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ORCID13th WSDM 2020: Houston, TX, USA
- James Caverlee, Xia (Ben) Hu, Mounia Lalmas, Wei Wang:
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020. ACM 2020, ISBN 978-1-4503-6822-3
Keynote Talks
- Ed H. Chi:
From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation. 1-2 - Kristen Grauman:
Computer Vision for Fashion: From Individual Recommendations to World-wide Trends. 3 - Bin Yu:
Veridical Data Science. 4-5 - Zhi-Hua Zhou:
Can Deep Learning Only Be Neural Networks? 6
Technical Presentations
- Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. 7-15 - Uchenna Akujuobi
, Qiannan Zhang, Yufei Han, Xiangliang Zhang:
Recurrent Attention Walk for Semi-supervised Classification. 16-24 - Sambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty:
Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding. 25-33 - Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu:
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. 34-42 - Ayan Kumar Bhowmick, Koushik Meneni, Maximilien Danisch, Jean-Loup Guillaume, Bivas Mitra:
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding. 43-51 - Alexander Bondarenko, Pavel Braslavski, Michael Völske, Rami Aly, Maik Fröbe, Alexander Panchenko, Chris Biemann, Benno Stein, Matthias Hagen:
Comparative Web Search Questions. 52-60 - Sebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork:
A Stochastic Treatment of Learning to Rank Scoring Functions. 61-69 - Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. 70-78 - David Carmel, Elad Haramaty, Arnon Lazerson, Liane Lewin-Eytan, Yoelle Maarek:
Why Do People Buy Seemingly Irrelevant Items in Voice Product Search?: On the Relation between Product Relevance and Customer Satisfaction in eCommerce. 79-87 - Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
A Context-Aware Click Model for Web Search. 88-96 - Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler:
Parameter Tuning in Personal Search Systems. 97-105 - Yile Chen, Cheng Long, Gao Cong, Chenliang Li:
Context-aware Deep Model for Joint Mobility and Time Prediction. 106-114 - Uthsav Chitra, Christopher Musco:
Analyzing the Impact of Filter Bubbles on Social Network Polarization. 115-123 - Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum:
ENTYFI: Entity Typing in Fictional Texts. 124-132 - Yimeng Dai, Jianzhong Qi, Rui Zhang:
Joint Recognition of Names and Publications in Academic Homepages. 133-141 - Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez:
Can A User Guess What Her Followers Want? 142-150 - Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen:
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection. 151-159 - Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang:
Epidemic Graph Convolutional Network. 160-168 - Negin Entezari, Saba A. Al-Sayouri, Amirali Darvishzadeh, Evangelos E. Papalexakis:
All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs. 169-177 - Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe:
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. 178-186 - Jinlan Fu, Yi Li, Qi Zhang, Qinzhuo Wu, Renfeng Ma, Xuanjing Huang, Yu-Gang Jiang:
Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering. 187-195 - Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, Gerhard Weikum:
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems. 196-204 - Lin Gong, Lu Lin, Weihao Song, Hongning Wang:
JNET: Learning User Representations via Joint Network Embedding and Topic Embedding. 205-213 - Tobias Grubenmann, Reynold C. K. Cheng, Laks V. S. Lakshmanan:
TSA: A Truthful Mechanism for Social Advertising. 214-222 - Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin:
Hierarchical User Profiling for E-commerce Recommender Systems. 223-231 - Ruocheng Guo, Jundong Li, Huan Liu:
Learning Individual Causal Effects from Networked Observational Data. 232-240 - Lei Han, Eddy Maddalena, Alessandro Checco, Cristina Sarasua, Ujwal Gadiraju, Kevin Roitero, Gianluca Demartini:
Crowd Worker Strategies in Relevance Judgment Tasks. 241-249 - Yun He, Yin Zhang, Weiwen Liu, James Caverlee:
Consistency-Aware Recommendation for User-Generated Item List Continuation. 250-258 - Christoph Hube, Maximilian Idahl, Besnik Fetahu:
Debiasing Word Embeddings from Sentiment Associations in Names. 259-267 - Shweta Jain, C. Seshadhri:
The Power of Pivoting for Exact Clique Counting. 268-276 - Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Ultra Fine-Grained Image Semantic Embedding. 277-285 - Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie:
Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models. 286-294 - Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson:
Retrieving Top Weighted Triangles in Graphs. 295-303 - Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. 304-312 - Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang:
Interpretable Click-Through Rate Prediction through Hierarchical Attention. 313-321 - Jiacheng Li, Yujie Wang, Julian J. McAuley:
Time Interval Aware Self-Attention for Sequential Recommendation. 322-330 - Pan Li, Alexander Tuzhilin:
DDTCDR: Deep Dual Transfer Cross Domain Recommendation. 331-339 - Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh, Wei Wang:
Automatic Speaker Recognition with Limited Data. 340-348 - Ruirui Li, Xian Wu, Wei Wang:
Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks. 349-357 - Qinghua Li, Cuiping Li, Hong Chen:
Incremental Filter Pruning via Random Walk for Accelerating Deep Convolutional Neural Networks. 358-366 - Wenqing Lin, Feng He, Faqiang Zhang, Xu Cheng, Hongyun Cai:
Initialization for Network Embedding: A Graph Partition Approach. 367-374 - Mingkai Lin, Wenzhong Li, Sanglu Lu:
Balanced Influence Maximization in Attributed Social Network Based on Sampling. 375-383 - Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He:
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. 384-392 - Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang:
Deep Multi-Graph Clustering via Attentive Cross-Graph Association. 393-401 - Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin:
Jointly Optimized Neural Coreference Resolution with Mutual Attention. 402-410 - Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu:
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification. 411-419 - Xin Mao, Wenting Wang, Huimin Xu, Man Lan, Yuanbin Wu:
MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph. 420-428 - Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler:
Separate and Attend in Personal Email Search. 429-437 - Congcong Miao, Ziyan Luo, Fengzhu Zeng, Jilong Wang:
Predicting Human Mobility via Attentive Convolutional Network. 438-446 - Noujan Pashanasangi, C. Seshadhri:
Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKE. 447-455 - Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma:
Extreme Regression for Dynamic Search Advertising. 456-464 - Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu:
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. 465-473 - Yunqi Qiu, Yuanzhuo Wang, Xiaolong Jin, Kun Zhang:
Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision. 474-482 - Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori:
A Structural Graph Representation Learning Framework. 483-491 - Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul N. Bennett:
Toward Activity Discovery in the Personal Web. 492-500 - Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata:
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback. 501-509 - Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. 510-518 - Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang:
DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. 519-527 - Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko:
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. 528-536 - Alexander Shishkin, Anastasia A. Bezzubtseva, Valentina Fedorova, Alexey Drutsa, Gleb Gusev:
Text Recognition Using Anonymous CAPTCHA Answers. 537-545 - Natalia Silberstein, Oren Somekh, Yair Koren, Michal Aharon, Dror Porat, Avi Shahar, Tingyi Wu:
Ad Close Mitigation for Improved User Experience in Native Advertisements. 546-554 - Harald Steck, Maria Dimakopoulou, Nickolai Riabov, Tony Jebara:
ADMM SLIM: Sparse Recommendations for Many Users. 555-563 - Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. 564-572 - Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen:
Influence Maximization with Spontaneous User Adoption. 573-581 - Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie:
LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation. 582-590 - Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li:
Fast Item Ranking under Neural Network based Measures. 591-599 - Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang:
Transferring Robustness for Graph Neural Network Against Poisoning Attacks. 600-608 - Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li:
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. 609-617 - Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley:
Addressing Marketing Bias in Product Recommendations. 618-626 - Jianling Wang, Ziwei Zhu, James Caverlee:
User Recommendation in Content Curation Platforms. 627-635 - Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee:
Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. 636-644 - Jianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong:
Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. 645-653 - Alfan Farizki Wicaksono, Alistair Moffat:
Metrics, User Models, and Satisfaction. 654-662 - Zhiyong Wu, Ben Kao, Tien-Hsuan Wu, Pengcheng Yin, Qun Liu:
PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems. 663-671 - Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Product Knowledge Graph Embedding for E-commerce. 672-680 - Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Knowledge-aware Complementary Product Representation Learning. 681-689 - Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang:
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. 690-698 - Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. 699-707 - Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. 708-716 - Hamed Zamani, W. Bruce Croft:
Learning a Joint Search and Recommendation Model from User-Item Interactions. 717-725 - Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang:
Nearly Linear Time Algorithm for Mean Hitting Times of Random Walks on a Graph. 726-734 - Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang:
Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. 735-743 - Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page:
AutoBlock: A Hands-off Blocking Framework for Entity Matching. 744-752 - Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen:
Temporal Context-Aware Representation Learning for Question Routing. 753-761 - Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee:
Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. 762-770 - Yukun Zheng, Jiaxin Mao, Yiqun Liu, Mark Sanderson, Min Zhang, Shaoping Ma:
Investigating Examination Behavior in Mobile Search. 771-779 - Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei:
GREASE: A Generative Model for Relevance Search over Knowledge Graphs. 780-788 - Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Enhancing Re-finding Behavior with External Memories for Personalized Search. 789-797 - Xiaofeng Zhu, Diego Klabjan:
Listwise Learning to Rank by Exploring Unique Ratings. 798-806 - Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong:
Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. 807-815 - Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin:
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. 816-824
Demonstrations
- Amin Beheshti, Vahid Moraveji Hashemi, Shahpar Yakhchi, Hamid Reza Motahari-Nezhad, Seyed Mohssen Ghafari, Jian Yang:
personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks. 825-828 - Ankush Chatterjee, Manish Gupta, Puneet Agrawal:
FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages. 829-832 - Vinh Thinh Ho, Koninika Pal, Niko Kleer, Klaus Berberich, Gerhard Weikum:
Entities with Quantities: Extraction, Search, and Ranking. 833-836 - Shengmin Jin, Richard Wituszynski, Max Caiello-Gingold, Reza Zafarani:
WebShapes: Network Visualization with 3D Shapes. 837-840 - Junfeng Liu, Shuai Ma, Renjun Hu, Chunming Hu, Jinpeng Huai:
Athena: A Ranking Enabled Scholarly Search System. 841-844 - Sean MacAvaney:
OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline. 845-848 - Sreyasi Nag Chowdhury, William Cheng, Gerard de Melo, Simon Razniewski, Gerhard Weikum:
Illustrate Your Story: Enriching Text with Images. 849-852 - Armineh Nourbakhsh, Mohammad M. Ghassemi, Steven Pomerville:
SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports. 853-856 - Jiaqi Wei, Shuo Han, Lei Zou:
VISION-KG: Topic-centric Visualization System for Summarizing Knowledge Graph. 857-860 - Andrew Yates, Siddhant Arora, Xinyu Zhang, Wei Yang, Kevin Martin Jose, Jimmy Lin:
Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval. 861-864
Tutorials
- Jen-Tzung Chien:
Deep Bayesian Data Mining. 865-868 - Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra:
Adversarial Machine Learning in Recommender Systems (AML-RecSys). 869-872 - Alexey Drutsa, Valentina Fedorova, Dmitry Ustalov, Olga Megorskaya, Evfrosiniya Zerminova, Daria Baidakova:
Practice of Efficient Data Collection via Crowdsourcing: Aggregation, Incremental Relabelling, and Pricing. 873-876 - Somit Gupta, Xiaolin Shi, Pavel A. Dmitriev, Xin Fu, Avijit Mukherjee:
Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments. 877-880 - Boris Kovalerchuk:
Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means. 881-883 - Zhenhui Li, Huaxiu Yao, Fenglong Ma:
Learning with Small Data. 884-887 - Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi:
Web-scale Knowledge Collection. 888-889 - Xiang Wang, Xiangnan He, Tat-Seng Chua:
Learning and Reasoning on Graph for Recommendation. 890-893 - Ruoying Wang, Kexin Nie, Tie Wang, Yang Yang, Bo Long:
Deep Learning for Anomaly Detection. 894-896
Workshop Summaries
- Eugene Agichtein, Dilek Hakkani-Tür, Surya Kallumadi, Shervin Malmasi:
ConvERSe'20: The WSDM 2020 Workshop on Conversational Systems for E-Commerce Recommendations and Search. 897-898 - Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz:
SUM'20: State-based User Modelling. 899-900 - Carsten Eickhoff, Yubin Kim, Ryen W. White:
Overview of the Health Search and Data Mining (HSDM 2020) Workshop. 901-902 - Oluwaseyi Feyisetan, Sepideh Ghanavati, Patricia Thaine:
Workshop on Privacy in NLP (PrivateNLP 2020). 903-904