Web Search and Data Mining (WSDM) (2025)

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Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

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Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

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Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation.

Yijun Tian|Yikun Han|Xiusi Chen|Wei Wang|Nitesh V. Chawla

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Towards Personalized Federated Multi-Scenario Multi-Task Recommendation.

Yue Ding|Yanbiao Ji|Xun Cai|Xin Xin|Yuxiang Lu|Suizhi Huang|Chang Liu|Xiaofeng Gao|Tsuyoshi Murata|Hongtao Lu

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Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users.

Jongjin Kim|U Kang

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Dynamic Interaction-Driven Intent Evolver with Semantic Probability Distributions.

Zelin Li|Cheng Zhang|Dawei Song

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Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs.

Yilong Wang|Tianxiang Zhao|Zongyu Wu|Suhang Wang

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Towards Secure and Robust Recommender Systems: A Data-Centric Perspective.

Zongwei Wang|Junliang Yu|Tong Chen|Hongzhi Yin|Shazia Sadiq|Min Gao

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MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models.

Hao Yan|Chaozhuo Li|Jun Yin|Weihao Han|Hao Sun|Senzhang Wang|Jian Zhang|Jianxin Wang

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RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan.

Ziming Li|Yuequn Dou|Youhuan Li|Xinhuan Chen|Chuxu Zhang

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Hawkes Point Process-enhanced Dynamic Graph Neural Network.

Zhiqiang Wang|Baijing Hu|Kaixuan Yao|Jiye Liang

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Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models.

Kexin Zhang|Fuyuan Lyu|Xing Tang|Dugang Liu|Chen Ma|Kaize Ding|Xiuqiang He|Xue Liu

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Advancing Voice AI for E-commerce: Tracking ASR Model Performance at Scale.

Dhruv Agarwal|Nupur Neti|Federica Cerina

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Large Language Model driven Policy Exploration for Recommender Systems.

Jie Wang|Alexandros Karatzoglou|Ioannis Arapakis|Joemon M. Jose

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SAGESSE: A System for Argument Generation, Extraction and Structuring of Social Exchanges.

Nicolas Almerge|Matteo Santelmo|Ilker Gül|Amin Asadi Sarijalou|Rémi Lebret|Léo Laugier|Karl Aberer

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The Initial Screening Order Problem.

José M. Álvarez|Antonio Mastropietro|Salvatore Ruggieri

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Mind Over Machine: Evaluating Theory of Mind Reasoning in LLMs and Humans.

Maryam Amirizaniani

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How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries.

Maryam Amirizaniani|Maryna Sivachenko|Adrian Lavergne|Chirag Shah|Afra Mashhadi

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Query Performance Prediction: Theory, Techniques and Applications.

Negar Arabzadeh|Chuan Meng|Mohammad Aliannejadi|Ebrahim Bagheri

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BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling.

Ubaid Azam|Imran Razzak|Shelly Vishwakarma|Hakim Hacid|Dell Zhang|Shoaib Jameel

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Adaptive Loss-based Curricula for Neural Team Recommendation.

Reza Barzegar|Marco Nikola Kurepa|Hossein Fani

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Using Photon-Counting CT Images for Lung Nodule Classification.

Leonie Basso|Zahra Ahmadi|Steffen Oeltze-Jafra|Eike Petersen|Hoen-oh Shin|Andrea Schenk

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A Sublinear Algorithm for Approximate Shortest Paths in Large Networks.

Sabyasachi Basu|Nadia Koshima|Talya Eden|Omri Ben-Eliezer|C. Seshadhri

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CRS Arena: Crowdsourced Benchmarking of Conversational Recommender Systems.

Nolwenn Bernard|Hideaki Joko|Faegheh Hasibi|Krisztian Balog

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Beyond Relevance: A Demand Balancer Model for Rental Platforms with Single-Unit Inventory.

Guilherme G. Bonaldo|Pedro F. Nogueira|Tetiana Torovets|Thays F. da Silva

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Compliant Personalization for Recommended Documents in Microsoft 365 with L-Profile as an Exemplary Feature.

Matthias Braunhofer|Grzegorz Kukla|Abhishek Arun

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Advances in Vector Search.

Sebastian Bruch

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Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems.

Hongliu Cao

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Q-DISCO: Query-Centric Densest Subgraphs in Networks with Opinion Information.

Tianyi Chen|Atsushi Miyauchi|Charalampos E. Tsourakakis

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Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection.

Jiazhen Chen|Mingbin Feng|Tony S. Wirjanto

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Cross-Domain Pre-training with Language Models for Transferable Time Series Representations.

Mingyue Cheng|Xiaoyu Tao|Qi Liu|Hao Zhang|Yiheng Chen|Defu Lian

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Edge Classification on Graphs: New Directions in Topological Imbalance.

Xueqi Cheng|Yu Wang|Yunchao Liu|Yuying Zhao|Charu C. Aggarwal|Tyler Derr

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Edge-Centric Network Analytics.

Xueqi Cheng

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InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling.

Mingyue Cheng|Yiheng Chen|Qi Liu|Zhiding Liu|Yucong Luo|Enhong Chen

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DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems.

Jiaju Chen|Chongming Gao|Shuai Yuan|Shuchang Liu|Qingpeng Cai|Peng Jiang

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MedTransTab: Advancing Medical Cross-Table Tabular Data Generation.

Yuyan Chen|Qingpei Guo|Shuangjie You|Zhixu Li

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LightGNN: Simple Graph Neural Network for Recommendation.

Guoxuan Chen|Lianghao Xia|Chao Huang

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Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation.

Yoonhyuk Choi|Jiho Choi|Taewook Ko|Chong-Kwon Kim

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Review-Based Hyperbolic Cross-Domain Recommendation.

Yoonhyuk Choi|Jiho Choi|Taewook Ko|Chong-Kwon Kim

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Maintaining k-MinHash Signatures over Fully-Dynamic Data Streams with Recovery.

Andrea Clementi|Luciano Gualà|Luca Pepè Sciarria|Alessandro Straziota

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Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era.

Sunhao Dai|Chen Xu|Shicheng Xu|Liang Pang|Zhenhua Dong|Jun Xu

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Hyperdimensional Representation Learning for Node Classification and Link Prediction.

Abhishek Dalvi|Vasant G. Honavar

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Towards Ethical and Personalized Web Navigation Agents: A Framework for User-Aligned Task Execution.

Preetam Prabhu Srikar Dammu

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A Shopping Agent for Addressing Subjective Product Needs.

Preetam Prabhu Srikar Dammu|Omar Alonso|Barbara Poblete

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Tutorial on Recommendation with Generative Models (Gen-RecSys).

Yashar Deldjoo|Zhankui He|Julian J. McAuley|Anton Korikov|Scott Sanner|Arnau Ramisa|René Vidal|Maheswaran Sathiamoorthy|Atoosa Kasirzadeh|Silvia Milano

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A Contrastive Framework with User, Item and Review Alignment for Recommendation.

Hoang V. Dong|Yuan Fang|Hady W. Lauw

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Enhancing Code Search Intent with Programming Context Exploration.

Yanmin Dong|Zhenya Huang|Zheng Zhang|Guanhao Zhao|Likang Wu|Hongke Zhao|Binbin Jin|Qi Liu

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UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding.

Yi Fang|Dongzhe Fan|Sirui Ding|Ninghao Liu|Qiaoyu Tan

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Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration.

Amine Ferdjaoui|Séverine Affeldt|Mohamed Nadif

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1st Workshop on Detecting Trust, Authority, Sense and Knowledge in Online News Media Production.

Giovanni Fulantelli|Davide Taibi|Sergio Splendore|Marco Fisichella

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ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control.

Yin Gu|Kai Zhang|Qi Liu|Runlong Yu|Xin Lin|Xinjie Sun

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MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers.

Fang Guo|Wenyu Li|Honglei Zhuang|Yun Luo|Yafu Li|Le Yan|Qi Zhu|Yue Zhang

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Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification.

Malik Khizar Hayat|Shan Xue|Jia Wu|Bilal Khan|Jian Yang

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Demystify Epidemic Containment in Directed Networks: Theory and Algorithms.

Yinhan He|Chen Chen|Song Wang|Guanghui Min|Jundong Li

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Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation.

Zhankui He|Zhouhang Xie|Harald Steck|Dawen Liang|Rahul Jha|Nathan Kallus|Julian J. McAuley

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IWILDS'25: The 5th International Workshop on Investigating Learning During Web Search.

Anett Hoppe|Ran Yu|Jiqun Liu|Nilavra Bhattacharya

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Large Language Model Simulator for Cold-Start Recommendation.

Feiran Huang|Yuanchen Bei|Zhenghang Yang|Junyi Jiang|Hao Chen|Qijie Shen|Senzhang Wang|Fakhri Karray|Philip S. Yu

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Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices.

Zheng Huang|Hao Hao|Lun Du

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HyKG-CF: A Hybrid Approach for Counterfactual Prediction using Domain Knowledge.

Hao Huang|Maria-Esther Vidal

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Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.

Binbin Hu|Zhicheng An|Zhengwei Wu|Ke Tu|Ziqi Liu|Zhiqiang Zhang|Jun Zhou|Yufei Feng|Jiawei Chen

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Proposal for Workshop on Trust and Responsibility in Recommendation Systems at WSDM 2025.

Xinghai Hu|Robin Burke|Xu Liu

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Personalised Outfit Recommendation via History-aware Transformers.

Myong Chol Jung|Julien Monteil|Philip Schulz|Volodymyr Vaskovych

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Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation.

SeongKu Kang|Bowen Jin|Wonbin Kweon|Yu Zhang|Dongha Lee|Jiawei Han|Hwanjo Yu

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Sigmoid Similarity in Semantic HCP Networks: An Approach for Context Aware Search and Recommendations.

Pallavi Karanth

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Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling.

Daiki Katsuragawa|Yusuke Kaneko|Kaito Ariu|Kenshi Abe

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Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness.

Junghoon Kim|Junmo Lee|Yeonjun In|Kanghoon Yoon|Chanyoung Park

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SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation.

Chaejeong Lee|Jeongwhan Choi|Hyowon Wi|Sung-Bae Cho|Noseong Park

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HaGAR: Hardness-aware Generative Adversarial Recommender.

Yuan-Heng Lee|Josh Jia-Ching Ying|Vincent S. Tseng

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ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning.

Zhongnian Li|Meng Wei|Peng Ying|Xinzheng Xu

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Density-aware and Cluster-based Federated Anomaly Detection on Data Streams.

Bin Li|Li Cheng|Zheng Qin|Yunlong Wu

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Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration.

Hongji Li|Hanwen Du|Youhua Li|Junchen Fu|Chunxiao Li|Ziyi Zhuang|Jiakang Li|Yongxin Ni

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HTEA: Heterogeneity-aware Embedding Learning for Temporal Entity Alignment.

Jiayun Li|Wen Hua|Fengmei Jin|Xue Li

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DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.

Wuchao Li|Rui Huang|Haijun Zhao|Chi Liu|Kai Zheng|Qi Liu|Na Mou|Guorui Zhou|Defu Lian|Yang Song|Wentian Bao|Enyun Yu|Wenwu Ou

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Incomplete Multi-view Clustering via Local Reasoning and Correlation Analysis.

Xiaocui Li|Guoliang Li|Xinyu Zhang|Yangtao Wang|Qingyu Shi|Wei Liang

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RetriEVAL: Evaluating Text Generation with Contextualized Lexical Match.

Zhen Li|Xinchi Li|Chongyang Tao|Jiazhan Feng|Tao Shen|Can Xu|Hao Wang|Dongyan Zhao|Shuai Ma

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Inductive Graph Few-shot Class Incremental Learning.

Yayong Li|Peyman Moghadam|Can Peng|Nan Ye|Piotr Koniusz

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How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective.

Siyi Lin|Chongming Gao|Jiawei Chen|Sheng Zhou|Binbin Hu|Yan Feng|Chun Chen|Can Wang

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Robust Information Retrieval.

Yu-An Liu|Ruqing Zhang|Jiafeng Guo|Maarten de Rijke

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Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions.

Hongtao Liu|Luxi Chen|Yiming Ding|Changcheng Li|Han Li|Peng Jiang|Weiran Shen

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An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation.

Junrui Liu|Tong Li|Di Wu|Zifang Tang|Yuan Fang|Zhen Yang

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Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior Sequences.

Xuanzhou Liu|Zhibo Xiao|Luwei Yang|Hansheng Xue|Jianxing Ma|Yujiu Yang

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Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation.

Mingrui Liu|Sixiao Zhang|Cheng Long

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DiffGraph: Heterogeneous Graph Diffusion Model.

Zongwei Li|Lianghao Xia|Hua Hua|Shijie Zhang|Shuangyang Wang|Chao Huang

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Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks.

Junliang Luo|Xue Liu

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Zero-Shot Image Moderation in Google Ads with LLM-Assisted Textual Descriptions and Cross-modal Co-embeddings.

Enming Luo|Wei Qiao|Katie Warren|Jingxiang Li|Eric Xiao|Krishna Viswanathan|Yuan Wang|Yintao Liu|Jimin Li|Ariel Fuxman

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AMLCDR: An Adaptive Meta-Learning Model for Cross-Domain Recommendation by Aligning Preference Distributions.

Fanqi Meng|Zhiyuan Zhang

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Untapping the Power of Indirect Relationships in Entity Summarization.

Atefeh Moradan|Mohammad Sorkhpar|Atsushi Miyauchi|Davide Mottin|Ira Assent

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DDualSE: Decoupled Dual-head Squeeze and Excitation Attention for Sequential Recommendation.

Nijia Mo|Jianxiang Zang|Zhan Wang|Hui Liu

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Navigating the Hype and Embracing the Hope: The Future of Generative AI in Retail Product Discovery.

Darshan Nagaraja

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An Edge-Based Decomposition Framework for Temporal Networks.

Lutz Oettershagen|Athanasios L. Konstantinidis|Giuseppe F. Italiano

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Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation.

Rongqing Kenneth Ong|Andy W. H. Khong

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Combating Heterogeneous Model Biases in Recommendations via Boosting.

Jinhao Pan|James Caverlee|Ziwei Zhu

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Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising.

Zheng Pan|Xingyu Lou|Xiao Jin|Chiye Ou|Feng Liu|Tieyong Zeng|Chengwei He|Xiang Liu|Lilong Wei|Jun Wang

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CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders.

Jongwon Park|Heesoo Jung|Hogun Park

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Temporal Linear Item-Item Model for Sequential Recommendation.

Seongmin Park|Mincheol Yoon|Minjin Choi|Jongwuk Lee

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Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color Assortativity.

Giulia Preti|Matteo Riondato|Aristides Gionis|Gianmarco De Francisci Morales

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Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs.

Disha Purohit|Yashrajsinh Chudasama|Maria-Esther Vidal

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Personalization At Doordash: From Conversion Modeling To Multi-objective Long-term Value Optimization.

Qilin Qi

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Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning.

Yiyue Qian|Tianyi Ma|Chuxu Zhang|Yanfang Ye

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LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework.

Yiran Qiao|Xiang Ao|Yang Liu|Jiarong Xu|Xiaoqian Sun|Qing He

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Graph Size-imbalanced Learning with Energy-guided Structural Smoothing.

Jiawen Qin|Pengfeng Huang|Qingyun Sun|Cheng Ji|Xingcheng Fu|Jianxin Li

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Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information.

Zihan Qiu|Xiaoling Zhou|Chunyan An|Qiang Yang|Zhixu Li

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IMPO: Interpretable Memory-based Prototypical Pooling.

Alessio Ragno|Roberto Capobianco

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LLM4Eval@WSDM 2025: Large Language Model for Evaluation in Information Retrieval.

Hossein A. Rahmani|Clemencia Siro|Mohammad Aliannejadi|Nick Craswell|Charles L. A. Clarke|Guglielmo Faggioli|Bhaskar Mitra|Paul Thomas|Emine Yilmaz

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SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMs.

Eti Rastogi|Sagar Goyal|Fen Zhao|Dong Yuan

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Quam: Adaptive Retrieval through Query Affinity Modelling.

Mandeep Rathee|Sean MacAvaney|Avishek Anand

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Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation.

David Rau|Shuai Wang|Hervé Déjean|Stéphane Clinchant|Jaap Kamps

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Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems.

Rishiraj Saha Roy|Joel Schlotthauer|Chris Hinze|Andreas Foltyn|Luzian Hahn|Fabian Küch

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Building Trustworthy AI Models for Medicine: From Theory to Applications.

Soumyadeep Roy|Sowmya S. Sundaram|Dominik Wolff|Niloy Ganguly

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Disinformation and Misinformation in the Age of Generative AI.

Koustav Rudra|Niloy Ganguly|Jeanne Pia Mifsud Bonnici|Eric Müller-Budack|Ritumbra Manuvie

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Bridging Historical Subgraph Optimization and Modern Graph Neural Network Approaches in Team Recommendation.

Mahdis Saeedi|Christine Wong|Hossein Fani

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Improving FIM Code Completions via Context & Curriculum Based Learning.

Hitesh Sagtani|Rishabh Mehrotra|Beyang Liu

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BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge Capture.

Ahmad Sakor|Kuldeep Singh|Maria-Esther Vidal

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Integrating Knowledge Graphs and Neuro-Symbolic AI: LDM Enables FAIR and Federated Research Data Management.

Ahmad Sakor|Mauricio Brunet|Enrique Iglesias|Ariam Rivas|Philipp D. Rohde|Angelina Kraft|Maria-Esther Vidal

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Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval.

Ferdinand Schlatt|Maik Fröbe|Matthias Hagen

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Fact-checking Multilingual Podcasts.

Vinay Setty

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GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection.

Lingzhi Shen|Yunfei Long|Xiaohao Cai|Imran Razzak|Guanming Chen|Kang Liu|Shoaib Jameel

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Do Stubborn Users Always Cause More Polarization and Disagreement? A Mathematical Study.

Mohammad Shirzadi|Ahad N. Zehmakan

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Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives.

Anna Sokol|Matthew L. Sisk|Josefina Echavarría Alvarez|Nitesh V. Chawla

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The Generalization and Error Detection in LLM-based Text-to-SQL Systems.

Oleg Somov

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Don't Forget This: Augmenting Results with Event-Aware Search.

Hugo O. Sousa|Austin R. Ward|Omar Alonso

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A Systematic Evaluation of Single-Cell Foundation Models on Cell-Type Classification Task.

Nicolas Steiner|Ziteng Li|Omid Vosoughi|Johanna Schrader|Soumyadeep Roy|Wolfgang Nejdl|Ming Tang

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Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records.

Maryam Tabar|Anusha Abdulla|J. Andrew Petersen|Dongwon Lee

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VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User Memory.

Nhu-Thuat Tran|Hady W. Lauw

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LiveFC: A System for Live Fact-Checking of Audio Streams.

Venktesh V|Vinay Setty

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Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding.

Zhe Wang|Sheng Zhou|Jiawei Chen|Zhen Zhang|Binbin Hu|Yan Feng|Chun Chen|Can Wang

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Heterophilic Graph Neural Networks Optimization with Causal Message-passing.

Botao Wang|Jia Li|Heng Chang|Keli Zhang|Fugee Tsung

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Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation.

Yidan Wang|Xuri Ge|Xin Chen|Ruobing Xie|Su Yan|Xu Zhang|Zhumin Chen|Jun Ma|Xin Xin

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Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood.

Yueqi Wang|Zhankui He|Zhenrui Yue|Julian J. McAuley|Dong Wang

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Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data Sources.

Lulu Wang|Chengqing Li

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Mining Topics towards ChatGPT Using a Disentangled Contextualized-neural Topic Model.

Rui Wang|Xing Liu|Yanan Wang|Shuyu Chang|Yuanzhi Yao|Haiping Huang

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Sequential Diversification with Provable Guarantees.

Honglian Wang|Sijing Tu|Aristides Gionis

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WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights.

Xiangqi Wang|Tianyu Yang|Jason R. Rohr|Brett Scheffers|Nitesh V. Chawla|Xiangliang Zhang

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Training MLPs on Graphs without Supervision.

Zehong Wang|Zheyuan Zhang|Chuxu Zhang|Yanfang Ye

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Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction.

Qinyuan Wu|Mohammad Aflah Khan|Soumi Das|Vedant Nanda|Bishwamittra Ghosh|Camila Kolling|Till Speicher|Laurent Bindschaedler|Krishna P. Gummadi|Evimaria Terzi

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Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.

Chenyuan Wu|Ninglu Shao|Zheng Liu|Shitao Xiao|Chaozhuo Li|Chen Zhang|Senzhang Wang|Defu Lian

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S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain.

Rui Xia|Yanhua Cheng|Yongxiang Tang|Xiaocheng Liu|Xialong Liu|Lisong Wang|Peng Jiang

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Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation.

Jiafeng Xia|Dongsheng Li|Hansu Gu|Tun Lu|Peng Zhang|Li Shang|Ning Gu

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MixRec: Heterogeneous Graph Collaborative Filtering.

Lianghao Xia|Meiyan Xie|Yong Xu|Chao Huang

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D2: Customizing Two-Stage Graph Neural Networks for Early Rumor Detection through Cascade Diffusion Prediction.

Haowei Xu|Chao Gao|Xianghua Li|Zhen Wang

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DTPN: A Diffusion-based Traffic Purification Network for Tor Website Fingerprinting.

Chenchen Yang|Xi Xiao|Guangwu Hu|Zhen Ling|Hao Li|Bin Zhang

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UIPN: User Intent Profiling Network for Multi Behavior Modeling in CTR Prediction.

Xu Yang|Guangyuan Yu|Jun He

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Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts.

Soojin Yoon|Sungho Ko|Tongyoung Kim|SeongKu Kang|Jinyoung Yeo|Dongha Lee

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Explainable CTR Prediction via LLM Reasoning.

Xiaohan Yu|Li Zhang|Chong Chen

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Bearing Power Loss Predictions in Wind Turbine Gearbox: An Approach Based on LLMs.

Janice Anta Zebaze|Azanzi Jiomekong|Innocent Souopgui|Germaine Djuidje Kenmoe

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Robustness Verification of Deep Graph Neural Networks Tightened by Linear Approximation.

Xingyu Zeng|Han Li|Qi Qi|Jingyu Wang|Haodong Deng|Haifeng Sun|Zirui Zhuang|Jianxin Liao

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DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation.

Shuai Zhang|Hua Chu|Jianan Li|Yangtao Zhou|Shirong Wang|Qiaofei Sun

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Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation.

Siqing Zhang|Yuchen Ding|Wei Tang|Wei Sun|Yong Liao|Peng Yuan Zhou

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HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection.

Anran Zhang|Xingfen Wang|Yuhan Zhao

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FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning.

Pengyang Zhou|Chaochao Chen|Weiming Liu|Xinting Liao|Fengyuan Yu|Zhihui Fu|Xingyu Lou|Wu Wen|Xiaolin Zheng|Jun Wang

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Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning.

Shijie Zhu|Hui Zhao|Tianshu Wu|Pengjie Wang|Hongbo Deng|Jian Xu|Bo Zheng

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HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning.

Qiuyu Zhu|Liang Zhang|Qianxiong Xu|Kaijun Liu|Cheng Long|Xiaoyang Wang