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ORCID43rd SIGIR 2020: Virtual Event, China
- Jimmy X. Huang
, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu:
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020. ACM 2020, ISBN 978-1-4503-8016-4
Keynotes and Invited Talks
- Geoffrey E. Hinton:
The Next Generation of Neural Networks. 1 - Norbert Fuhr:
Proof by Experimentation? Towards Better IR Research. 2 - Ellen M. Voorhees:
Coopetition in IR Research. 3 - Zongben Xu:
On Presuppositions of Machine Learning: A Meta Theory. 4 - Dacheng Tao:
How Deep Learning Works for Information Retrieval. 5 - Elizabeth F. Churchill:
From Information to Assistance. 6 - Rosie Jones:
The New TREC Track on Podcast Search and Summarization. 7 - Rong Jin:
Large-scale Multi-modal Search and QA at Alibaba. 8
Session 1A: NeuIR and Semantic Matching
- Hamed R. Bonab, Sheikh Muhammad Sarwar, James Allan:
Training Effective Neural CLIR by Bridging the Translation Gap. 9-18 - Yongyu Jiang, Peng Zhang, Hui Gao, Dawei Song:
A Quantum Interference Inspired Neural Matching Model for Ad-hoc Retrieval. 19-28 - Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. 29-38 - Omar Khattab, Matei Zaharia:
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT. 39-48 - Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. 49-58 - Ali Montazeralghaem, Hamed Zamani, James Allan:
A Reinforcement Learning Framework for Relevance Feedback. 59-68
Session 1B: Knowledge and Explainability
- Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo:
Fairness-Aware Explainable Recommendation over Knowledge Graphs. 69-78 - Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu:
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. 79-88 - Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. 89-98 - Chang-You Tai, Meng-Ru Wu, Yun-Wei Chu, Shao-Yu Chu, Lun-Wei Ku:
MVIN: Learning Multiview Items for Recommendation. 99-108 - Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma:
Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. 109-118 - Yongzhen Wang, Jian Wang, Heng Huang, Hongsong Li, Xiaozhong Liu:
Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior. 119-128
Session 1C: Graph-based Analysis
- Zan Gao, Yin-Ming Li, Weili Guan, Weizhi Nie, Zhiyong Cheng, Anan Liu:
Pairwise View Weighted Graph Network for View-based 3D Model Retrieval. 129-138 - Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu:
Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning. 139-148 - Wentao Huang, Yuchen Li, Yuan Fang, Ju Fan, Hongxia Yang:
BiANE: Bipartite Attributed Network Embedding. 149-158 - Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua:
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. 159-168 - Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xianling Mao, Minghui Qiu:
Global Context Enhanced Graph Neural Networks for Session-based Recommendation. 169-178 - Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. 179-188
Session 2A: Knowledge for Personalization
- Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma:
Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation. 189-198 - Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li:
AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. 199-208 - Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy X. Huang:
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation. 209-218 - Ze Wang, Guangyan Lin, Huobin Tan, Qinghong Chen, Xiyang Liu:
CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems. 219-228 - Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. 229-238 - Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie:
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. 239-248 - Jianming Zheng, Fei Cai, Honghui Chen:
Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation. 249-258
Session 2B: User Behavior and Experience
- Gregory Goren, Oren Kurland, Moshe Tennenholtz, Fiana Raiber:
Ranking-Incentivized Quality Preserving Content Modification. 259-268 - Lei Han, Tianwa Chen, Gianluca Demartini, Marta Indulska, Shazia W. Sadiq:
On Understanding Data Worker Interaction Behaviors. 269-278 - Guoxiu He, Yangyang Kang, Zhuoren Jiang, Jiawei Liu, Changlong Sun, Xiaozhong Liu, Wei Lu:
Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention. 279-288 - Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie:
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. 289-298 - Zuzana Pinkosova, William J. McGeown, Yashar Moshfeghi:
The Cortical Activity of Graded Relevance. 299-308 - Yuta Saito:
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback. 309-318 - Shaoyun Shi, Weizhi Ma, Min Zhang, Yongfeng Zhang, Xinxing Yu, Houzhi Shan, Yiqun Liu, Shaoping Ma:
Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation. 319-328
Session 2C: Evaluation
- Krisztian Balog, Filip Radlinski:
Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. 329-338 - Rodger Benham, Ben Carterette, J. Shane Culpepper, Alistair Moffat:
Bayesian Inferential Risk Evaluation On Multiple IR Systems. 339-348 - Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff:
How to Measure the Reproducibility of System-oriented IR Experiments. 349-358 - Tetsuya Sakai, Zhaohao Zeng:
Good Evaluation Measures based on Document Preferences. 359-368 - Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Haitian Chen, Min Zhang, Shaoping Ma:
Preference-based Evaluation Metrics for Web Image Search. 369-378 - Fan Zhang, Jiaxin Mao, Yiqun Liu, Xiaohui Xie, Weizhi Ma, Min Zhang, Shaoping Ma:
Models Versus Satisfaction: Towards a Better Understanding of Evaluation Metrics. 379-388 - Fan Zhang, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Min Zhang, Shaoping Ma:
Cascade or Recency: Constructing Better Evaluation Metrics for Session Search. 389-398
Session 3A: Bias and Fairness
- Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck:
Operationalizing the Legal Principle of Data Minimization for Personalization. 399-408 - Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang:
Learning Personalized Risk Preferences for Recommendation. 409-418 - Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng:
Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. 419-428 - Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims:
Controlling Fairness and Bias in Dynamic Learning-to-Rank. 429-438 - Kevin Roitero, Michael Soprano, Shaoyang Fan, Damiano Spina, Stefano Mizzaro, Gianluca Demartini:
Can The Crowd Identify Misinformation Objectively?: The Effects of Judgment Scale and Assessor's Background. 439-448 - Ziwei Zhu, Jianling Wang, James Caverlee:
Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems. 449-458
Session 3B: Learning to Rank
- Erik Faessler, Michel Oleynik, Udo Hahn:
What Makes a Top-Performing Precision Medicine Search Engine?: Tracing Main System Features in a Systematic Way. 459-468 - Rolf Jagerman, Maarten de Rijke:
Accelerated Convergence for Counterfactual Learning to Rank. 469-478 - Jiongnan Liu, Zhicheng Dou, Xiaojie Wang, Shuqi Lu, Ji-Rong Wen:
DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. 479-488 - Harrie Oosterhuis, Maarten de Rijke:
Policy-Aware Unbiased Learning to Rank for Top-k Rankings. 489-498 - Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. 499-508 - Jun Xu, Zeng Wei, Long Xia, Yanyan Lan, Dawei Yin, Xueqi Cheng, Ji-Rong Wen:
Reinforcement Learning to Rank with Pairwise Policy Gradient. 509-518
Session 3C: Question Answering
- Yftah Ziser, Elad Kravi, David Carmel:
Humor Detection in Product Question Answering Systems. 519-528 - Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Training Curricula for Open Domain Answer Re-Ranking. 529-538 - Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer:
Open-Retrieval Conversational Question Answering. 539-548 - Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He:
Learning to Ask Screening Questions for Job Postings. 549-558 - Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang:
Match²: A Matching over Matching Model for Similar Question Identification. 559-568 - Wenxuan Zhang, Yang Deng, Wai Lam:
Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling. 569-578
Session 4A: Query and Representation
- Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng:
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. 579-588 - Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison:
Table Search Using a Deep Contextualized Language Model. 589-598 - Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng:
Convolutional Embedding for Edit Distance. 599-608 - Yeon-Chang Lee, Nayoun Seo, Kyungsik Han, Sang-Wook Kim:
ASiNE: Adversarial Signed Network Embedding. 609-618 - Ye Yuan, Delong Ma, Zhenyu Wen, Yuliang Ma, Guoren Wang, Lei Chen:
Efficient Graph Query Processing over Geo-Distributed Datacenters. 619-628 - Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong:
Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. 629-638
Session 4B: Graph-based Recommendation
- Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yong-Dong Zhang, Meng Wang:
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. 639-648 - Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang:
GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation. 649-658 - Bowen Jin, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Multi-behavior Recommendation with Graph Convolutional Networks. 659-668 - Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen:
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. 669-678 - Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang:
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. 679-688 - Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. 689-698
Session 4C: Neural Networks and Embedding
- Anjie Fang, Simone Filice, Nut Limsopatham, Oleg Rokhlenko:
Using Phoneme Representations to Build Predictive Models Robust to ASR Errors. 699-708 - Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen:
Knowledge Enhanced Personalized Search. 709-718 - Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin:
Streaming Graph Neural Networks. 719-728 - Srishti Palani, Adam Fourney, Shane Williams, Kevin Larson, Irina Spiridonova, Meredith Ringel Morris:
An Eye Tracking Study of Web Search by People With and Without Dyslexia. 729-738 - Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis:
DGL-KE: Training Knowledge Graph Embeddings at Scale. 739-748 - Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, Dawei Yin:
Neural Interactive Collaborative Filtering. 749-758
Session 5A: Domain Specific Applications 1
- Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie:
Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. 771-780 - Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong:
Spatial Object Recommendation with Hints: When Spatial Granularity Matters. 781-790 - Hen Tzaban, Ido Guy, Asnat Greenstein-Messica, Arnon Dagan, Lior Rokach, Bracha Shapira:
Product Bundle Identification using Semi-Supervised Learning. 791-800 - Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma, Maarten de Rijke:
Coding Electronic Health Records with Adversarial Reinforcement Path Generation. 801-810 - Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan:
Degree-Aware Alignment for Entities in Tail. 811-820 - Yingying Zhu, Biao Li, Jiong Wang, Zhou Zhao:
Regional Relation Modeling for Visual Place Recognition. 821-830
Session 5B: Learning for Recommendation
- Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. 831-840 - Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson:
Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. 841-850 - Nikhil Pattisapu, Nishant Prabhu, Smriti Bhati, Vasudeva Varma:
Leveraging Social Media for Medical Text Simplification. 851-860 - Wenhui Yu, Zheng Qin:
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning. 861-870 - Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan:
MaHRL: Multi-goals Abstraction Based Deep Hierarchical Reinforcement Learning for Recommendations. 871-880 - Jie Zou, Yifan Chen, Evangelos Kanoulas:
Towards Question-based Recommender Systems. 881-890
Session 5C: Information Access and Filtering
- Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang:
Try This Instead: Personalized and Interpretable Substitute Recommendation. 891-900 - Longtao Huang, Bo Yuan, Rong Zhang, Quan Lu:
Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce. 901-910 - Haidong Rong, Yangzihao Wang, Feihu Zhou, Junjie Zhai, Haiyang Wu, Rui Lan, Fan Li, Han Zhang, Yuekui Yang, Zhenyu Guo, Di Wang:
Distributed Equivalent Substitution Training for Large-Scale Recommender Systems. 911-920 - Nikos Voskarides, Dan Li, Pengjie Ren, Evangelos Kanoulas, Maarten de Rijke:
Query Resolution for Conversational Search with Limited Supervision. 921-930 - Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Self-Supervised Reinforcement Learning for Recommender Systems. 931-940 - Xin Yang, Xuemeng Song, Xianjing Han, Haokun Wen, Jie Nie, Liqiang Nie:
Generative Attribute Manipulation Scheme for Flexible Fashion Search. 941-950
Session 6A: Neural Collaborative Filtering 1
- Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Felice Antonio Merra:
How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models. 951-960 - Chen Gao, Chao Huang, Dongsheng Lin, Depeng Jin, Yong Li:
DPLCF: Differentially Private Local Collaborative Filtering. 961-970 - Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Content-aware Neural Hashing for Cold-start Recommendation. 971-980 - Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng:
Meta Matrix Factorization for Federated Rating Predictions. 981-990 - Tobias Schnabel, Saleema Amershi, Paul N. Bennett, Peter Bailey, Thorsten Joachims:
The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation. 991-1000 - Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. 1001-1010
Session 6B: Domain Specific Applications 2
- Yue Cao, Hanqi Jin, Xiaojun Wan, Zhiwei Yu:
Domain-Adaptive Neural Automated Essay Scoring. 1011-1020 - Parisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee:
ADORE: Aspect Dependent Online REview Labeling for Review Generation. 1021-1030 - Omar Khattab, Mohammad Hammoud, Tamer Elsayed:
Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval. 1031-1040 - Zahra Nazari, Christophe Charbuillet, Johan Pages, Martin Laurent, Denis Charrier, Briana Vecchione, Ben Carterette:
Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste. 1041-1050 - Kai Shu, Subhabrata Mukherjee, Guoqing Zheng, Ahmed Hassan Awadallah, Milad Shokouhi, Susan T. Dumais:
Learning with Weak Supervision for Email Intent Detection. 1051-1060 - Jingkuan Song, Ruimin Lang, Xiaosu Zhu, Xing Xu, Lianli Gao, Heng Tao Shen:
3D Self-Attention for Unsupervised Video Quantization. 1061-1070
Session 6C: Context-aware Modeling
- Haoji Hu, Xiangnan He, Jinyang Gao, Zhi-Li Zhang:
Modeling Personalized Item Frequency Information for Next-basket Recommendation. 1071-1080 - Adit Krishnan, Mahashweta Das, Mangesh Bendre, Hao Yang, Hari Sundaram:
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation. 1081-1090 - Wenjing Meng, Deqing Yang, Yanghua Xiao:
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation. 1091-1100 - Jianling Wang, Kaize Ding, Liangjie Hong, Huan Liu, James Caverlee:
Next-item Recommendation with Sequential Hypergraphs. 1101-1110 - Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Encoding History with Context-aware Representation Learning for Personalized Search. 1111-1120 - Ziwei Zhu, Shahin Sefati, Parsa Saadatpanah, James Caverlee:
Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation. 1121-1130
Session 7A: Conversation and Interactive IR
- Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search. 1131-1140 - Jiqun Liu, Fangyuan Han:
Investigating Reference Dependence Effects on User Search Interaction and Satisfaction: A Behavioral Economics Perspective. 1141-1150 - Chuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, Maarten de Rijke:
DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. 1151-1160 - Lisong Qiu, Yingwai Shiu, Pingping Lin, Ruihua Song, Yue Liu, Dongyan Zhao, Rui Yan:
What If Bots Feel Moods? 1161-1170 - Paul Thomas, Daniel McDuff, Mary Czerwinski, Nick Craswell:
Expressions of Style in Information Seeking Conversation with an Agent. 1171-1180 - Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais:
Analyzing and Learning from User Interactions for Search Clarification. 1181-1190
Session 7B: Text Classification and Transfer Learning
- Hou Pong Chan, Wang Chen, Irwin King:
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss. 1191-1200 - Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua:
Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. 1201-1210 - Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. 1211-1220 - Rongting Zhang, Jie Yang:
Web-to-Voice Transfer for Product Recommendation on Voice. 1221-1230 - Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. 1231-1240 - Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han:
Joint Aspect-Sentiment Analysis with Minimal User Guidance. 1241-1250
Session 7C: Neural Collaborative Filtering 2
- Dong-Kyu Chae, Jihoo Kim, Duen Horng Chau, Sang-Wook Kim:
AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems. 1251-1260 - Fanglin Chen, Xiao Liu, Davide Proserpio, Isamar Troncoso, Feiyu Xiong:
Studying Product Competition Using Representation Learning. 1261-1268 - Kai Luo, Hojin Yang, Ga Wu, Scott Sanner:
Deep Critiquing for VAE-based Recommender Systems. 1269-1278 - Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram:
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. 1279-1288 - Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates:
Neighbor Interaction Aware Graph Convolution Networks for Recommendation. 1289-1298 - Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, Duo Liu:
A Generic Network Compression Framework for Sequential Recommender Systems. 1299-1308
Session 8A: Domain Specific Retrieval Tasks
- Ioannis Arapakis, Luis A. Leiva:
Learning Efficient Representations of Mouse Movements to Predict User Attention. 1309-1318 - Sharon Hirsch, Ido Guy, Alexander Nus, Arnon Dagan, Oren Kurland:
Query Reformulation in E-Commerce Search. 1319-1328 - Antti Ukkonen, Pyry Joona, Tuukka Ruotsalo:
Generating Images Instead of Retrieving Them: Relevance Feedback on Generative Adversarial Networks. 1329-1338 - Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua:
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. 1339-1348 - Zhan Yang, Jun Long, Lei Zhu, Wenti Huang:
Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval. 1349-1358 - Jing Yao, Zhicheng Dou, Ji-Rong Wen:
Employing Personal Word Embeddings for Personalized Search. 1359-1368
Session 8B: Multi-modal Retrieval and Ranking
- Iftah Gamzu, Marina Haikin, Nissim Halabi:
Query Rewriting for Voice Shopping Null Queries. 1369-1378 - Song Liu, Shengsheng Qian, Yang Guan, Jiawei Zhan, Long Ying:
Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval. 1379-1388 - Paridhi Maheshwari, Manoj Ghuhan, Vishwa Vinay:
Learning Colour Representations of Search Queries. 1389-1398 - Roee Shraga, Haggai Roitman, Guy Feigenblat, Mustafa Canim:
Web Table Retrieval using Multimodal Deep Learning. 1399-1408 - Di Wang, Quan Wang, Yaqiang An, Xinbo Gao, Yumin Tian:
Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval. 1409-1418 - Xing Xu, Kaiyi Lin, Huimin Lu, Lianli Gao, Heng Tao Shen:
Correlated Features Synthesis and Alignment for Zero-shot Cross-modal Retrieval. 1419-1428
Session 8C: Sequential Recommendation
- Shanshan Feng, Lucas Vinh Tran, Gao Cong, Lisi Chen, Jing Li, Fan Li:
HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation. 1429-1438 - Leilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv:
Dual Sequential Network for Temporal Sets Prediction. 1439-1448 - Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. 1449-1458 - Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin:
Time Matters: Sequential Recommendation with Complex Temporal Information. 1459-1468 - Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang:
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. 1469-1478 - Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang:
How to Retrain Recommender System?: A Sequential Meta-Learning Method. 1479-1488
Short Research Papers I
- Karan Aggarwal, Georgios Theocharous, Anup B. Rao:
Dynamic Clustering with Discrete Time Event Prediction. 1501-1504 - Ameeta Agrawal, Aijun An, Manos Papagelis:
Leveraging Transitions of Emotions for Sarcasm Detection. 1505-1508 - Ali Ahmadvand, Surya Kallumadi, Faizan Javed, Eugene Agichtein:
JointMap: Joint Query Intent Understanding For Modeling Intent Hierarchies in E-commerce Search. 1509-1512 - Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Andrew Tomkins:
Choppy: Cut Transformer for Ranked List Truncation. 1513-1516 - Chetan Bansal, Pantazis Deligiannis, Chandra Shekhar Maddila, Nikitha Rao:
Studying Ransomware Attacks Using Web Search Logs. 1517-1520 - Keping Bi, Qingyao Ai, W. Bruce Croft:
A Transformer-based Embedding Model for Personalized Product Search. 1521-1524 - Limin Chen, Zhiwen Tang, Grace Hui Yang:
Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval. 1525-1528 - Xiang Chen, Saayan Mitra, Viswanathan Swaminathan:
Metadata Matters in User Engagement Prediction. 1529-1532 - Zhuyun Dai, Jamie Callan:
Context-Aware Term Weighting For First Stage Passage Retrieval. 1533-1536 - Shuo Zhang, Zhuyun Dai, Krisztian Balog, Jamie Callan:
Summarizing and Exploring Tabular Data in Conversational Search. 1537-1540 - Xin Dong, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen Yang, Gerard de Melo:
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification. 1541-1544 - Jiepu Jiang, Naman Ahuja:
Response Quality in Human-Chatbot Collaborative Systems. 1545-1548 - Daniel King, Doug Downey, Daniel S. Weld:
High-Precision Extraction of Emerging Concepts from Scientific Literature. 1549-1552 - Dingcheng Li, Xu Li, Jun Wang, Ping Li:
Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic. 1553-1556 - Wenyan Li, Ferhan Türe:
Auto-annotation for Voice-enabled Entertainment Systems. 1557-1560 - Xukun Li, Doina Caragea:
Domain Adaptation with Reconstruction for Disaster Tweet Classification. 1561-1564 - Yen-Chieh Lien, Hamed Zamani, W. Bruce Croft:
Recipe Retrieval with Visual Query of Ingredients. 1565-1568 - Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng:
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. 1569-1572 - Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. 1573-1576 - Yoshitomo Matsubara, Thuy Vu, Alessandro Moschitti:
Reranking for Efficient Transformer-based Answer Selection. 1577-1580 - Suraj Nair, Petra Galuscáková, Douglas W. Oard:
Combining Contextualized and Non-contextualized Query Translations to Improve CLIR. 1581-1584 - Elnaz Nouri, Robert Sim, Adam Fourney, Ryen W. White:
Proactive Suggestion Generation: Data and Methods for Stepwise Task Assistance. 1585-1588 - Chen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul N. Bennett:
Contextual Re-Ranking with Behavior Aware Transformers. 1589-1592 - Jiaming Qu, Jaime Arguello, Yue Wang:
Towards Explainable Retrieval Models for Precision Medicine Literature Search. 1593-1596 - Jerome Ramos, Carsten Eickhoff:
Search Result Explanations Improve Efficiency and Trust. 1597-1600 - Sheikh Muhammad Sarwar, James Allan:
Query by Example for Cross-Lingual Event Retrieval. 1601-1604 - Mahmoud F. Sayed, William Cox, Jonah Lynn Rivera, Caitlin Christian-Lamb, Modassir Iqbal, Douglas W. Oard, Katie Shilton:
A Test Collection for Relevance and Sensitivity. 1605-1608 - Dominic Seyler, ChengXiang Zhai:
A Study of Methods for the Generation of Domain-Aware Word Embeddings. 1609-1612 - Christophe Van Gysel, Manos Tsagkias, Ernest Pusateri, Ilya Oparin:
Predicting Entity Popularity to Improve Spoken Entity Recognition by Virtual Assistants. 1613-1616 - Soumya Wadhwa, Saurabh Agrawal, Harsh Chaudhari, Deepthi Sharma, Kannan Achan:
Data Poisoning Attacks against Differentially Private Recommender Systems. 1617-1620 - Austin R. Ward, Robert G. Capra:
Immersive Search: Using Virtual Reality to Examine How a Third Dimension Impacts the Searching Process. 1621-1624 - Vikas Yadav, Steven Bethard, Mihai Surdeanu:
Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match. 1625-1628 - Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han:
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. 1629-1632 - Yingrui Yang, Christopher Miller, Peng Jiang, Azadeh Moghtaderi:
A Case Study of Multi-class Classification with Diversified Precision Recall Requirements for Query Disambiguation. 1633-1636 - Puxuan Yu, James Allan:
A Study of Neural Matching Models for Cross-lingual IR. 1637-1640 - Cheng Zheng, Jyun-Yu Jiang, Yichao Zhou, Sean D. Young, Wei Wang:
Social Media User Geolocation via Hybrid Attention. 1641-1644 - Jianling Zhong, Weiwei Guo, Huiji Gao, Bo Long:
Personalized Query Suggestions. 1645-1648 - Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Feature Transformation for Neural Ranking Models. 1649-1652 - Chaitanya Bhatia, Tribikram Pradhan, Sukomal Pal:
MetaGen: An academic Meta-review Generation system. 1653-1656 - Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh:
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity. 1657-1660 - Ye Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain. 1661-1664 - Jie Cai, Zhengzhou Zhu, Ping Nie, Qian Liu:
A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension. 1665-1668 - Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang:
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. 1669-1672 - Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Bundle Recommendation with Graph Convolutional Networks. 1673-1676 - Dong Chen, Shaoliang Peng, Kenli Li, Ying Xu, Jinling Zhang, Xiaolan Xie:
Re-ranking Answer Selection with Similarity Aggregation. 1677-1680 - Xu Chen, Changying Du, Xiuqiang He, Jun Wang:
JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. 1681-1684 - Billy Chiu, Sunil Kumar Sahu, Neha Sengupta, Derek Thomas, Mohammady Mahdy:
Attending to Inter-sentential Features in Neural Text Classification. 1685-1688 - Suchana Datta, Debasis Ganguly, Dwaipayan Roy, Francesca Bonin, Charles Jochim, Mandar Mitra:
Retrieving Potential Causes from a Query Event. 1689-1692 - Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. 1693-1696 - Jianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke, Zhao Li:
MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients. 1697-1700 - Kunal Goyal, Utkarsh Gupta, Abir De, Soumen Chakrabarti:
Deep Neural Matching Models for Graph Retrieval. 1701-1704 - Cheng Guo, Mengfei Zhang, Jinyun Fang, Jiaqi Jin, Mao Pan:
Session-based Recommendation with Hierarchical Leaping Networks. 1705-1708 - Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He:
Multi-Branch Convolutional Network for Context-Aware Recommendation. 1709-1712 - Shashank Gupta, Subhadeep Maji:
Predicting Session Length for Product Search on E-commerce Platform. 1713-1716 - Xiaorong Hao, Tao Lian, Li Wang:
Dynamic Link Prediction by Integrating Node Vector Evolution and Local Neighborhood Representation. 1717-1720 - Daocheng Hong, Yang Li, Qiwen Dong:
Nonintrusive-Sensing and Reinforcement-Learning Based Adaptive Personalized Music Recommendation. 1721-1724 - Guangyi Hu, Chongyang Shi, Shufeng Hao, Yu Bai:
Residual-Duet Network with Tree Dependency Representation for Chinese Question-Answering Sentiment Analysis. 1725-1728 - Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen:
Neural Mathematical Solver with Enhanced Formula Structure. 1729-1732 - Hamish Huggard, Yun Sing Koh, Gillian Dobbie, Edmond Zhang:
Detecting Concept Drift In Medical Triage. 1733-1736 - Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang:
Evidence Weighted Tree Ensembles for Text Classification. 1737-1740 - Arnav Kumar Jain, Gundeep Arora, Rahul Agrawal:
Graph Regularization for Multi-lingual Topic Models. 1741-1744 - Anubhav Jangra, Sriparna Saha, Adam Jatowt, Mohammad Hasanuzzaman:
Multi-Modal Summary Generation using Multi-Objective Optimization. 1745-1748 - Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. 1749-1752 - Harsh Kohli:
Training Mixed-Objective Pointing Decoders for Block-Level Optimization in Search Recommendation. 1753-1756 - Yu Lei, Hongbin Pei, Hanqi Yan, Wenjie Li:
Reinforcement Learning based Recommendation with Graph Convolutional Q-network. 1757-1760 - Jiyi Li:
Crowdsourced Text Sequence Aggregation based on Hybrid Reliability and Representation. 1761-1764 - Shihao Li, Dekun Yang, Bufeng Zhang:
MRIF: Multi-resolution Interest Fusion for Recommendation. 1765-1768 - Tingting Liang, Congying Xia, Yuyu Yin, Philip S. Yu:
Joint Training Capsule Network for Cold Start Recommendation. 1769-1772 - Lihui Lin, Hongyu Jiang, Yanghui Rao:
Copula Guided Neural Topic Modelling for Short Texts. 1773-1776 - Xinshi Lin, Wai Lam:
Soft Kernel-based Ranking on a Statistical Manifold. 1777-1780 - Ao Liu, Shuai Yuan, Chenbin Zhang, Congjian Luo, Yaqing Liao, Kun Bai, Zenglin Xu:
Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension. 1781-1784 - Bin Liu, Guosheng Yin:
Chinese Document Classification with Bi-directional Convolutional Language Model. 1785-1788 - Hongtao Liu, Wenjun Wang, Hongyan Xu, Qiyao Peng, Pengfei Jiao:
Neural Unified Review Recommendation with Cross Attention. 1789-1792 - Jianfeng Liu, Feiyang Pan, Ling Luo:
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. 1793-1796 - Jingping Liu, Yanghua Xiao, Ao Wang, Liang He, Bin Shao:
CapableOf Reasoning: A Step Towards Commonsense Oracle. 1797-1800 - Pei-Chi Lo, Ee-Peng Lim:
Interactive Entity Linking Using Entity-Word Representations. 1801-1804 - Junyu Lu, Xiancong Ren, Yazhou Ren, Ao Liu, Zenglin Xu:
Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation. 1805-1808
Short Research Papers II
- Lingjuan Lyu, Chi-Hua Chen:
Differentially Private Knowledge Distillation for Mobile Analytics. 1809-1812 - Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao:
Towards Differentially Private Text Representations. 1813-1816 - Changyi Ma, Chonglin Gu, Wenye Li, Shuguang Cui:
Large-scale Image Retrieval with Sparse Binary Projections. 1817-1820 - Joel M. Mackenzie, Zhuyun Dai, Luke Gallagher, Jamie Callan:
Efficiency Implications of Term Weighting for Passage Retrieval. 1821-1824 - Rajdeep Mukherjee, Hari Chandana Peruri, Uppada Vishnu, Pawan Goyal, Sourangshu Bhattacharya, Niloy Ganguly:
Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews. 1825-1828 - Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. 1829-1832 - Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke:
An Intent-guided Collaborative Machine for Session-based Recommendation. 1833-1836 - Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke:
Rethinking Item Importance in Session-based Recommendation. 1837-1840 - Zhi Qiao, Zhen Zhang, Xian Wu, Shen Ge, Wei Fan:
MHM: Multi-modal Clinical Data based Hierarchical Multi-label Diagnosis Prediction. 1841-1844 - Noveen Sachdeva, Julian J. McAuley:
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. 1845-1848 - Yuta Saito, Gota Morishita, Shota Yasui:
Dual Learning Algorithm for Delayed Conversions. 1849-1852 - Liam Scanlon, Shiwei Zhang, Xiuzhen Zhang, Mark Sanderson:
Evaluation of Cross Domain Text Summarization. 1853-1856 - Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang:
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. 1857-1860 - Yunzhou Shi, Zhiling Luo, Pengcheng Zhu, Feng Ji, Wei Zhou, Haiqing Chen, Yujiu Yang:
G2T: Generating Fluent Descriptions for Knowledge Graph. 1861-1864 - Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan:
Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection. 1865-1868 - Riku Togashi, Tetsuya Sakai:
Visual Intents vs. Clicks, Likes, and Purchases in E-commerce. 1869-1872 - T. Y. S. S. Santosh, Avirup Saha, Niloy Ganguly:
MVL: Multi-View Learning for News Recommendation. 1873-1876 - Kosetsu Tsukuda, Masataka Goto:
Query/Task Satisfaction and Grid-based Evaluation Metrics Under Different Image Search Intents. 1877-1880 - Rui Wang, Xin Liu, Yiu-ming Cheung, Kai Cheng, Nannan Wang, Wentao Fan:
Learning Discriminative Joint Embeddings for Efficient Face and Voice Association. 1881-1884 - Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang:
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. 1885-1888 - Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Investigating Reading Behavior in Fine-grained Relevance Judgment. 1889-1892 - Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He:
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. 1893-1896 - Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. 1897-1900 - Weidi Xu, Xingyi Cheng, Kunlong Chen, Taifeng Wang:
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. 1901-1904 - Weinan Xu, Hengxu He, Minshi Tan, Yunming Li, Jun Lang, Dongbai Guo:
Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction. 1905-1908 - Deqing Yang, Zengchun Song, Lvxin Xue, Yanghua Xiao:
A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention. 1909-1912 - Min Yang, Ying Shen, Xiaojun Chen, Chengming Li:
Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. 1913-1916 - Zhengyu Yang, Jian Shen, Yunfei Liu, Yang Yang, Weinan Zhang, Yong Yu:
TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition. 1917-1920 - Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. 1921-1924 - Hang Yu, Lester Litchfield:
Query Classification with Multi-objective Backoff Optimization. 1925-1928 - Jiangxing Yu, Hong Zhu, Chih-Yao Chang, Xinhua Feng, Bo-Wen Yuan, Xiuqiang He, Zhenhua Dong:
Influence Function for Unbiased Recommendation. 1929-1932 - Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu:
Few-Shot Generative Conversational Query Rewriting. 1933-1936 - Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin:
User-Inspired Posterior Network for Recommendation Reason Generation. 1937-1940 - Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
An Analysis of BERT in Document Ranking. 1941-1944 - Chenbin Zhang, Congjian Luo, Junyu Lu, Ao Liu, Bing Bai, Kun Bai, Zenglin Xu:
Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process. 1945-1948 - Jinming Zhao, Ming Liu, Longxiang Gao, Yuan Jin, Lan Du, He Zhao, He Zhang, Gholamreza Haffari:
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression. 1949-1952 - Xiaoyan Zhao, Min Yang, Qiang Qu, Yang Sun:
Improving Neural Chinese Word Segmentation with Lexicon-enhanced Adaptive Attention. 1953-1956 - Lin Zheng, Naicheng Guo, Weihao Chen, Jin Yu, Dazhi Jiang:
Sentiment-guided Sequential Recommendation. 1957-1960 - Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng:
L2R²: Leveraging Ranking for Abductive Reasoning. 1961-1964 - Areej Alokaili, Nikolaos Aletras, Mark Stevenson:
Automatic Generation of Topic Labels. 1965-1968 - Milad Alshomary, Nick Düsterhus, Henning Wachsmuth:
Extractive Snippet Generation for Arguments. 1969-1972 - Hélder Antunes, Carla Teixeira Lopes:
Proposal and Comparison of Health Specific Features for the Automatic Assessment of Readability. 1973-1976 - Lila Boualili, José G. Moreno, Mohand Boughanem:
MarkedBERT: Integrating Traditional IR Cues in Pre-trained Language Models for Passage Retrieval. 1977-1980 - Anirban Chakraborty, Debasis Ganguly, Owen Conlan:
Relevance Models for Multi-Contextual Appropriateness in Point-of-Interest Recommendation. 1981-1984 - Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan:
CAsT-19: A Dataset for Conversational Information Seeking. 1985-1988 - Olivia Foulds, Alessandro Suglia, Leif Azzopardi, Martin Halvey:
Predicting Perceptual Speed from Search Behaviour. 1989-1992 - Jibril Frej, Philippe Mulhem, Didier Schwab, Jean-Pierre Chevallet:
Learning Term Discrimination. 1993-1996 - Maik Fröbe, Janek Bevendorff, Jan Heinrich Reimer, Martin Potthast, Matthias Hagen:
Sampling Bias Due to Near-Duplicates in Learning to Rank. 1997-2000 - Lu Gan, Diana Nurbakova, Léa Laporte, Sylvie Calabretto:
Enhancing Recommendation Diversity using Determinantal Point Processes on Knowledge Graphs. 2001-2004 - Carlos Gemmell, Federico Rossetto, Jeffrey Dalton:
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback. 2005-2008 - Casper Hansen, Christian Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Semantic Hashing with Pairwise Reconstruction. 2009-2012 - Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Birger Larsen, Stephen Alstrup, Christina Lioma:
Factuality Checking in News Headlines with Eye Tracking. 2013-2016 - Maram Hasanain, Yassmine Barkallah, Reem Suwaileh, Mücahid Kutlu, Tamer Elsayed:
ArTest: The First Test Collection for Arabic Web Search with Relevance Rationales. 2017-2020 - Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. 2021-2024 - Amir Hossein Jadidinejad, Craig Macdonald, Iadh Ounis:
Using Exploration to Alleviate Closed Loop Effects in Recommender Systems. 2025-2028 - Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng:
A Heterogeneous Graph Neural Model for Cold-start Recommendation. 2029-2032 - Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Query-level Early Exit for Additive Learning-to-Rank Ensembles. 2033-2036 - Luis Lugo, José G. Moreno, Gilles Hubert:
Segmenting Search Query Logs by Learning to Detect Search Task Boundaries. 2037-2040 - Luis Lugo, José G. Moreno, Gilles Hubert:
A Multilingual Approach for Unsupervised Search Task Identification. 2041-2044 - Jarana Manotumruksa, Emine Yilmaz:
Sequential-based Adversarial Optimisation for Personalised Top-N Item Recommendation. 2045-2048 - Jarana Manotumruksa, Jeff Dalton, Edgar Meij, Emine Yilmaz:
CrossBERT: A Triplet Neural Architecture for Ranking Entity Properties. 2049-2052 - Graham McDonald, Craig Macdonald, Iadh Ounis:
Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. 2053-2056 - Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Topic Propagation in Conversational Search. 2057-2060 - Guilherme Ramos, Ludovico Boratto:
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities. 2061-2064 - Navid Rekabsaz, Markus Schedl:
Do Neural Ranking Models Intensify Gender Bias? 2065-2068 - Procheta Sen, Debasis Ganguly, Manisha Verma, Gareth J. F. Jones:
The Curious Case of IR Explainability: Explaining Document Scores within and across Ranking Models. 2069-2072 - Maryam Tavakol:
Fair Classification with Counterfactual Learning. 2073-2076 - Thibaut Thonet, Jean-Michel Renders:
Multi-grouping Robust Fair Ranking. 2077-2080 - Amir Vakili Tahami, Kamyar Ghajar, Azadeh Shakery:
Distilling Knowledge for Fast Retrieval-based Chat-bots. 2081-2084 - Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke:
An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. 2085-2088 - Ali Vardasbi, Maarten de Rijke, Ilya Markov:
Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. 2089-2092 - Ziv Vasilisky, Moshe Tennenholtz, Oren Kurland:
Studying Ranking-Incentivized Web Dynamics. 2093-2096 - Dominik Wurzer, Yumeng Qin:
How UMass-FSD Inadvertently Leverages Temporal Bias. 2097-2100 - Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. 2101-2104 - Eyup Halit Yilmaz, Cagri Toraman:
KLOOS: KL Divergence-based Out-of-Scope Intent Detection in Human-to-Machine Conversations. 2105-2108 - Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury:
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. 2109-2112
Demonstration Papers I
- Zeynep Akkalyoncu Yilmaz, Charles L. A. Clarke, Jimmy Lin:
A Lightweight Environment for Learning Experimental IR Research Practices. 2113-2116 - Bjarte Botnevik, Eirik Sakariassen, Vinay Setty:
BRENDA: Browser Extension for Fake News Detection. 2117-2120 - Adam Czyzewski, Jeffrey Dalton, Anton Leuski:
Agent Dialogue: A Platform for Conversational Information Seeking Experimentation. 2121-2124 - Amal Htait, Leif Azzopardi, Emma Nicol, Wendy Moncur:
DataMirror: Reflecting on One's Data Self: A Tool for Social Media Users to Explore Their Digital Footprints. 2125-2128 - Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum:
Conversational Question Answering over Passages by Leveraging Word Proximity Networks. 2129-2132 - Saar Kuzi, ChengXiang Zhai, Yin Tian, Haichuan Tang:
FigExplorer: A System for Retrieval and Exploration of Figures from Collections of Research Articles. 2133-2136 - Dan Li, Panagiotis Zafeiriadis, Evangelos Kanoulas:
APS: An Active PubMed Search System for Technology Assisted Reviews. 2137-2140 - Hang Li, Harrisen Scells, Guido Zuccon:
Systematic Review Automation Tools for End-to-End Query Formulation. 2141-2144 - Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He:
Deep Job Understanding at LinkedIn. 2145-2148 - Jimmy Lin, Joel M. Mackenzie, Chris Kamphuis, Craig Macdonald, Antonio Mallia, Michal Siedlaczek, Andrew Trotman, Arjen P. de Vries:
Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format. 2149-2152 - Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia:
Web of Scholars: A Scholar Knowledge Graph. 2153-2156
Demonstration Papers II
- Zhiqiang Ma, Steven Pomerville, Mingyang Di, Armineh Nourbakhsh:
SPot: A Tool for Identifying Operating Segments in Financial Tables. 2157-2160 - Hitarth Narvala, Graham McDonald, Iadh Ounis:
Receptor: A Platform for Exploring Latent Relations in Sensitive Documents. 2161-2164 - Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Quang Huy Nguyen, Quoc Viet Hung Nguyen:
FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort. 2165-2168 - Yunseok Noh, Yongmin Shin, Junmo Park, A.-Yeong Kim, Su-Jeong Choi, Hyun-Je Song, Seong-Bae Park, Se-Young Park:
WIRE: An Automated Report Generation System using Topical and Temporal Summarization. 2169-2172 - Benjamin Piwowarski:
Experimaestro and Datamaestro: Experiment and Dataset Managers (for IR). 2173-2176 - Dongyu Ru, Zhenghui Wang, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
QuAChIE: Question Answering based Chinese Information Extraction System. 2177-2180 - Mahtab Tamannaee, Negar Arabzadeh, Ebrahim Bagheri:
Vis-Trec: A System for the In-depth Analysis of trec_eval Results. 2181-2184 - Andrew Trotman, Kat Lilly:
JASSjr: The Minimalistic BM25 Search Engine for Teaching and Learning Information Retrieval. 2185-2188 - Minghui Yang, Hengbin Cui, Shaosheng Cao, Yafang Wang, Xiaolong Li:
ServiceGroup: A Human-Machine Cooperation Solution for Group Chat Customer Service. 2189-2192 - Hamed Zamani, Nick Craswell:
Macaw: An Extensible Conversational Information Seeking Platform. 2193-2196 - Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen, Krisztian Balog, Arjen P. de Vries:
REL: An Entity Linker Standing on the Shoulders of Giants. 2197-2200
Industry (SIRIP) Papers I
- Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin, Keping Yang:
GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation. 2201-2210 - Ye Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users. 2211-2220 - Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang:
Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments. 2221-2230 - Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou:
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. 2231-2240 - Zhenxin Fu, Yu Wu, Hailei Zhang, Yichuan Hu, Dongyan Zhao, Rui Yan:
Be Aware of the Hot Zone: A Warning System of Hazard Area Prediction to Intervene Novel Coronavirus COVID-19 Outbreak. 2241-2250 - Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Peng Li, Yi Wei, Yi Hu, Hao Wang:
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval. 2251-2260 - Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang:
Understanding Echo Chambers in E-commerce Recommender Systems. 2261-2270 - Simon Gog, Giulio Ermanno Pibiri, Rossano Venturini:
Efficient and Effective Query Auto-Completion. 2271-2280 - Benjamin Gutelman, Pavel Levin:
Efficient Image Gallery Representations at Scale Through Multi-Task Learning. 2281-2287 - Viet Ha-Thuc, Avishek Dutta, Ren Mao, Matthew Wood, Yunli Liu:
A Counterfactual Framework for Seller-Side A/B Testing on Marketplaces. 2288-2296 - Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu, Wei Lu:
Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise. 2297-2306
Industry (SIRIP) Papers II
- Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang:
Automated Embedding Size Search in Deep Recommender Systems. 2307-2316 - Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Network On Network for Tabular Data Classification in Real-world Applications. 2317-2326 - Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He:
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. 2327-2336 - Haojie Pan, Rongqin Yang, Xin Zhou, Rui Wang, Deng Cai, Xiaozhong Liu:
Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment. 2337-2346 - Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu:
User Behavior Retrieval for Click-Through Rate Prediction. 2347-2356 - Yuan Tian, Ke Zhou, Mounia Lalmas, Dan Pelleg:
Identifying Tasks from Mobile App Usage Patterns. 2357-2366 - Mengxi Wei, Yifan He, Qiong Zhang:
Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models. 2367-2376 - Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, Keping Yang:
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction. 2377-2386 - Liang Wu, Mihajlo Grbovic:
How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace. 2387-2396 - Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. 2397-2406 - Han Zhang, Songlin Wang, Kang Zhang, Zhiling Tang, Yunjiang Jiang, Yun Xiao, Weipeng Yan, Wenyun Yang:
Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning. 2407-2416
Tutorials
- Ahmed El-Kishky, Philipp Koehn, Holger Schwenk:
Searching the Web for Cross-lingual Parallel Data. 2417-2420 - Jianfeng Gao, Chenyan Xiong, Paul Bennett:
Recent Advances in Conversational Information Retrieval. 2421-2424 - Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Conversational Recommendation: Formulation, Methods, and Evaluation. 2425-2428 - Iván Palomares:
Reciprocal Recommendation: Matching Users with the Right Users. 2429-2431 - Rishiraj Saha Roy, Avishek Anand:
Question Answering over Curated and Open Web Sources. 2432-2435 - Chirag Shah, Ryen W. White:
Tutorial on Task-Based Search and Assistance. 2436-2439 - Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke:
Modeling User Behavior for Vertical Search: Images, Apps and Products. 2440-2443 - ChengXiang Zhai:
Interactive Information Retrieval: Models, Algorithms, and Evaluation. 2444-2447
Workshops
- Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He:
AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. 2448-2450 - Fuli Feng, Cheng Luo, Xiangnan He, Yiqun Liu, Tat-Seng Chua:
FinIR 2020: The First Workshop on Information Retrieval in Finance. 2451-2454 - Ingo Frommholz, Haiming Liu, Massimo Melucci:
BIRDS - Bridging the Gap between Information Science, Information Retrieval and Data Science. 2455-2458 - Dietmar Jannach, Surya Kallumadi, Tracy Holloway King, Weihua Luo, Shervin Malmasi:
ECOM'20: The SIGIR 2020 Workshop on eCommerce. 2459-2460 - Bo Long, Jieping Ye, Zang Li, Huiji Gao, Sandeep Kumar Jha:
Deep Natural Language Processing for Search and Recommendation. 2461-2463 - Changlong Sun, Yating Zhang, Xiaozhong Liu, Fei Wu:
Legal Intelligence: Algorithmic, Data, and Social Challenges. 2464-2467 - Weinan Zhang, Xiangyu Zhao, Li Zhao, Dawei Yin, Grace Hui Yang, Alex Beutel:
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. 2468-2471 - Yongfeng Zhang, Xu Chen, Yi Zhang, Min Zhang, Chirag Shah:
EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search. 2472-2474
Doctoral Consortium
- Aymé Arango:
Language Agnostic Hate Speech Detection. 2475 - Paheli Bhattacharya:
Legal Data Analytics: Developing Assistive Tools for Legal Practitioners. 2476 - Valeriya Baranova-Bolotova:
Multi-Document Answer Generation for Non-Factoid Questions. 2477 - Juglar Diaz:
Spatio-temporal Conditioned Language Models. 2478 - Azin Ghazimatin:
Explaining Recommendations in Heterogeneous Networks. 2479 - Lei Han:
When the Human is in the Loop: Cost, Effort and Behavior. 2480 - Sebastian Hofstätter:
End-to-End Contextualized Document Indexing and Retrieval with Neural Networks. 2481 - Magdalena Kaiser:
Incorporating User Feedback in Conversational Question Answering over Heterogeneous Web Sources. 2482 - Yanpeng Lin:
User Modeling Towards Stateful Learning to Rank. 2483 - Siwei Liu:
Enhancing Graph Neural Networks for Recommender Systems. 2484 - Yunqiu Shao:
Towards Legal Case Retrieval. 2485 - Zuoxi Yang:
Biomedical Information Retrieval incorporating Knowledge Graph for Explainable Precision Medicine. 2486 - Qiang Zhang:
Towards Evaluating Veracity of Textual Statements on the Web. 2487 - Runjie Zhu:
Bridging East and West: An Integration of TCM and Western Medicine in Medical Text Mining. 2488
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