WSDM - RankMe – RankMe

131 papers

Year	Title / Authors
2020	A Context-Aware Click Model for Web Search. Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
2020	A Stochastic Treatment of Learning to Rank Scoring Functions. Sebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork
2020	A Structural Graph Representation Learning Framework. Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori
2020	ADMM SLIM: Sparse Recommendations for Many Users. Harald Steck, Maria Dimakopoulou, Nickolai Riabov, Tony Jebara
2020	Ad Close Mitigation for Improved User Experience in Native Advertisements. Natalia Silberstein, Oren Somekh, Yair Koren, Michal Aharon, Dror Porat, Avi Shahar, Tingyi Wu
2020	Addressing Marketing Bias in Product Recommendations. Mengting Wan, Jianmo Ni, Rishabh Misra, Julian J. McAuley
2020	Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks. Ruirui Li, Xian Wu, Wei Wang
2020	Adversarial Machine Learning in Recommender Systems (AML-RecSys). Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
2020	All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs. Negin Entezari, Saba A. Al-Sayouri, Amirali Darvishzadeh, Evangelos E. Papalexakis
2020	Analyzing the Impact of Filter Bubbles on Social Network Polarization. Uthsav Chitra, Christopher Musco
2020	Athena: A Ranking Enabled Scholarly Search System. Junfeng Liu, Shuai Ma, Renjun Hu, Chunming Hu, Jinpeng Huai
2020	AutoBlock: A Hands-off Blocking Framework for Entity Matching. Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page
2020	Automatic Speaker Recognition with Limited Data. Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh, Wei Wang
2020	Balanced Influence Maximization in Attributed Social Network Based on Sampling. Mingkai Lin, Wenzhong Li, Sanglu Lu
2020	Beyond Sessions: Exploiting Hybrid Contextual Information for Web Search. Jia Chen
2020	Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification. Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu
2020	Can A User Guess What Her Followers Want? Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
2020	Can Deep Learning Only Be Neural Networks? Zhi-Hua Zhou
2020	Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval. Andrew Yates, Siddhant Arora, Xinyu Zhang, Wei Yang, Kevin Martin Jose, Jimmy Lin
2020	Challenges, Best Practices and Pitfalls in Evaluating Results of Online Controlled Experiments. Somit Gupta, Xiaolin Shi, Pavel A. Dmitriev, Xin Fu, Avijit Mukherjee
2020	Comparative Web Search Questions. Alexander Bondarenko, Pavel Braslavski, Michael Völske, Rami Aly, Maik Fröbe, Alexander Panchenko, Chris Biemann, Benno Stein, Matthias Hagen
2020	Computer Vision for Fashion: From Individual Recommendations to World-wide Trends. Kristen Grauman
2020	Consistency-Aware Recommendation for User-Generated Item List Continuation. Yun He, Yin Zhang, Weiwen Liu, James Caverlee
2020	Context-aware Deep Model for Joint Mobility and Time Prediction. Yile Chen, Cheng Long, Gao Cong, Chenliang Li
2020	ConvERSe'20: The WSDM 2020 Workshop on Conversational Systems for E-Commerce Recommendations and Search. Eugene Agichtein, Dilek Hakkani-Tür, Surya Kallumadi, Shervin Malmasi
2020	Crowd Worker Strategies in Relevance Judgment Tasks. Lei Han, Eddy Maddalena, Alessandro Checco, Cristina Sarasua, Ujwal Gadiraju, Kevin Roitero, Gianluca Demartini
2020	DDTCDR: Deep Dual Transfer Cross Domain Recommendation. Pan Li, Alexander Tuzhilin
2020	Debiasing Word Embeddings from Sentiment Associations in Names. Christoph Hube, Maximilian Idahl, Besnik Fetahu
2020	Decision Boundary of Deep Neural Networks: Challenges and Opportunities. Hamid Karimi, Jiliang Tang
2020	Deep Bayesian Data Mining. Jen-Tzung Chien
2020	Deep Learning for Anomaly Detection. Ruoying Wang, Kexin Nie, Tie Wang, Yang Yang, Bo Long
2020	Deep Multi-Graph Clustering via Attentive Cross-Graph Association. Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang
2020	Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation. Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang
2020	DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
2020	ENTYFI: Entity Typing in Fictional Texts. Cuong Xuan Chu, Simon Razniewski, Gerhard Weikum
2020	Efficiently Counting Vertex Orbits of All 5-vertex Subgraphs, by EVOKE. Noujan Pashanasangi, C. Seshadhri
2020	End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He
2020	Enhancing Re-finding Behavior with External Memories for Personalized Search. Yujia Zhou, Zhicheng Dou, Ji-Rong Wen
2020	Entities with Quantities: Extraction, Search, and Ranking. Vinh Thinh Ho, Koninika Pal, Niko Kleer, Klaus Berberich, Gerhard Weikum
2020	Epidemic Graph Convolutional Network. Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
2020	Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua
2020	Extreme Regression for Dynamic Search Advertising. Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
2020	FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages. Ankush Chatterjee, Manish Gupta, Puneet Agrawal
2020	Fast Item Ranking under Neural Network based Measures. Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li
2020	From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation. Ed H. Chi
2020	GREASE: A Generative Model for Relevance Search over Knowledge Graphs. Tianshuo Zhou, Ziyang Li, Gong Cheng, Jun Wang, Yuang Wei
2020	Hierarchical User Profiling for E-commerce Recommender Systems. Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin
2020	Hybrid Utility Function for Unexpected Recommendations. Pan Li
2020	HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li
2020	Illustrate Your Story: Enriching Text with Images. Sreyasi Nag Chowdhury, William Cheng, Gerard de Melo, Simon Razniewski, Gerhard Weikum
2020	Impact of Online Job Search and Job Reviews on Job Decision. Faiz Ahamad
2020	Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee
2020	Incremental Filter Pruning via Random Walk for Accelerating Deep Convolutional Neural Networks. Qinghua Li, Cuiping Li, Hong Chen
2020	Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han
2020	Influence Maximization with Spontaneous User Adoption. Lichao Sun, Albert C. Chen, Philip S. Yu, Wei Chen
2020	Initialization for Network Embedding: A Graph Partition Approach. Wenqing Lin, Feng He, Faqiang Zhang, Xu Cheng, Hongyun Cai
2020	Integrity 2020: Integrity in Social Networks and Media. Lluis Garcia Pueyo, Anand Bhaskar, Panayiotis Tsaparas, Aristides Gionis, Tina Eliassi-Rad, Maria Daltayanni, Yu Sun, Panagiotis Papadimitriou
2020	Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means. Boris Kovalerchuk
2020	Interpretable Click-Through Rate Prediction through Hierarchical Attention. Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang
2020	Investigating Examination Behavior in Mobile Search. Yukun Zheng, Jiaxin Mao, Yiqun Liu, Mark Sanderson, Min Zhang, Shaoping Ma
2020	JNET: Learning User Representations via Joint Network Embedding and Topic Embedding. Lin Gong, Lu Lin, Weihao Song, Hongning Wang
2020	Joint Recognition of Names and Publications in Academic Homepages. Yimeng Dai, Jianzhong Qi, Rui Zhang
2020	Jointly Optimized Neural Coreference Resolution with Mutual Attention. Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin
2020	Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion. Jianling Wang, Kaize Ding, Ziwei Zhu, Yin Zhang, James Caverlee
2020	Knowledge-aware Complementary Product Representation Learning. Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020	LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation. Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie
2020	Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020	Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. Aman Ahuja, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
2020	Learning Individual Causal Effects from Networked Observational Data. Ruocheng Guo, Jundong Li, Huan Liu
2020	Learning a Joint Search and Recommendation Model from User-Item Interactions. Hamed Zamani, W. Bruce Croft
2020	Learning and Reasoning on Graph for Recommendation. Xiang Wang, Xiangnan He, Tat-Seng Chua
2020	Learning from Heterogeneous Networks: Methods and Applications. Chuxu Zhang
2020	Learning with Small Data. Zhenhui Li, Huaxiu Yao, Fenglong Ma
2020	Listwise Learning to Rank by Exploring Unique Ratings. Xiaofeng Zhu, Diego Klabjan
2020	LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding. Ayan Kumar Bhowmick, Koushik Meneni, Maximilien Danisch, Jean-Loup Guillaume, Bivas Mitra
2020	MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph. Xin Mao, Wenting Wang, Huimin Xu, Man Lan, Yuanbin Wu
2020	Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection. Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen
2020	Metrics, User Models, and Satisfaction. Alfan Farizki Wicaksono, Alistair Moffat
2020	Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang
2020	Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models. Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
2020	NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke
2020	Nearly Linear Time Algorithm for Mean Hitting Times of Random Walks on a Graph. Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang
2020	Network Analysis with Negative Links. Tyler Derr
2020	OpenNIR: A Complete Neural Ad-Hoc Ranking Pipeline. Sean MacAvaney
2020	Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding. Sambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty
2020	Overlapping Community Detection in Static and Dynamic Networks. Renny Márquez
2020	Overview of the Health Search and Data Mining (HSDM 2020) Workshop. Carsten Eickhoff, Yubin Kim, Ryen W. White
2020	PERQ: Predicting, Explaining, and Rectifying Failed Questions in KB-QA Systems. Zhiyong Wu, Ben Kao, Tien-Hsuan Wu, Pengcheng Yin, Qun Liu
2020	PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems. Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, Gerhard Weikum
2020	Parameter Tuning in Personal Search Systems. Suming J. Chen, Xuanhui Wang, Zhen Qin, Donald Metzler
2020	Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng
2020	Practice of Efficient Data Collection via Crowdsourcing: Aggregation, Incremental Relabelling, and Pricing. Alexey Drutsa, Valentina Fedorova, Dmitry Ustalov, Olga Megorskaya, Evfrosiniya Zerminova, Daria Baidakova
2020	Predicting Human Mobility via Attentive Convolutional Network. Congcong Miao, Ziyan Luo, Fengzhu Zeng, Jilong Wang
2020	Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe
2020	Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu
2020	Product Knowledge Graph Embedding for E-commerce. Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2020	Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin
2020	RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback. Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko
2020	Recurrent Attention Walk for Semi-supervised Classification. Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang
2020	Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering. Jinlan Fu, Yi Li, Qi Zhang, Qinzhuo Wu, Renfeng Ma, Xuanjing Huang, Yu-Gang Jiang
2020	Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han
2020	Retrieving Top Weighted Triangles in Graphs. Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson
2020	SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports. Armineh Nourbakhsh, Mohammad M. Ghassemi, Steven Pomerville
2020	SUM'20: State-based User Modelling. Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz
2020	Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2020	Separate and Attend in Personal Email Search. Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler
2020	Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong
2020	Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu
2020	Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision. Yunqi Qiu, Yuanzhuo Wang, Xiaolong Jin, Kun Zhang
2020	TSA: A Truthful Mechanism for Social Advertising. Tobias Grubenmann, Reynold C. K. Cheng, Laks V. S. Lakshmanan
2020	Temporal Context-Aware Representation Learning for Question Routing. Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen
2020	Temporal Pattern of Retweet(s) Help to Maximize Information Diffusion in Twitter. Ayan Kumar Bhowmick
2020	Text Recognition Using Anonymous CAPTCHA Answers. Alexander Shishkin, Anastasia A. Bezzubtseva, Valentina Fedorova, Alexey Drutsa, Gleb Gusev
2020	The Power of Pivoting for Exact Clique Counting. Shweta Jain, C. Seshadhri
2020	Think like a Human: Constructing Cognitive-oriented Retrieval Model for Web Search. Xiangsheng Li
2020	Time Interval Aware Self-Attention for Sequential Recommendation. Jiacheng Li, Yujie Wang, Julian J. McAuley
2020	Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce. Jianling Wang, Raphael Louca, Diane Hu, Caitlin Cellier, James Caverlee, Liangjie Hong
2020	Toward Activity Discovery in the Personal Web. Tara Safavi, Adam Fourney, Robert Sim, Marcin Juraszek, Shane Williams, Ned Friend, Danai Koutra, Paul N. Bennett
2020	Transferring Robustness for Graph Neural Network Against Poisoning Attacks. Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
2020	Ultra Fine-Grained Image Semantic Embedding. Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi
2020	Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback. Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata
2020	User Intent Inference for Web Search and Conversational Agents. Ali Ahmadvand
2020	User Recommendation in Content Curation Platforms. Jianling Wang, Ziwei Zhu, James Caverlee
2020	VISION-KG: Topic-centric Visualization System for Summarizing Knowledge Graph. Jiaqi Wei, Shuo Han, Lei Zou
2020	Veridical Data Science. Bin Yu
2020	WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020 James Caverlee, Xia (Ben) Hu, Mounia Lalmas, Wei Wang
2020	Web-scale Knowledge Collection. Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi
2020	WebShapes: Network Visualization with 3D Shapes. Shengmin Jin, Richard Wituszynski, Max Caiello-Gingold, Reza Zafarani
2020	Why Do People Buy Seemingly Irrelevant Items in Voice Product Search?: On the Relation between Product Relevance and Customer Satisfaction in eCommerce. David Carmel, Elad Haramaty, Arnon Lazerson, Liane Lewin-Eytan, Yoelle Maarek
2020	Workshop on Privacy in NLP (PrivateNLP 2020). Oluwaseyi Feyisetan, Sepideh Ghanavati, Patricia Thaine
2020	personality2vec: Enabling the Analysis of Behavioral Disorders in Social Networks. Amin Beheshti, Vahid Moraveji Hashemi, Shahpar Yakhchi, Hamid Reza Motahari-Nezhad, Seyed Mohssen Ghafari, Jian Yang