| 2025 | concept2code: Sequential Recommendation with Large Language Models. | Omprakash Sonie |
| 2025 | Operational Twin-Driven AI Recommender for Strategic Service Planning. | Vivek Singh, Sarith Mohan, Chetan L. Srinidhi, Santosh Pai, Ullaskrishnan Poikavila, Codruta Ene, Ankur Kapoor, Neil Biehn, Dorin Comaniciu |
| 2025 | Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search. | Ivo Silva, Guilherme G. Bonaldo, Pedro F. Nogueira |
| 2025 | GenSAR: Unifying Balanced Search and Recommendation with Generative Retrieval. | Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Enyun Yu |
| 2025 | Popularity‑Bias Vulnerability: Semi‑Supervised Label Inference Attack on Federated Recommender Systems. | Kenji Shinoda, Takeyuki Sasai, Shintaro Fukushima |
| 2025 | Paragon: Parameter Generation for Controllable Multi-Task Recommendation. | Chenglei Shen, Jiahao Zhao, Xiao Zhang, Weijie Yu, Ming He, Jianping Fan |
| 2025 | Revisiting the Performance of Graph Neural Networks for Session-based Recommendation. | Faisal Shehzad, Dietmar Jannach |
| 2025 | "We Share Our Code Online": Why This Is Not Enough to Ensure Reproducibility and Progress in Recommender Systems Research. | Faisal Shehzad, Timo Breuer, Maria Maistro, Dietmar Jannach |
| 2025 | Addressing Multiple Hypothesis Bias in CTR Prediction for Ad Selection. | Oren Sar Shalom, Neil Daftary |
| 2025 | Biases in LLM-Generated Musical Taste Profiles for Recommendation. | Bruno Massoni Sguerra, Elena V. Epure, Harin Lee, Manuel Moussallam |
| 2025 | Rethinking the Privacy of Text Embeddings: A Reproducibility Study of "Text Embeddings Reveal (Almost) As Much As Text". | Dominykas Seputis, Yongkang Li, Karsten Langerak, Serghei Mihailov |
| 2025 | Investigating Carbon Footprint of Recommender Systems Beyond Training Time. | Josef Schodl, Oleg Lesota, Antonela Tommasel, Markus Schedl |
| 2025 | TIM-Rec: Explicit Sparse Feedback on Multi-Item Upselling Recommendations in an Industrial Dataset of Telco Calls. | Alessandro Sbandi, Federico Siciliano, Fabrizio Silvestri |
| 2025 | Unobserved Negative Items in Recommender Systems: Challenges and Solutions for Evaluation and Learning. | Masahiro Sato |
| 2025 | Stream Normalization for CTR Prediction. | Yizhou Sang, Congcong Liu, Yuying Chen, Zhiwei Fang, Xue Jiang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao |
| 2025 | Context Trails: A Dataset to Study Contextual and Route Recommendation. | Pablo Snchez, Alejandro Bellogn, Jose L. Jorro-Aragoneses |
| 2025 | SlateLLM: Distilling LLM Semantics into Session-Aware Slate Recommendation without Inference Overhead. | Aayush Singha Roy, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley |
| 2025 | Zero-shot Cross-domain Knowledge Distillation: A Case study on YouTube Music. | Srivaths Ranganathan, Chieh Lo, Bernardo Cunha, Nikhil Khani, Li Wei, Aniruddh Nath, Shawn Andrews, Gergo Varady, Yanwei Song, Jochen Klingenhoefer, Tim Steele |
| 2025 | Stairway to Fairness: Connecting Group and Individual Fairness. | Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Falk Scholer, Christina Lioma |
| 2025 | Leveraging Explicit Negative Feedback in Large-Scale Recommendation Systems: A Case Study. | Madhura Raju, Manisha Sharma, Hongyu Xiong, Bingfeng Deng, Meng Na |
| 2025 | MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation. | Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2025 | First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec). | Claudio Pomo, Dietmar Jannach, Yubin Kim, Daniele Malitesta, Alberto Carlo Maria Mancino, Julian J. McAuley, Alessandro B. Melchiorre, Shah Nawaz |
| 2025 | Probabilistic Modeling, Learnability and Uncertainty Estimation for Interaction Prediction in Movie Rating Datasets. | Jennifer Poernomo, Nicole Gabrielle Lee Tan, Rodrigo Alves, Antoine Ledent |
| 2025 | Yambda-5B - A Large-Scale Multi-Modal Dataset for Ranking and Retrieval. | Alexander Ploshkin, Vladislav Tytskiy, Alexey Pismenny, Vladimir Baikalov, Evgeny Taychinov, Artem Permiakov, Daniil Burlakov, Eugene Krofto |
| 2025 | Exploitation Over Exploration: Unmasking the Bias in Linear Bandit Recommender Offline Evaluation. | Pedro R. Pires, Gregrio F. Azevedo, Pietro Lo Presti Campos, Rafael T. Sereicikas, Tiago A. Almeida |