Table of Contents

• From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of RecommendationEd H. Chi. 1-2 [doi]
• Computer Vision for Fashion: From Individual Recommendations to World-wide TrendsKristen Grauman. 3 [doi]
• Veridical Data ScienceBin Yu. 4-5 [doi]
• Can Deep Learning Only Be Neural Networks?Zhi-Hua Zhou. 6 [doi]
• Language-Agnostic Representation Learning for Product Search on E-Commerce PlatformsAman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy. 7-15 [doi]
• Recurrent Attention Walk for Semi-supervised ClassificationUchenna Akujuobi, Qiannan Zhang, Han Yufei, Xiangliang Zhang 0001. 16-24 [doi]
• Outlier Resistant Unsupervised Deep Architectures for Attributed Network EmbeddingSambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty. 25-33 [doi]
• Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial LearningGhazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu 0001. 34-42 [doi]
• LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network EmbeddingAyan Kumar Bhowmick, Koushik Meneni, Maximilien Danisch, Jean-Loup Guillaume, Bivas Mitra. 43-51 [doi]
• Comparative Web Search QuestionsAlexander Bondarenko, Pavel Braslavski, Michael Völske, Rami Aly, Maik Fröbe, Alexander Panchenko, Chris Biemann, Benno Stein 0001, Matthias Hagen. 52-60 [doi]
• A Stochastic Treatment of Learning to Rank Scoring FunctionsSebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork. 61-69 [doi]
• Popularity Prediction on Social Platforms with Coupled Graph Neural NetworksQi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng. 70-78 [doi]
• Why Do People Buy Seemingly Irrelevant Items in Voice Product Search?: On the Relation between Product Relevance and Customer Satisfaction in eCommerceDavid Carmel, Elad Haramaty, Arnon Lazerson, Liane Lewin-Eytan, Yoelle Maarek. 79-87 [doi]
• A Context-Aware Click Model for Web SearchJia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang 0006, Shaoping Ma. 88-96 [doi]
• Parameter Tuning in Personal Search SystemsSuming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler. 97-105 [doi]
• Context-aware Deep Model for Joint Mobility and Time PredictionYile Chen, Cheng Long, Gao Cong, Chenliang Li. 106-114 [doi]
• Analyzing the Impact of Filter Bubbles on Social Network PolarizationUthsav Chitra, Christopher Musco. 115-123 [doi]
• ENTYFI: Entity Typing in Fictional TextsCuong Xuan Chu, Simon Razniewski, Gerhard Weikum. 124-132 [doi]
• Joint Recognition of Names and Publications in Academic HomepagesYimeng Dai, Jianzhong Qi 0001, Rui Zhang. 133-141 [doi]
• Can A User Guess What Her Followers Want?Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez. 142-150 [doi]
• Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event DetectionShumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen. 151-159 [doi]
• Epidemic Graph Convolutional NetworkTyler Derr, Yao Ma 0001, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang. 160-168 [doi]
• All You Need Is Low (Rank): Defending Against Adversarial Attacks on GraphsNegin Entezari, Saba A. Al-Sayouri, Amirali Darvishzadeh, Evangelos E. Papalexakis. 169-177 [doi]
• Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate PerturbationsOluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe. 178-186 [doi]
• Recurrent Memory Reasoning Network for Expert Finding in Community Question AnsweringJinLan Fu, Yi Li, Qi Zhang 0001, Qinzhuo Wu, Renfeng Ma, Xuanjing Huang, Yu-Gang Jiang. 187-195 [doi]
• PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender SystemsAzin Ghazimatin, Oana Denisa Balalau, Rishiraj Saha Roy, Gerhard Weikum. 196-204 [doi]
• JNET: Learning User Representations via Joint Network Embedding and Topic EmbeddingLin Gong, Lu Lin, Weihao Song, Hongning Wang. 205-213 [doi]
• TSA: A Truthful Mechanism for Social AdvertisingTobias Grubenmann, Reynold C. K. Cheng, Laks V. S. Lakshmanan. 214-222 [doi]
• Hierarchical User Profiling for E-commerce Recommender SystemsYulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin. 223-231 [doi]
• Learning Individual Causal Effects from Networked Observational DataRuocheng Guo, Jundong Li, Huan Liu. 232-240 [doi]
• Crowd Worker Strategies in Relevance Judgment TasksLei Han 0003, Eddy Maddalena, Alessandro Checco, Cristina Sarasua, Ujwal Gadiraju, Kevin Roitero, Gianluca Demartini. 241-249 [doi]
• Consistency-Aware Recommendation for User-Generated Item List ContinuationYun He, Yin Zhang, Weiwen Liu, James Caverlee. 250-258 [doi]
• Debiasing Word Embeddings from Sentiment Associations in NamesChristoph Hube, Maximilian Idahl, Besnik Fetahu. 259-267 [doi]
• The Power of Pivoting for Exact Clique CountingShweta Jain 0003, C. Seshadhri. 268-276 [doi]
• Ultra Fine-Grained Image Semantic EmbeddingDa-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi. 277-285 [doi]
• Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic ModelsQuyu Kong, Marian-Andrei Rizoiu, Lexing Xie. 286-294 [doi]
• Retrieving Top Weighted Triangles in GraphsRaunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson. 295-303 [doi]
• Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender SystemsWenqiang Lei, Xiangnan He 0001, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua. 304-312 [doi]
• Interpretable Click-Through Rate Prediction through Hierarchical AttentionZeYu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang 0010. 313-321 [doi]
• Time Interval Aware Self-Attention for Sequential RecommendationJiacheng Li, Yujie Wang, Julian J. McAuley. 322-330 [doi]
• DDTCDR: Deep Dual Transfer Cross Domain RecommendationPan Li 0008, Alexander Tuzhilin. 331-339 [doi]
• Automatic Speaker Recognition with Limited DataRuirui Li, Jyun-Yu Jiang, Jiahao Liu Li, Chu-Cheng Hsieh, Wei Wang 0010. 340-348 [doi]
• Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social NetworksRuirui Li, Xian Wu, Wei Wang 0010. 349-357 [doi]
• Incremental Filter Pruning via Random Walk for Accelerating Deep Convolutional Neural NetworksQinghua Li, Cuiping Li, Hong Chen 0001. 358-366 [doi]
• Initialization for Network Embedding: A Graph Partition ApproachWenqing Lin, Feng He, Faqiang Zhang, Xu Cheng, HongYun Cai. 367-374 [doi]
• Balanced Influence Maximization in Attributed Social Network Based on SamplingMingkai Lin, Wenzhong Li, Sanglu Lu. 375-383 [doi]
• End-to-End Deep Reinforcement Learning based Recommendation with Supervised EmbeddingFeng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He. 384-392 [doi]
• Deep Multi-Graph Clustering via Attentive Cross-Graph AssociationDongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Yu, Xiang Zhang. 393-401 [doi]
• Jointly Optimized Neural Coreference Resolution with Mutual AttentionJie Ma, Jun Liu 0002, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin. 402-410 [doi]
• Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style ClassificationQianwen Ma, Chunyuan Yuan, Wei Zhou 0019, Jizhong Han, Songlin Hu. 411-419 [doi]
• MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge GraphXin Mao, Wenting Wang, Huimin Xu, Man Lan, Yuanbin Wu. 420-428 [doi]
• Separate and Attend in Personal Email SearchYu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler. 429-437 [doi]
• Predicting Human Mobility via Attentive Convolutional NetworkCongcong Miao, Ziyan Luo, Fengzhu Zeng, Jilong Wang. 438-446 [doi]
• Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKENoujan Pashanasangi, C. Seshadhri. 447-455 [doi]
• Extreme Regression for Dynamic Search AdvertisingYashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma. 456-464 [doi]
• Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation ModelingJiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang 0001, Yong Yu 0001. 465-473 [doi]
• Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak SupervisionYunqi Qiu, Yuanzhuo Wang, Xiaolong Jin, Kun Zhang. 474-482 [doi]
• A Structural Graph Representation Learning FrameworkRyan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, SungChul Kim, Anup Rao, Yasin Abbasi-Yadkori. 483-491 [doi]
• Toward Activity Discovery in the Personal WebTara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul N. Bennett. 492-500 [doi]
• Unbiased Recommender Learning from Missing-Not-At-Random Implicit FeedbackYuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata. 501-509 [doi]
• Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion PredictionAravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han 0001. 510-518 [doi]
• DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention NetworksAravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang. 519-527 [doi]
• RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit FeedbackIlya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko. 528-536 [doi]
• Text Recognition Using Anonymous CAPTCHA AnswersAlexander Shishkin, Anastasia A. Bezzubtseva, Valentina Fedorova, Alexey Drutsa, Gleb Gusev. 537-545 [doi]
• Ad Close Mitigation for Improved User Experience in Native AdvertisementsNatalia Silberstein, Oren Somekh, Yair Koren, Michal Aharon, Dror Porat, Avi Shahar, Tingyi Wu. 546-554 [doi]
• ADMM SLIM: Sparse Recommendations for Many UsersHarald Steck, Maria Dimakopoulou, Nickolai Riabov, Tony Jebara. 555-563 [doi]
• Label Distribution Augmented Maximum Likelihood Estimation for Reading ComprehensionLixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng. 564-572 [doi]
• Influence Maximization with Spontaneous User AdoptionLichao Sun, Albert Chen, Philip S. Yu, Wei Chen. 573-581 [doi]
• LARA: Attribute-to-feature Adversarial Learning for New-item RecommendationChangfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie. 582-590 [doi]
• Fast Item Ranking under Neural Network based MeasuresShulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li. 591-599 [doi]
• Transferring Robustness for Graph Neural Network Against Poisoning AttacksXianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang. 600-608 [doi]
• HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender SystemsLucas Vinh Tran, Yi Tay, Shuai Zhang 0007, Gao Cong, Xiaoli Li. 609-617 [doi]
• Addressing Marketing Bias in Product RecommendationsMengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley. 618-626 [doi]
• User Recommendation in Content Curation PlatformsJianling Wang, Ziwei Zhu, James Caverlee. 627-635 [doi]
• Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and DiffusionJianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee. 636-644 [doi]
• Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerceJianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong. 645-653 [doi]
• Metrics, User Models, and SatisfactionAlfan Farizki Wicaksono, Alistair Moffat. 654-662 [doi]
• PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA SystemsZhiyong Wu, Ben Kao, Tien-Hsuan Wu, Pengcheng Yin, Qun Liu. 663-671 [doi]
• Product Knowledge Graph Embedding for E-commerceDa Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan. 672-680 [doi]
• Knowledge-aware Complementary Product Representation LearningDa Xu, Chuanwei Ruan, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan. 681-689 [doi]
• Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering SystemZe Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang. 690-698 [doi]
• Relation Learning on Social Networks with Multi-Modal Graph Edge Variational AutoencodersCarl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myungwan Kim, Matt Walker, Yiou Xiao, Jiawei Han 0001. 699-707 [doi]
• Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical InferenceJaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon. 708-716 [doi]
• Learning a Joint Search and Recommendation Model from User-Item InteractionsHamed Zamani, W. Bruce Croft. 717-725 [doi]
• Nearly Linear Time Algorithm for Mean Hitting Times of Random Walks on a GraphZuobai Zhang, Wanyue Xu, Zhongzhi Zhang. 726-734 [doi]
• Distilling Structured Knowledge into Embeddings for Explainable and Accurate RecommendationYuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang. 735-743 [doi]
• AutoBlock: A Hands-off Blocking Framework for Entity MatchingWei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page. 744-752 [doi]
• Temporal Context-Aware Representation Learning for Question RoutingXuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen. 753-761 [doi]
• Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent RepresentationsXing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee. 762-770 [doi]
• Investigating Examination Behavior in Mobile SearchYukun Zheng, Jiaxin Mao, Yiqun Liu, Mark Sanderson, Min Zhang, Shaoping Ma. 771-779 [doi]
• GREASE: A Generative Model for Relevance Search over Knowledge GraphsTianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei. 780-788 [doi]
• Enhancing Re-finding Behavior with External Memories for Personalized SearchYujia Zhou, Zhicheng Dou, Ji-Rong Wen. 789-797 [doi]
• Listwise Learning to Rank by Exploring Unique RatingsXiaofeng Zhu 0004, Diego Klabjan. 798-806 [doi]
• Sequential Modeling of Hierarchical User Intention and Preference for Next-item RecommendationNengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong. 807-815 [doi]
• Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive RecommendationLixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu 0001, Jian-Yun Nie, Dawei Yin. 816-824 [doi]
• personality2vec: Enabling the Analysis of Behavioral Disorders in Social NetworksAmin Beheshti, Vahid Moraveji Hashemi, Shahpar Yakhchi, Hamid Reza Motahari-Nezhad, Seyed Mohssen Ghafari, Jian Yang 0001. 825-828 [doi]
• FAQAugmenter: Suggesting Questions for Enterprise FAQ PagesAnkush Chatterjee, Manish Gupta, Puneet Agrawal. 829-832 [doi]
• Entities with Quantities: Extraction, Search, and RankingVinh Thinh Ho, Koninika Pal, Niko Kleer, Klaus Berberich, Gerhard Weikum. 833-836 [doi]
• WebShapes: Network Visualization with 3D ShapesShengmin Jin, Richard Wituszynski, Max Caiello-Gingold, Reza Zafarani. 837-840 [doi]
• Athena: A Ranking Enabled Scholarly Search SystemJunfeng Liu, Shuai Ma 0001, Renjun Hu, Chunming Hu, Jinpeng Huai. 841-844 [doi]
• OpenNIR: A Complete Neural Ad-Hoc Ranking PipelineSean MacAvaney. 845-848 [doi]
• Illustrate Your Story: Enriching Text with ImagesSreyasi Nag Chowdhury, William Cheng, Gerard de Melo, Simon Razniewski, Gerhard Weikum. 849-852 [doi]
• SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings ReportsArmineh Nourbakhsh, Mohammad M. Ghassemi, Steven Pomerville. 853-856 [doi]
• VISION-KG: Topic-centric Visualization System for Summarizing Knowledge GraphJiaqi Wei, Shuo Han, Lei Zou 0001. 857-860 [doi]
• Capreolus: A Toolkit for End-to-End Neural Ad Hoc RetrievalAndrew Yates, Siddhant Arora, Xinyu Zhang, Wei Yang, Kevin Martin Jose, Jimmy Lin. 861-864 [doi]
• Deep Bayesian Data MiningJen-Tzung Chien. 865-868 [doi]
• Adversarial Machine Learning in Recommender Systems (AML-RecSys)Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra. 869-872 [doi]
• Practice of Efficient Data Collection via Crowdsourcing: Aggregation, Incremental Relabelling, and PricingAlexey Drutsa, Valentina Fedorova, Dmitry Ustalov, Olga Megorskaya, Evfrosiniya Zerminova, Daria Baidakova. 873-876 [doi]
• Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled ExperimentsSomit Gupta, Xiaolin Shi, Pavel Dmitriev, Xin Fu, Avijit Mukherjee. 877-880 [doi]
• Intelligible Machine Learning and Knowledge Discovery Boosted by Visual MeansBoris Kovalerchuk. 881-883 [doi]
• Learning with Small DataZhenhui Li, Huaxiu Yao, Fenglong Ma. 884-887 [doi]
• Web-scale Knowledge CollectionColin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi. 888-889 [doi]
• Learning and Reasoning on Graph for RecommendationXiang Wang, Xiangnan He 0001, Tat-Seng Chua. 890-893 [doi]
• Deep Learning for Anomaly DetectionRuoying Wang, Kexin Nie, Tie Wang, Yang Yang, Bo Long. 894-896 [doi]
• ConvERSe'20: The WSDM 2020 Workshop on Conversational Systems for E-Commerce Recommendations and SearchEugene Agichtein, Dilek Hakkani-Tür, Surya Kallumadi, Shervin Malmasi. 897-898 [doi]
• SUM'20: State-based User ModellingSahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz. 899-900 [doi]
• Overview of the Health Search and Data Mining (HSDM 2020) WorkshopCarsten Eickhoff, Yubin Kim, Ryen W. White. 901-902 [doi]
• Workshop on Privacy in NLP (PrivateNLP 2020)Oluwaseyi Feyisetan, Sepideh Ghanavati, Patricia Thaine. 903-904 [doi]
• Integrity 2020: Integrity in Social Networks and MediaLluis Garcia Pueyo, Anand Bhaskar, Panayiotis Tsaparas, Aristides Gionis, Tina Eliassi-Rad, Maria Daltayanni, Yu Sun, Panagiotis Papadimitriou 0002. 905-906 [doi]
• NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for RecommendationsPengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He 0001, Dawei Yin, Maarten de Rijke. 907-908 [doi]
• Impact of Online Job Search and Job Reviews on Job DecisionFaiz Ahamad. 909-910 [doi]
• User Intent Inference for Web Search and Conversational AgentsAli Ahmadvand. 911-912 [doi]
• Temporal Pattern of Retweet(s) Help to Maximize Information Diffusion in TwitterAyan Kumar Bhowmick. 913-914 [doi]
• Beyond Sessions: Exploiting Hybrid Contextual Information for Web SearchJia Chen. 915-916 [doi]
• Network Analysis with Negative LinksTyler Derr. 917-918 [doi]
• Decision Boundary of Deep Neural Networks: Challenges and OpportunitiesHamid Karimi, Jiliang Tang. 919-920 [doi]
• Think like a Human: Constructing Cognitive-oriented Retrieval Model for Web SearchXiangsheng Li. 921-922 [doi]
• Hybrid Utility Function for Unexpected RecommendationsPan Li. 923-924 [doi]
• Overlapping Community Detection in Static and Dynamic NetworksRenny Márquez. 925-926 [doi]
• Learning from Heterogeneous Networks: Methods and ApplicationsChuxu Zhang. 927-928 [doi]