi]
- Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click BehaviorYongzhen Wang, Jian Wang, Heng Huang, Hongsong Li, Xiaozhong Liu. 119-128 [doi]
- Pairwise View Weighted Graph Network for View-based 3D Model RetrievalZan Gao, Yin-Ming Li, Wei-li Guan, Weizhi Nie, Zhiyong Cheng, Anan Liu. 129-138 [doi]
- Detecting User Community in Sparse Domain via Cross-Graph Pairwise LearningZheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu. 139-148 [doi]
- BiANE: Bipartite Attributed Network EmbeddingWentao Huang, Yuchen Li, Yuan Fang 0001, Ju Fan, Hongxia Yang. 149-158 [doi]
- Hierarchical Fashion Graph Network for Personalized Outfit RecommendationXingchen Li, Xiang Wang, Xiangnan He 0001, Long Chen, Jun Xiao, Tat-Seng Chua. 159-168 [doi]
- Global Context Enhanced Graph Neural Networks for Session-based RecommendationZiyang Wang, Wei Wei 0002, Gao Cong, Xiao-Li Li, Xianling Mao, Minghui Qiu. 169-178 [doi]
- Interactive Recommender System via Knowledge Graph-enhanced Reinforcement LearningSijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang 0001, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu 0001. 179-188 [doi]
- Jointly Non-Sampling Learning for Knowledge Graph Enhanced RecommendationChong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma. 189-198 [doi]
- AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR PredictionBin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li. 199-208 [doi]
- KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential RecommendationPengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy Huang. 209-218 [doi]
- CKAN: Collaborative Knowledge-aware Attentive Network for Recommender SystemsZe Wang, Guangyan Lin, Huobin Tan, Qinghong Chen, Xiyang Liu. 219-228 [doi]
- CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer NetworkCheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun. 229-238 [doi]
- Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge GraphsKangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie 0001. 239-248 [doi]
- Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event RepresentationJianming Zheng, Fei Cai, Honghui Chen. 249-258 [doi]
- Ranking-Incentivized Quality Preserving Content ModificationGregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber. 259-268 [doi]
- On Understanding Data Worker Interaction BehaviorsLei Han 0003, Tianwa Chen, Gianluca Demartini, Marta Indulska, Shazia W. Sadiq. 269-278 [doi]
- Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human AttentionGuoxiu He, Yangyang Kang, Zhuoren Jiang, Jiawei Liu, Changlong Sun, Xiaozhong Liu, Wei Lu. 279-288 [doi]
- Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation CandidatesZheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie 0001. 289-298 [doi]
- The Cortical Activity of Graded RelevanceZuzana Pinkosova, William J. McGeown, Yashar Moshfeghi. 299-308 [doi]
- Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit FeedbackYuta Saito. 309-318 [doi]
- Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in RecommendationShaoyun Shi, Weizhi Ma, Min Zhang, Yongfeng Zhang, Xinxing Yu, Houzhi Shan, Yiqun Liu, Shaoping Ma. 319-328 [doi]
- Measuring Recommendation Explanation Quality: The Conflicting Goals of ExplanationsKrisztian Balog, Filip Radlinski. 329-338 [doi]
- Bayesian Inferential Risk Evaluation On Multiple IR SystemsRodger Benham, Ben Carterette, J. Shane Culpepper, Alistair Moffat. 339-348 [doi]
- How to Measure the Reproducibility of System-oriented IR ExperimentsTimo Breuer, Nicola Ferro 0001, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff. 349-358 [doi]
- Good Evaluation Measures based on Document PreferencesTetsuya Sakai, Zhaohao Zeng. 359-368 [doi]
- Preference-based Evaluation Metrics for Web Image SearchXiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Haitian Chen, Min Zhang, Shaoping Ma. 369-378 [doi]
- Models Versus Satisfaction: Towards a Better Understanding of Evaluation MetricsFan Zhang, Jiaxin Mao, Yiqun Liu, Xiaohui Xie, Weizhi Ma, Min Zhang, Shaoping Ma. 379-388 [doi]
- Cascade or Recency: Constructing Better Evaluation Metrics for Session SearchFan Zhang, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Min Zhang, Shaoping Ma. 389-398 [doi]
- Operationalizing the Legal Principle of Data Minimization for PersonalizationAsia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck. 399-408 [doi]
- Learning Personalized Risk Preferences for RecommendationYingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang. 409-418 [doi]
- Certifiable Robustness to Discrete Adversarial Perturbations for Factorization MachinesYang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He 0001, Carl Yang, Zibin Zheng. 419-428 [doi]
- Controlling Fairness and Bias in Dynamic Learning-to-RankMarco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims. 429-438 [doi]
- Can The Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's BackgroundKevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini. 439-448 [doi]
- Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking SystemsZiwei Zhu, Jianling Wang, James Caverlee. 449-458 [doi]
- What Makes a Top-Performing Precision Medicine Search Engine?: Tracing Main System Features in a Systematic WayErik Faessler, Michel Oleynik, Udo Hahn. 459-468 [doi]
- Accelerated Convergence for Counterfactual Learning to RankRolf Jagerman, Maarten de Rijke. 469-478 [doi]
- DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit FeaturesJiongnan Liu, Zhicheng Dou, Xiao-jie Wang, Shuqi Lu, Ji-Rong Wen. 479-488 [doi]
- Policy-Aware Unbiased Learning to Rank for Top-k RankingsHarrie Oosterhuis, Maarten de Rijke. 489-498 [doi]
- SetRank: Learning a Permutation-Invariant Ranking Model for Information RetrievalLiang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen. 499-508 [doi]
- Reinforcement Learning to Rank with Pairwise Policy GradientJun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen. 509-518 [doi]
- Humor Detection in Product Question Answering SystemsYftah Ziser, Elad Kravi, David Carmel. 519-528 [doi]
- Training Curricula for Open Domain Answer Re-RankingSean MacAvaney, Franco Maria Nardini, Raffaele Perego 0001, Nicola Tonellotto, Nazli Goharian, Ophir Frieder. 529-538 [doi]
- Open-Retrieval Conversational Question AnsweringChen Qu, Liu Yang 0005, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer. 539-548 [doi]
- Learning to Ask Screening Questions for Job PostingsBaoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He. 549-558 [doi]
- Match²: A Matching over Matching Model for Similar Question IdentificationZizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang 0005, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang. 559-568 [doi]
- Answer Ranking for Product-Related Questions via Multiple Semantic Relations ModelingWenxuan Zhang, Yang Deng, Wai Lam. 569-578 [doi]
- ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail PerformanceZhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng. 579-588 [doi]
- Table Search Using a Deep Contextualized Language ModelZhiYu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison 0001. 589-598 [doi]
- Convolutional Embedding for Edit DistanceXinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang 0002, James Cheng. 599-608 [doi]
- ASiNE: Adversarial Signed Network EmbeddingYeon-Chang Lee, Nayoun Seo, Kyungsik Han, Sang-Wook Kim. 609-618 [doi]
- Efficient Graph Query Processing over Geo-Distributed DatacentersYe Yuan, Delong Ma, Zhenyu Wen, Yuliang Ma, Guoren Wang, Lei Chen. 619-628 [doi]
- Spatio-Temporal Dual Graph Attention Network for Query-POI MatchingZixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong. 629-638 [doi]
- LightGCN: Simplifying and Powering Graph Convolution Network for RecommendationXiangnan He 0001, Kuan Deng, Xiang Wang, Yan Li, Yong-Dong Zhang, Meng Wang 0001. 639-648 [doi]
- GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group RecommendationZhixiang He, Chi-Yin Chow, Jia-Dong Zhang. 649-658 [doi]
- Multi-behavior Recommendation with Graph Convolutional NetworksBowen Jin, Chen Gao, Xiangnan He 0001, Depeng Jin, Yong Li. 659-668 [doi]
- GAG: Global Attributed Graph Neural Network for Streaming Session-based RecommendationRuihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen. 669-678 [doi]
- Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network ApproachLe Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang 0001. 679-688 [doi]
- GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster DetectionShijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Nguyen Hung, Zi Huang, LiZhen Cui. 689-698 [doi]
- Using Phoneme Representations to Build Predictive Models Robust to ASR ErrorsAnjie Fang, Simone Filice, Nut Limsopatham, Oleg Rokhlenko. 699-708 [doi]
- Knowledge Enhanced Personalized SearchShuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen. 709-718 [doi]
- Streaming Graph Neural NetworksYao Ma 0001, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin. 719-728 [doi]
- An Eye Tracking Study of Web Search by People With and Without DyslexiaSrishti Palani, Adam Fourney, Shane Williams, Kevin Larson, Irina Spiridonova, Meredith Ringel Morris. 729-738 [doi]
- DGL-KE: Training Knowledge Graph Embeddings at ScaleDa Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis. 739-748 [doi]
- Neural Interactive Collaborative FilteringLixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu 0001, Jimmy Xiangji Huang, Dawei Yin. 749-758 [doi]
- Fashion Compatibility Modeling through a Multi-modal Try-on-guided SchemeXue-dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie. 771-780 [doi]
- Spatial Object Recommendation with Hints: When Spatial Granularity MattersHui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli LI, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong. 781-790 [doi]
- Product Bundle Identification using Semi-Supervised LearningHen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira. 791-800 [doi]
- Coding Electronic Health Records with Adversarial Reinforcement Path GenerationShanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma 0001, Maarten de Rijke. 801-810 [doi]
- Degree-Aware Alignment for Entities in TailWeixin Zeng, Xiang Zhao 0002, Wei Wang 0011, Jiuyang Tang, Zhen Tan. 811-820 [doi]
- Regional Relation Modeling for Visual Place RecognitionYingying Zhu, Biao Li, Jiong Wang, Zhou Zhao. 821-830 [doi]
- A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform DataDugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming 0001. 831-840 [doi]
- Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems EvaluationElisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson. 841-850 [doi]
- Leveraging Social Media for Medical Text SimplificationNikhil Pattisapu, Nishant Prabhu, Smriti Bhati, Vasudeva Varma. 851-860 [doi]
- Sampler Design for Implicit Feedback Data by Noisy-label Robust LearningWenhui Yu, Zheng Qin. 861-870 [doi]
- MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for RecommendationsDongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan. 871-880 [doi]
- Towards Question-based Recommender SystemsJie Zou, Yifan Chen, Evangelos Kanoulas. 881-890 [doi]
- Try This Instead: Personalized and Interpretable Substitute RecommendationTong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang 0023, Meng Wang 0001. 891-900 [doi]
- Towards Linking Camouflaged Descriptions to Implicit Products in E-commerceLongtao Huang, Bo Yuan, Rong Zhang, Quan Lu. 901-910 [doi]
- Distributed Equivalent Substitution Training for Large-Scale Recommender SystemsHaidong Rong, Yangzihao Wang, Feihu Zhou, Junjie Zhai, Haiyang Wu, Rui Lan, Fan Li, Han Zhang, Yuekui Yang, Zhenyu Guo, Di Wang. 911-920 [doi]
- Query Resolution for Conversational Search with Limited SupervisionNikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke. 921-930 [doi]
- Self-Supervised Reinforcement Learning for Recommender SystemsXin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose. 931-940 [doi]
- Generative Attribute Manipulation Scheme for Flexible Fashion SearchXin Yang, Xuemeng Song, Xianjing Han, Haokun Wen, Jie Nie, Liqiang Nie. 941-950 [doi]
- How Dataset Characteristics Affect the Robustness of Collaborative Recommendation ModelsYashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra. 951-960 [doi]
- DPLCF: Differentially Private Local Collaborative FilteringChen Gao, Chao Huang, Dongsheng Lin, Depeng Jin, Yong Li 0008. 961-970 [doi]
- Content-aware Neural Hashing for Cold-start RecommendationCasper Hansen, Christian Hansen 0004, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma. 971-980 [doi]
- Meta Matrix Factorization for Federated Rating PredictionsYujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma 0001, Maarten de Rijke, Xiuzhen Cheng. 981-990 [doi]
- The Impact of More Transparent Interfaces on Behavior in Personalized RecommendationTobias Schnabel, Saleema Amershi, Paul N. Bennett, Peter Bailey, Thorsten Joachims. 991-1000 [doi]
- Disentangled Graph Collaborative FilteringXiang Wang, Hongye Jin, An Zhang, Xiangnan He 0001, Tong Xu, Tat-Seng Chua. 1001-1010 [doi]
- Domain-Adaptive Neural Automated Essay ScoringYue Cao, Hanqi Jin, Xiaojun Wan 0001, Zhiwei Yu. 1011-1020 [doi]
- ADORE: Aspect Dependent Online REview Labeling for Review GenerationParisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee. 1021-1030 [doi]
- Finding the Best of Both Worlds: Faster and More Robust Top-k Document RetrievalOmar Khattab, Mohammad Hammoud, Tamer Elsayed. 1031-1040 [doi]
- Recommending Podcasts for Cold-Start Users Based on Music Listening and TasteZahra Nazari, Christophe Charbuillet, Johan Pages, Martin Laurent, Denis Charrier, Briana Vecchione, Ben Carterette. 1041-1050 [doi]
- Learning with Weak Supervision for Email Intent DetectionKai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan T. Dumais. 1051-1060 [doi]
- 3D Self-Attention for Unsupervised Video QuantizationJingkuan Song, Ruimin Lang, Xiaosu Zhu, Xing Xu, Lianli Gao, Heng Tao Shen. 1061-1070 [doi]
- Modeling Personalized Item Frequency Information for Next-basket RecommendationHaoji Hu, Xiangnan He 0001, Jinyang Gao, Zhi-Li Zhang. 1071-1080 [doi]
- Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain RecommendationAdit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram. 1081-1090 [doi]
- Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based RecommendationWenjing Meng, Deqing Yang, Yanghua Xiao. 1091-1100 [doi]
- Next-item Recommendation with Sequential HypergraphsJianling Wang, Kaize Ding, Liangjie Hong, Huan Liu 0001, James Caverlee. 1101-1110 [doi]
- Encoding History with Context-aware Representation Learning for Personalized SearchYujia Zhou, Zhicheng Dou, Ji-Rong Wen. 1111-1120 [doi]
- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts TransformationZiwei Zhu, Shahin Sefati, Parsa Saadatpanah, James Caverlee. 1121-1130 [doi]
- Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational SearchHelia Hashemi, Hamed Zamani, W. Bruce Croft. 1131-1140 [doi]
- Investigating Reference Dependence Effects on User Search Interaction and Satisfaction: A Behavioral Economics PerspectiveJiqun Liu, Fangyuan Han. 1141-1150 [doi]
- DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded ConversationChuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, Maarten de Rijke. 1151-1160 [doi]
- What If Bots Feel Moods?Lisong Qiu, Yingwai Shiu, Pingping Lin, Ruihua Song, Yue Liu, Dongyan Zhao 0001, Rui Yan 0001. 1161-1170 [doi]
- Expressions of Style in Information Seeking Conversation with an AgentPaul Thomas 0001, Daniel J. McDuff, Mary Czerwinski, Nick Craswell. 1171-1180 [doi]
- Analyzing and Learning from User Interactions for Search ClarificationHamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais. 1181-1190 [doi]
- A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency LossHou Pong Chan, Wang Chen, Irwin King. 1191-1200 [doi]
- Enhancing Text Classification via Discovering Additional Semantic Clues from LogogramsChen Qian 0003, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua. 1201-1210 [doi]
- Learning to Transfer Graph Embeddings for Inductive Graph based RecommendationLe Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang 0001. 1211-1220 [doi]
- Web-to-Voice Transfer for Product Recommendation on VoiceRongting Zhang, Jie Yang. 1221-1230 [doi]
- Minimally Supervised Categorization of Text with MetadataYu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han 0001. 1231-1240 [doi]
- Joint Aspect-Sentiment Analysis with Minimal User GuidanceHonglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han. 1241-1250 [doi]
- AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start ProblemsDong-Kyu Chae, Jihoo Kim, Duen Horng Chau, Sang-Wook Kim. 1251-1260 [doi]
- Studying Product Competition Using Representation LearningFanglin Chen, Xiao Liu, Davide Proserpio, Isamar Troncoso, Feiyu Xiong. 1261-1268 [doi]
- Deep Critiquing for VAE-based Recommender SystemsKai Luo, Hojin Yang, Ga Wu, Scott Sanner. 1269-1278 [doi]
- GroupIM: A Mutual Information Maximization Framework for Neural Group RecommendationAravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram. 1279-1288 [doi]
- Neighbor Interaction Aware Graph Convolution Networks for RecommendationJianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates. 1289-1298 [doi]
- A Generic Network Compression Framework for Sequential Recommender SystemsYang Sun, Fajie Yuan, Min Yang 0007, Guoao Wei, Zhou Zhao, Duo Liu. 1299-1308 [doi]
- Learning Efficient Representations of Mouse Movements to Predict User AttentionIoannis Arapakis, Luis A. Leiva. 1309-1318 [doi]
- Query Reformulation in E-Commerce SearchSharon Hirsch, Ido Guy, Alexander Nus, Arnon Dagan, Oren Kurland. 1319-1328 [doi]
- Generating Images Instead of Retrieving Them: Relevance Feedback on Generative Adversarial NetworksAntti Ukkonen, Pyry Joona, Tuukka Ruotsalo. 1329-1338 [doi]
- Tree-Augmented Cross-Modal Encoding for Complex-Query Video RetrievalXun Yang, Jianfeng Dong, Yixin Cao 0002, Xun Wang, Meng Wang 0001, Tat-Seng Chua. 1339-1348 [doi]
- Nonlinear Robust Discrete Hashing for Cross-Modal RetrievalZhan Yang, Jun Long, Lei Zhu 0005, Wenti Huang. 1349-1358 [doi]
- Employing Personal Word Embeddings for Personalized SearchJing Yao, Zhicheng Dou, Ji-Rong Wen. 1359-1368 [doi]
- Query Rewriting for Voice Shopping Null QueriesIftah Gamzu, Marina Haikin, Nissim Halabi. 1369-1378 [doi]
- Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal RetrievalSong Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying. 1379-1388 [doi]
- Learning Colour Representations of Search QueriesParidhi Maheshwari, Manoj Ghuhan, Vishwa Vinay. 1389-1398 [doi]
- Web Table Retrieval using Multimodal Deep LearningRoee Shraga, Haggai Roitman, Guy Feigenblat, Mustafa Canim. 1399-1408 [doi]
- Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media RetrievalDi Wang 0011, Quan Wang 0006, Yaqiang An, Xinbo Gao, Yumin Tian. 1409-1418 [doi]
- Correlated Features Synthesis and Alignment for Zero-shot Cross-modal RetrievalXing Xu, Kaiyi Lin, Huimin Lu, Lianli Gao, Heng Tao Shen. 1419-1428 [doi]
- HME: A Hyperbolic Metric Embedding Approach for Next-POI RecommendationShanshan Feng, Lucas Vinh Tran, Gao Cong, Lisi Chen, Jing Li, Fan Li. 1429-1438 [doi]
- Dual Sequential Network for Temporal Sets PredictionLeilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong 0001, Weifeng Lv. 1439-1448 [doi]
- Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group RecommendationWen Wang, Wei Zhang 0056, Jun Rao, Zhijie Qiu, Bo Zhang 0056, Leyu Lin, Hongyuan Zha. 1449-1458 [doi]
- Time Matters: Sequential Recommendation with Complex Temporal InformationWenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin. 1459-1468 [doi]
- Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and RecommendationFajie Yuan, Xiangnan He 0001, Alexandros Karatzoglou, Liguang Zhang. 1469-1478 [doi]
- How to Retrain Recommender System?: A Sequential Meta-Learning MethodYang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He 0001, Meng Wang 0001, Yan Li, Yongdong Zhang. 1479-1488 [doi]
- Dynamic Clustering with Discrete Time Event PredictionKaran Aggarwal, Georgios Theocharous, Anup B. Rao. 1501-1504 [doi]
- Leveraging Transitions of Emotions for Sarcasm DetectionAmeeta Agrawal, Aijun An, Manos Papagelis. 1505-1508 [doi]
- JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce SearchAli Ahmadvand, Surya Kallumadi, Faizan Javed, Eugene Agichtein. 1509-1512 [doi]
- Choppy: Cut Transformer for Ranked List TruncationDara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins. 1513-1516 [doi]
- Studying Ransomware Attacks Using Web Search LogsChetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao. 1517-1520 [doi]
- A Transformer-based Embedding Model for Personalized Product SearchKeping Bi, Qingyao Ai, W. Bruce Croft. 1521-1524 [doi]
- Balancing Reinforcement Learning Training Experiences in Interactive Information RetrievalLimin Chen, Zhiwen Tang, Grace Hui Yang. 1525-1528 [doi]
- Metadata Matters in User Engagement PredictionXiang Chen, Saayan Mitra, Viswanathan Swaminathan. 1529-1532 [doi]
- Context-Aware Term Weighting For First Stage Passage RetrievalZhuyun Dai, Jamie Callan. 1533-1536 [doi]
- Summarizing and Exploring Tabular Data in Conversational SearchShuo Zhang 0006, Zhuyun Dai, Krisztian Balog, Jamie Callan. 1537-1540 [doi]
- Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text ClassificationXin Dong, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen Yang, Gerard de Melo. 1541-1544 [doi]
- Response Quality in Human-Chatbot Collaborative SystemsJiepu Jiang, Naman Ahuja. 1545-1548 [doi]
- High-Precision Extraction of Emerging Concepts from Scientific LiteratureDaniel King, Doug Downey, Daniel S. Weld. 1549-1552 [doi]
- Video Recommendation with Multi-gate Mixture of Experts Soft Actor CriticDingcheng Li, Xu Li, Jun Wang, Ping Li 0001. 1553-1556 [doi]
- Auto-annotation for Voice-enabled Entertainment SystemsWenyan Li, Ferhan Türe. 1557-1560 [doi]
- Domain Adaptation with Reconstruction for Disaster Tweet ClassificationXukun Li, Doina Caragea. 1561-1564 [doi]
- Recipe Retrieval with Visual Query of IngredientsYen-Chieh Lien, Hamed Zamani, W. Bruce Croft. 1565-1568 [doi]
- Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud DetectionZhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng. 1569-1572 [doi]
- Expansion via Prediction of Importance with ContextualizationSean MacAvaney, Franco Maria Nardini, Raffaele Perego 0001, Nicola Tonellotto, Nazli Goharian, Ophir Frieder. 1573-1576 [doi]
- Reranking for Efficient Transformer-based Answer SelectionYoshitomo Matsubara, Thuy Vu, Alessandro Moschitti. 1577-1580 [doi]
- Combining Contextualized and Non-contextualized Query Translations to Improve CLIRSuraj Nair, Petra Galuscáková, Douglas W. Oard. 1581-1584 [doi]
- Proactive Suggestion Generation: Data and Methods for Stepwise Task AssistanceElnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White. 1585-1588 [doi]
- Contextual Re-Ranking with Behavior Aware TransformersChen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul Bennett. 1589-1592 [doi]
- Towards Explainable Retrieval Models for Precision Medicine Literature SearchJiaming Qu, Jaime Arguello, Yue Wang. 1593-1596 [doi]
- Search Result Explanations Improve Efficiency and TrustJerome Ramos, Carsten Eickhoff. 1597-1600 [doi]
- Query by Example for Cross-Lingual Event RetrievalSheikh Muhammad Sarwar, James Allan. 1601-1604 [doi]
- A Test Collection for Relevance and SensitivityMahmoud F. Sayed, William Cox, Jonah Lynn Rivera, Caitlin Christian-Lamb, Modassir Iqbal, Douglas W. Oard, Katie Shilton. 1605-1608 [doi]
- A Study of Methods for the Generation of Domain-Aware Word EmbeddingsDominic Seyler, ChengXiang Zhai. 1609-1612 [doi]
- Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual AssistantsChristophe Van Gysel, Manos Tsagkias, Ernest Pusateri, Ilya Oparin. 1613-1616 [doi]
- Data Poisoning Attacks against Differentially Private Recommender SystemsSoumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan. 1617-1620 [doi]
- Immersive Search: Using Virtual Reality to Examine How a Third Dimension Impacts the Searching ProcessAustin R. Ward, Robert G. Capra. 1621-1624 [doi]
- Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical MatchVikas Yadav, Steven Bethard, Mihai Surdeanu. 1625-1628 [doi]
- Neural Concept Map Generation for Effective Document Classification with Interpretable Structured SummarizationCarl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han 0001. 1629-1632 [doi]
- A Case Study of Multi-class Classification with Diversified Precision Recall Requirements for Query DisambiguationYingrui Yang, Christopher Miller, Peng Jiang, Azadeh Moghtaderi. 1633-1636 [doi]
- A Study of Neural Matching Models for Cross-lingual IRPuxuan Yu, James Allan. 1637-1640 [doi]
- Social Media User Geolocation via Hybrid AttentionCheng Zheng, Jyun-Yu Jiang, Yichao Zhou, Sean D. Young, Wei Wang 0010. 1641-1644 [doi]
- Personalized Query SuggestionsJianling Zhong, Weiwei Guo, Huiji Gao, Bo Long. 1645-1648 [doi]
- Feature Transformation for Neural Ranking ModelsHonglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork. 1649-1652 [doi]
- MetaGen: An academic Meta-review Generation systemChaitanya Bhatia, Tribikram Pradhan, Sukomal Pal. 1653-1656 [doi]
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- DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance DomainYe Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao. 1661-1664 [doi]
- A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading ComprehensionJie Cai, Zhengzhou Zhu, Ping Nie, Qian Liu. 1665-1668 [doi]
- Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender SystemsYuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang 0001, Wei Emma Zhang. 1669-1672 [doi]
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- Re-ranking Answer Selection with Similarity AggregationDong Chen 0013, Shaoliang Peng, Kenli Li, Ying Xu, Jinling Zhang, Xiaolan Xie. 1677-1680 [doi]
- JIT2R: A Joint Framework for Item Tagging and Tag-based RecommendationXu Chen, Changying Du, Xiuqiang He, Jun Wang. 1681-1684 [doi]
- Attending to Inter-sentential Features in Neural Text ClassificationBilly Chiu, Sunil Kumar Sahu, Neha Sengupta, Derek Thomas, Mohammady Mahdy. 1685-1688 [doi]
- Retrieving Potential Causes from a Query EventSuchana Datta, Debasis Ganguly, Dwaipayan Roy, Francesca Bonin, Charles Jochim, Mandar Mitra. 1689-1692 [doi]
- Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer SummarizationYang Deng, Wenxuan Zhang, Yaliang Li, Min Yang 0007, Wai Lam, Ying Shen. 1693-1696 [doi]
- MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer PatientsJianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke, Zhao Li. 1697-1700 [doi]
- Deep Neural Matching Models for Graph RetrievalKunal Goyal, Utkarsh Gupta, Abir De, Soumen Chakrabarti. 1701-1704 [doi]
- Session-based Recommendation with Hierarchical Leaping NetworksCheng Guo, Mengfei Zhang, Jinyun Fang, Jiaqi Jin, Mao Pan. 1705-1708 [doi]
- Multi-Branch Convolutional Network for Context-Aware RecommendationWei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He. 1709-1712 [doi]
- Predicting Session Length for Product Search on E-commerce PlatformShashank Gupta 0005, Subhadeep Maji. 1713-1716 [doi]
- Dynamic Link Prediction by Integrating Node Vector Evolution and Local Neighborhood RepresentationXiaorong Hao, Tao Lian, Li Wang. 1717-1720 [doi]
- Nonintrusive-Sensing and Reinforcement-Learning Based Adaptive Personalized Music RecommendationDaocheng Hong, Yang Li, Qiwen Dong. 1721-1724 [doi]
- Residual-Duet Network with Tree Dependency Representation for Chinese Question-Answering Sentiment AnalysisGuangyi Hu, Chongyang Shi, Shufeng Hao, Yu Bai. 1725-1728 [doi]
- Neural Mathematical Solver with Enhanced Formula StructureZhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen. 1729-1732 [doi]
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- Chinese Document Classification with Bi-directional Convolutional Language ModelBin Liu, Guosheng Yin. 1785-1788 [doi]
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- GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement LearningJianfeng Liu, Feiyang Pan, Ling Luo. 1793-1796 [doi]
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- MHM: Multi-modal Clinical Data based Hierarchical Multi-label Diagnosis PredictionZhi Qiao, Zhen Zhang, Xian Wu, Shen Ge, Wei Fan 0001. 1841-1844 [doi]
- How Useful are Reviews for Recommendation? A Critical Review and Potential ImprovementsNoveen Sachdeva, Julian McAuley. 1845-1848 [doi]
- Dual Learning Algorithm for Delayed ConversionsYuta Saito, Gota Morishita, Shota Yasui. 1849-1852 [doi]
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- Relevance Transformer: Generating Concise Code Snippets with Relevance FeedbackCarlos Gemmell, Federico Rossetto, Jeffrey Dalton 0001. 2005-2008 [doi]
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- Fair Classification with Counterfactual LearningMaryam Tavakol. 2073-2076 [doi]
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- A Lightweight Environment for Learning Experimental IR Research PracticesZeynep Akkalyoncu Yilmaz, Charles L. A. Clarke, Jimmy Lin. 2113-2116 [doi]
- BRENDA: Browser Extension for Fake News DetectionBjarte Botnevik, Eirik Sakariassen, Vinay Setty. 2117-2120 [doi]
- Agent Dialogue: A Platform for Conversational Information Seeking ExperimentationAdam Czyzewski, Jeffrey Dalton 0001, Anton Leuski. 2121-2124 [doi]
- DataMirror: Reflecting on One's Data Self: A Tool for Social Media Users to Explore Their Digital FootprintsAmal Htait, Leif Azzopardi, Emma Nicol, Wendy Moncur. 2125-2128 [doi]
- Conversational Question Answering over Passages by Leveraging Word Proximity NetworksMagdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum. 2129-2132 [doi]
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- Macaw: An Extensible Conversational Information Seeking PlatformHamed Zamani, Nick Craswell. 2193-2196 [doi]
- REL: An Entity Linker Standing on the Shoulders of GiantsJohannes M. van Hulst, Faegheh Hasibi, Koen Dercksen, Krisztian Balog, Arjen P. de Vries. 2197-2200 [doi]
- GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate EstimationWentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin, Keping Yang. 2201-2210 [doi]
- A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start UsersYe Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao. 2211-2220 [doi]
- Knowledge Graph-based Event Embedding Framework for Financial Quantitative InvestmentsDawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang 0001. 2221-2230 [doi]
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