WSDM A

151 papers

YearTitle / Authors
20251st Workshop on Detecting Trust, Authority, Sense and Knowledge in Online News Media Production.
Giovanni Fulantelli, Davide Taibi, Sergio Splendore, Marco Fisichella
2025A Contrastive Framework with User, Item and Review Alignment for Recommendation.
Hoang V. Dong, Yuan Fang, Hady W. Lauw
2025A Shopping Agent for Addressing Subjective Product Needs.
Preetam Prabhu Srikar Dammu, Omar Alonso, Barbara Poblete
2025A Sublinear Algorithm for Approximate Shortest Paths in Large Networks.
Sabyasachi Basu, Nadia Koshima, Talya Eden, Omri Ben-Eliezer, C. Seshadhri
2025A 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
2025AMLCDR: An Adaptive Meta-Learning Model for Cross-Domain Recommendation by Aligning Preference Distributions.
Fanqi Meng, Zhiyuan Zhang
2025Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning.
Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
2025Adaptive Loss-based Curricula for Neural Team Recommendation.
Reza Barzegar, Marco Nikola Kurepa, Hossein Fani
2025Adjacent Neighborhood Transformer-based Diffusion Model for Anomaly Detection under Incomplete Industrial Data Sources.
Lulu Wang, Chengqing Li
2025Advances in Vector Search.
Sebastian Bruch
2025Advancing Voice AI for E-commerce: Tracking ASR Model Performance at Scale.
Dhruv Agarwal, Nupur Neti, Federica Cerina
2025An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation.
Junrui Liu, Tong Li, Di Wu, Zifang Tang, Yuan Fang, Zhen Yang
2025An Edge-Based Decomposition Framework for Temporal Networks.
Lutz Oettershagen, Athanasios L. Konstantinidis, Giuseppe F. Italiano
2025BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling.
Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
2025Balancing Revenue and Privacy with Signaling Schemes in Online Ad Auctions.
Hongtao Liu, Luxi Chen, Yiming Ding, Changcheng Li, Han Li, Peng Jiang, Weiran Shen
2025Bearing Power Loss Predictions in Wind Turbine Gearbox: An Approach Based on LLMs.
Janice Anta Zebaze, Azanzi Jiomekong, Innocent Souopgui, Germaine Djuidje Kenmoe
2025Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation.
Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla
2025Beyond Relevance: A Demand Balancer Model for Rental Platforms with Single-Unit Inventory.
Guilherme G. Bonaldo, Pedro F. Nogueira, Tetiana Torovets, Thays F. da Silva
2025BioLinkerAI: Leveraging LLMs to Improve Biomedical Entity Linking and Knowledge Capture.
Ahmad Sakor, Kuldeep Singh, Maria-Esther Vidal
2025Bridging Historical Subgraph Optimization and Modern Graph Neural Network Approaches in Team Recommendation.
Mahdis Saeedi, Christine Wong, Hossein Fani
2025Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs.
Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang
2025Building Trustworthy AI Models for Medicine: From Theory to Applications.
Soumyadeep Roy, Sowmya S. Sundaram, Dominik Wolff, Niloy Ganguly
2025CIMAGE: Exploiting the Conditional Independence in Masked Graph Auto-encoders.
Jongwon Park, Heesoo Jung, Hogun Park
2025CRS Arena: Crowdsourced Benchmarking of Conversational Recommender Systems.
Nolwenn Bernard, Hideaki Joko, Faegheh Hasibi, Krisztian Balog
2025Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration.
Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif
2025Combating Heterogeneous Model Biases in Recommendations via Boosting.
Jinhao Pan, James Caverlee, Ziwei Zhu
2025Compliant Personalization for Recommended Documents in Microsoft 365 with L-Profile as an Exemplary Feature.
Matthias Braunhofer, Grzegorz Kukla, Abhishek Arun
2025Context Embeddings for Efficient Answer Generation in Retrieval-Augmented Generation.
David Rau, Shuai Wang, Hervé Déjean, Stéphane Clinchant, Jaap Kamps
2025Cross-Domain Pre-training with Language Models for Transferable Time Series Representations.
Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian
2025D
Haowei Xu, Chao Gao, Xianghua Li, Zhen Wang
2025DDualSE: Decoupled Dual-head Squeeze and Excitation Attention for Sequential Recommendation.
Nijia Mo, Jianxiang Zang, Zhan Wang, Hui Liu
2025DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems.
Jiaju Chen, Chongming Gao, Shuai Yuan, Shuchang Liu, Qingpeng Cai, Peng Jiang
2025DTPN: A Diffusion-based Traffic Purification Network for Tor Website Fingerprinting.
Chenchen Yang, Xi Xiao, Guangwu Hu, Zhen Ling, Hao Li, Bin Zhang
2025DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation.
Shuai Zhang, Hua Chu, Jianan Li, Yangtao Zhou, Shirong Wang, Qiaofei Sun
2025Demystify Epidemic Containment in Directed Networks: Theory and Algorithms.
Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li
2025Density-aware and Cluster-based Federated Anomaly Detection on Data Streams.
Bin Li, Li Cheng, Zheng Qin, Yunlong Wu
2025DiffGraph: Heterogeneous Graph Diffusion Model.
Zongwei Li, Lianghao Xia, Hua Hua, Shijie Zhang, Shuangyang Wang, Chao Huang
2025DimeRec: 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
2025Disinformation and Misinformation in the Age of Generative AI.
Koustav Rudra, Niloy Ganguly, Jeanne Pia Mifsud Bonnici, Eric Müller-Budack, Ritumbra Manuvie
2025Do Stubborn Users Always Cause More Polarization and Disagreement? A Mathematical Study.
Mohammad Shirzadi, Ahad N. Zehmakan
2025Don't Forget This: Augmenting Results with Event-Aware Search.
Hugo O. Sousa, Austin R. Ward, Omar Alonso
2025Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding.
Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang
2025Dynamic Interaction-Driven Intent Evolver with Semantic Probability Distributions.
Zelin Li, Cheng Zhang, Dawei Song
2025ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning.
Zhongnian Li, Meng Wei, Peng Ying, Xinzheng Xu
2025Edge Classification on Graphs: New Directions in Topological Imbalance.
Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr
2025Edge-Centric Network Analytics.
Xueqi Cheng
2025Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling.
Daiki Katsuragawa, Yusuke Kaneko, Kaito Ariu, Kenshi Abe
2025Enhancing Code Search Intent with Programming Context Exploration.
Yanmin Dong, Zhenya Huang, Zheng Zhang, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu
2025Enhancing Medical Knowledge Discovery: A Neuro-symbolic System for Inductive Learning over Medical KGs.
Disha Purohit, Yashrajsinh Chudasama, Maria-Esther Vidal
2025Evidence 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
2025Explainable CTR Prediction via LLM Reasoning.
Xiaohan Yu, Li Zhang, Chong Chen
2025Exploration 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
2025Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices.
Zheng Huang, Hao Hao, Lun Du
2025Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation.
Mingrui Liu, Sixiao Zhang, Cheng Long
2025Fact-checking Multilingual Podcasts.
Vinay Setty
2025FedGF: 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
2025Fusion 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
2025GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection.
Lingzhi Shen, Yunfei Long, Xiaohao Cai, Imran Razzak, Guanming Chen, Kang Liu, Shoaib Jameel
2025Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning.
Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng
2025Graph 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
2025Graph Size-imbalanced Learning with Energy-guided Structural Smoothing.
Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2025HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection.
Anran Zhang, Xingfen Wang, Yuhan Zhao
2025HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning.
Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Kaijun Liu, Cheng Long, Xiaoyang Wang
2025HTEA: Heterogeneity-aware Embedding Learning for Temporal Entity Alignment.
Jiayun Li, Wen Hua, Fengmei Jin, Xue Li
2025HaGAR: Hardness-aware Generative Adversarial Recommender.
Yuan-Heng Lee, Josh Jia-Ching Ying, Vincent S. Tseng
2025Hawkes Point Process-enhanced Dynamic Graph Neural Network.
Zhiqiang Wang, Baijing Hu, Kaixuan Yao, Jiye Liang
2025Heterophilic Graph Neural Networks Optimization with Causal Message-passing.
Botao Wang, Jia Li, Heng Chang, Keli Zhang, Fugee Tsung
2025How 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
2025How Does Memorization Impact LLMs' Social Reasoning? An Assessment using Seen and Unseen Queries.
Maryam Amirizaniani, Maryna Sivachenko, Adrian Lavergne, Chirag Shah, Afra Mashhadi
2025HyKG-CF: A Hybrid Approach for Counterfactual Prediction using Domain Knowledge.
Hao Huang, Maria-Esther Vidal
2025Hyperdimensional Representation Learning for Node Classification and Link Prediction.
Abhishek Dalvi, Vasant G. Honavar
2025IMPO: Interpretable Memory-based Prototypical Pooling.
Alessio Ragno, Roberto Capobianco
2025IWILDS'25: The 5th International Workshop on Investigating Learning During Web Search.
Anett Hoppe, Ran Yu, Jiqun Liu, Nilavra Bhattacharya
2025Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior Sequences.
Xuanzhou Liu, Zhibo Xiao, Luwei Yang, Hansheng Xue, Jianxing Ma, Yujiu Yang
2025Improving FIM Code Completions via Context & Curriculum Based Learning.
Hitesh Sagtani, Rishabh Mehrotra, Beyang Liu
2025Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation.
SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu
2025Incomplete Multi-view Clustering via Local Reasoning and Correlation Analysis.
Xiaocui Li, Guoliang Li, Xinyu Zhang, Yangtao Wang, Qingyu Shi, Wei Liang
2025Inductive Graph Few-shot Class Incremental Learning.
Yayong Li, Peyman Moghadam, Can Peng, Nan Ye, Piotr Koniusz
2025InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling.
Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen
2025Integrating 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
2025LLM4Eval@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
2025LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework.
Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He
2025Large 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
2025Large Language Model driven Policy Exploration for Recommender Systems.
Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2025LightGNN: Simple Graph Neural Network for Recommendation.
Guoxuan Chen, Lianghao Xia, Chao Huang
2025Lighter 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
2025Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval.
Ferdinand Schlatt, Maik Fröbe, Matthias Hagen
2025LiveFC: A System for Live Fact-Checking of Audio Streams.
Venktesh V, Vinay Setty
2025MCRanker: 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
2025Maintaining
Andrea Clementi, Luciano Gualà, Luca Pepè Sciarria, Alessandro Straziota
2025MedTransTab: Advancing Medical Cross-Table Tabular Data Generation.
Yuyan Chen, Qingpei Guo, Shuangjie You, Zhixu Li
2025Mind Over Machine: Evaluating Theory of Mind Reasoning in LLMs and Humans.
Maryam Amirizaniani
2025Mining Topics towards ChatGPT Using a Disentangled Contextualized-neural Topic Model.
Rui Wang, Xing Liu, Yanan Wang, Shuyu Chang, Yuanzhi Yao, Haiping Huang
2025Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation.
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
2025MixRec: Heterogeneous Graph Collaborative Filtering.
Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang
2025MoKGNN: 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
2025Navigating the Hype and Embracing the Hope: The Future of Generative AI in Retail Product Discovery.
Darshan Nagaraja
2025Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information.
Zihan Qiu, Xiaoling Zhou, Chunyan An, Qiang Yang, Zhixu Li
2025Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks.
Junliang Luo, Xue Liu
2025Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation.
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
2025Personalised Outfit Recommendation via History-aware Transformers.
Myong Chol Jung, Julien Monteil, Philip Schulz, Volodymyr Vaskovych
2025Personalization At Doordash: From Conversion Modeling To Multi-objective Long-term Value Optimization.
Qilin Qi
2025Polaris: Sampling from the Multigraph Configuration Model with Prescribed Color Assortativity.
Giulia Preti, Matteo Riondato, Aristides Gionis, Gianmarco De Francisci Morales
2025Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records.
Maryam Tabar, Anusha Abdulla, J. Andrew Petersen, Dongwon Lee
2025Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation.
Siqing Zhang, Yuchen Ding, Wei Tang, Wei Sun, Yong Liao, Peng Yuan Zhou
2025ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control.
Yin Gu, Kai Zhang, Qi Liu, Runlong Yu, Xin Lin, Xinjie Sun
2025Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
Wolfgang Nejdl, Sören Auer, Meeyoung Cha, Marie-Francine Moens, Marc Najork
2025Progressive 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
2025Proposal for Workshop on Trust and Responsibility in Recommendation Systems at WSDM 2025.
Xinghai Hu, Robin Burke, Xu Liu
2025Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection.
Jiazhen Chen, Mingbin Feng, Tony S. Wirjanto
2025Q-DISCO: Query-Centric Densest Subgraphs in Networks with Opinion Information.
Tianyi Chen, Atsushi Miyauchi, Charalampos E. Tsourakakis
2025Quam: Adaptive Retrieval through Query Affinity Modelling.
Mandeep Rathee, Sean MacAvaney, Avishek Anand
2025Query Performance Prediction: Theory, Techniques and Applications.
Negar Arabzadeh, Chuan Meng, Mohammad Aliannejadi, Ebrahim Bagheri
2025RSM: Reinforced Subgraph Matching Framework with Fine-grained Operation based Search Plan.
Ziming Li, Yuequn Dou, Youhuan Li, Xinhuan Chen, Chuxu Zhang
2025Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation.
Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley
2025RetriEVAL: 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
2025Review-Based Hyperbolic Cross-Domain Recommendation.
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
2025Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness.
Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park
2025Robust Information Retrieval.
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke
2025Robustness 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
2025S-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
2025SAGESSE: 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
2025SCONE: 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
2025Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification.
Malik Khizar Hayat, Shan Xue, Jia Wu, Bilal Khan, Jian Yang
2025Sequential Diversification with Provable Guarantees.
Honglian Wang, Sijing Tu, Aristides Gionis
2025Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users.
Jongjin Kim, U Kang
2025Sigmoid Similarity in Semantic HCP Networks: An Approach for Context Aware Search and Recommendations.
Pallavi Karanth
2025SpecialtyScribe: Enhancing SOAP note Scribing for Medical Specialties using LLMs.
Eti Rastogi, Sagar Goyal, Fen Zhao, Dong Yuan
2025Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation.
Rongqing Kenneth Ong, Andy W. H. Khong
2025Teach 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
2025Temporal Linear Item-Item Model for Sequential Recommendation.
Seongmin Park, Mincheol Yoon, Minjin Choi, Jongwuk Lee
2025The Generalization and Error Detection in LLM-based Text-to-SQL Systems.
Oleg Somov
2025The Initial Screening Order Problem.
José M. Álvarez, Antonio Mastropietro, Salvatore Ruggieri
2025Towards Ethical and Personalized Web Navigation Agents: A Framework for User-Aligned Task Execution.
Preetam Prabhu Srikar Dammu
2025Towards 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
2025Towards 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
2025Towards Secure and Robust Recommender Systems: A Data-Centric Perspective.
Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao
2025Training MLPs on Graphs without Supervision.
Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
2025Tutorial 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
2025UIPN: User Intent Profiling Network for Multi Behavior Modeling in CTR Prediction.
Xu Yang, Guangyuan Yu, Jun He
2025UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding.
Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan
2025Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era.
Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu
2025Unsupervised 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
2025Untapping the Power of Indirect Relationships in Entity Summarization.
Atefeh Moradan, Mohammad Sorkhpar, Atsushi Miyauchi, Davide Mottin, Ira Assent
2025Using Photon-Counting CT Images for Lung Nodule Classification.
Leonie Basso, Zahra Ahmadi, Steffen Oeltze-Jafra, Eike Petersen, Hoen-oh Shin, Andrea Schenk
2025VARIUM: Variational Autoencoder for Multi-Interest Representation with Inter-User Memory.
Nhu-Thuat Tran, Hady W. Lauw
2025Ventana 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
2025WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights.
Xiangqi Wang, Tianyu Yang, Jason R. Rohr, Brett Scheffers, Nitesh V. Chawla, Xiangliang Zhang
2025Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems.
Hongliu Cao
2025Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood.
Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2025Zero-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