| 2025 | Recurrent Autoregressive Linear Model for Next-Basket Recommendation. | Tereza Zmeskalov, Antoine Ledent, Martin Spisk, Pavel Kordk, Rodrigo Alves |
| 2025 | Personalized Interest Graphs for Theme-Driven User Behavior. | Oded Zinman, Nazmul Chowdhury, Leandro Fiaschetti, Yuri M. Brovman, Guy Feigenblat, Yotam Eshel |
| 2025 | Fair and Transparent Recommender Systems for Advertisements. | Dina Zilbershtein |
| 2025 | Orthogonal Low Rank Embedding Stabilization. | Kevin Zielnicki, Ko-Jen Hsiao |
| 2025 | Metadata Generation and Evaluation using LLMs - Case Study on Canonical Titles. | Sinan Zhu, Sanja Simonovikj, Darren Edmonds, Yang Sun |
| 2025 | Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. | Carolina Zheng, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Fan Xia, Gaby Nahum, Jie Lei, Yang Yang, Tao Liu, Zutian Luo, Xiaohan Wei, Dinesh Ramasamy, Jiyan Yang, Yiping Han, Lin Yang, Hangjun Xu, Rong Jin, Shuang Yang |
| 2025 | Enhancing Online Ranking Systems via Multi-Surface Co-Training for Content Understanding. | Gwendolyn Zhao, Yilin Zheng, Raghu Keshavan, Lukasz Heldt, Qian Sun, Fabio Soldo, Li Wei, Aniruddh Nath, Nikhil Khani, Weilong Yang, Dapo Omidiran, Rein Zhang, Mei Chen, Lichan Hong, Xinyang Yi |
| 2025 | Model Meets Knowledge: Analyzing Knowledge Types for Conversational Recommender Systems. | Jujia Zhao, Yumeng Wang, Zhaochun Ren, Suzan Verberne |
| 2025 | Multi-Granularity Distribution Modeling for Video Watch Time Prediction via Exponential-Gaussian Mixture Network. | Xu Zhao, Ruibo Ma, Jiaqi Chen, Weiqi Zhao, Ping Yang, Yao Hu |
| 2025 | LANCE: Exploration and Reflection for LLM-based Textual Attacks on News Recommender Systems. | Yuyue Zhao, Jin Huang, Shuchang Liu, Jiancan Wu, Xiang Wang, Maarten de Rijke |
| 2025 | Test-Time Alignment with State Space Model for Tracking User Interest Shifts in Sequential Recommendation. | Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen |
| 2025 | SGCL: Unifying Self-Supervised and Supervised Learning for Graph Recommendation. | Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu |
| 2025 | Are We Really Making Recommendations Robust? Revisiting Model Evaluation for Denoising Recommendation. | Guohang Zeng, Jie Lu, Guangquan Zhang |
| 2025 | Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025). | Eva Zangerle, Alan Said, Christine Bauer |
| 2025 | Learning geometry-aware recommender systems with manifold regularization. | Zaira Zainulabidova, Julia Borisova, Alexander Hvatov |
| 2025 | Unified Survey Modeling to Limit Negative User Experiences in Recommendation Systems. | Chenghui Yu, Haoze Wu, Jian Ding, Bingfeng Deng, Hongyu Xiong |
| 2025 | Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations. | Viacheslav Yusupov, Maxim V. Rakhuba, Evgeny Frolov |
| 2025 | Rethinking Overconfidence in VAEs: Can Label Smoothing Help? | Woo-Seong Yun, Yeojun Choi, Yoon-Sik Cho |
| 2025 | Affect-aware Cross-Domain Recommendation for Art Therapy via Music Preference Elicitation. | Bereket Abera Yilma, Luis A. Leiva |
| 2025 | ArtAICare: An End-to-End Platform for Personalized Art Therapy. | Bereket Abera Yilma, Saravanakumar Duraisamy, Stefan Penchev, Tudor Pristav, Luis A. Leiva |
| 2025 | Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest. | Xiao Yang, Mehdi Ayed, Longyu Zhao, Fan Zhou, Yuchen Shen, Abe Engle, Jinfeng Zhuang, Ling Leng, Jiajing Xu, Charles Rosenberg, Prathibha Deshikachar |
| 2025 | Improving Visual Recommendation on E-commerce Platforms Using Vision-Language Models. | Yuki Yada, Sho Akiyama, Ryo Watanabe, Yuta Ueno, Yusuke Shido, Andre Rusli |
| 2025 | RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation. | Renzhi Wu, Junjie Yang, Li Chen, Hong Li, Li Yu, Hong Yan |
| 2025 | IP2: Entity-Guided Interest Probing for Personalized News Recommendation. | Youlin Wu, Yuanyuan Sun, Xiaokun Zhang, Haoxi Zhan, Bo Xu, Liang Yang, Hongfei Lin |
| 2025 | Identifying Offline Metrics that Predict Online Impact: A Pragmatic Strategy for Real-World Recommender Systems. | Timo Wilm, Philipp Normann |