| 2025 | HaGAR: Hardness-aware Generative Adversarial Recommender. | Yuan-Heng Lee, Josh Jia-Ching Ying, Vincent S. Tseng |
| 2025 | 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 |
| 2025 | Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness. | Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park |
| 2025 | Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling. | Daiki Katsuragawa, Yusuke Kaneko, Kaito Ariu, Kenshi Abe |
| 2025 | Sigmoid Similarity in Semantic HCP Networks: An Approach for Context Aware Search and Recommendations. | Pallavi Karanth |
| 2025 | 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 |
| 2025 | Personalised Outfit Recommendation via History-aware Transformers. | Myong Chol Jung, Julien Monteil, Philip Schulz, Volodymyr Vaskovych |
| 2025 | Proposal for Workshop on Trust and Responsibility in Recommendation Systems at WSDM 2025. | Xinghai Hu, Robin Burke, Xu Liu |
| 2025 | 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 |
| 2025 | HyKG-CF: A Hybrid Approach for Counterfactual Prediction using Domain Knowledge. | Hao Huang, Maria-Esther Vidal |
| 2025 | Exploring the Explainability of Time Series Clustering: A Review of Methods and Practices. | Zheng Huang, Hao Hao, Lun Du |
| 2025 | 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 |
| 2025 | IWILDS'25: The 5th International Workshop on Investigating Learning During Web Search. | Anett Hoppe, Ran Yu, Jiqun Liu, Nilavra Bhattacharya |
| 2025 | 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 |
| 2025 | Demystify Epidemic Containment in Directed Networks: Theory and Algorithms. | Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li |
| 2025 | Self-supervised Time-aware Heterogeneous Hypergraph Learning for Dynamic Graph-level Classification. | Malik Khizar Hayat, Shan Xue, Jia Wu, Bilal Khan, Jian Yang |
| 2025 | 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 |
| 2025 | ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control. | Yin Gu, Kai Zhang, Qi Liu, Runlong Yu, Xin Lin, Xinjie Sun |
| 2025 | 1st Workshop on Detecting Trust, Authority, Sense and Knowledge in Online News Media Production. | Giovanni Fulantelli, Davide Taibi, Sergio Splendore, Marco Fisichella |
| 2025 | Cluster Insight: A Weighted Clustering Tool for Large Textual Data Exploration. | Amine Ferdjaoui, Sverine Affeldt, Mohamed Nadif |
| 2025 | UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding. | Yi Fang, Dongzhe Fan, Sirui Ding, Ninghao Liu, Qiaoyu Tan |
| 2025 | Enhancing Code Search Intent with Programming Context Exploration. | Yanmin Dong, Zhenya Huang, Zheng Zhang, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu |
| 2025 | A Contrastive Framework with User, Item and Review Alignment for Recommendation. | Hoang V. Dong, Yuan Fang, Hady W. Lauw |
| 2025 | Tutorial on Recommendation with Generative Models (Gen-RecSys). | Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, Ren Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano |
| 2025 | A Shopping Agent for Addressing Subjective Product Needs. | Preetam Prabhu Srikar Dammu, Omar Alonso, Barbara Poblete |