ACM International Conference on Web Search and Data Mining

WSDM

CORE rank

CORE rank (raw)

Acceptance rate

17.0% (2024)

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

2,249

2008–2026

Best Machine Learning conferences Best Data Science and Information Retrieval conferences

Papers per year

2008216 peak2026

Most published authors

WSDM papers

2,249 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2023	Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation.	Xuanhao Chen, Liwei Deng, Yan Zhao, Kai Zheng
2023	Unbiased Knowledge Distillation for Recommendation.	Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He
2023	Learning and Maximizing Influence in Social Networks Under Capacity Constraints.	Pritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De
2023	Towards Universal Cross-Domain Recommendation.	Jiangxia Cao, Shaoshuai Li, Bowen Yu, Xiaobo Guo, Tingwen Liu, Bin Wang
2023	Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning.	Tianchi Cai, Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang
2023	A Causal View for Item-level Effect of Recommendation on User Preference.	Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu
2023	SmartCityBus - A Platform for Smart Transportation Systems.	Georgios Bouloukakis, Chrysostomos Zeginis, Nikolaos Papadakis, Kostas Magoutis, George Christodoulou, Chrysanthi Kosyfaki, Konstantinos Lampropoulos, Nikos Mamoulis
2023	Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation.	Qingyu Bing, Qiannan Zhu, Zhicheng Dou
2023	MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution.	Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang
2023	Beyond Hard Negatives in Product Search: Semantic Matching Using One-Class Classification (SMOCC).	Arindam Bhattacharya, Ankit Gandhi, Vijay Huddar, Ankith M. S, Aayush Moroney, Atul Saroop, Rahul Bhagat
2023	Local Edge Dynamics and Opinion Polarization.	Nikita Bhalla, Adam Lechowicz, Cameron Musco
2023	Simulating Humans at Scale to Evaluate Voice Interfaces for TVs: the Round-Trip System at Comcast.	Breck Baldwin, Lauren Reese, Liming Zhang, Jan Neumann, Taylor Cassidy, Michael Pereira, G. Craig Murray, Kishorekumar Sundararajan, Yidnekachew Endale, Pramod Kadagattor, Paul Wolfe, Brian Aiken, Tony Braskich, Donte Jiggetts, Adam Sloan, Esther Vaturi, Crystal Pender, Ferhan Ture
2023	UnCommonSense in Action! Informative Negations for Commonsense Knowledge Bases.	Hiba Arnaout, Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum
2023	A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping.	Mozhdeh Ariannezhad, Ming Li, Sebastian Schelter, Maarten de Rijke
2023	Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb Experiences.	Veronika Arefieva, Roman Egger, Michael Schrefl, Markus Schedl
2023	Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter Data.	M. Eren Akbiyik, Mert Erkul, Killian Kmpf, Vaiva Vasiliauskaite, Nino Antulov-Fantulin
2023	UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems.	Jafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog, Shuo Zhang
2023	Calibrated Recommendations as a Minimum-Cost Flow Problem.	Himan Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin A. Carterette, Mounia Lalmas, Tony Jebara
2023	Dependency-aware Self-training for Entity Alignment.	Bing Liu, Tiancheng Lan, Wen Hua, Guido Zuccon
2023	AgAsk: A Conversational Search Agent for Answering Agricultural Questions.	Hang Li, Bevan Koopman, Ahmed Mourad, Guido Zuccon
2023	Self-Supervised Graph Structure Refinement for Graph Neural Networks.	Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
2023	Knowledge-Augmented Methods for Natural Language Processing.	Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
2023	Scalable Adversarial Attack Algorithms on Influence Maximization.	Lichao Sun, Xiaobin Rui, Wei Chen
2023	A Tutorial on Domain Generalization.	Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie
2023	Towards an Event-Aware Urban Mobility Prediction System.	Zhaonan Wang, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki

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