| 2025 | LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation. | Yunzhe Li, Junting Wang, Hari Sundaram, Zhining Liu |
| 2025 | Fine-tuning for Inference-efficient Calibrated Recommendations. | Oleg Lesota, Adrian Bajko, Max Walder, Matthias Wenzel, Antonela Tommasel, Markus Schedl |
| 2025 | Don't Get Ahead of Yourself: A Critical Study on Data Leakage in Offline Evaluation of Sequential Recommenders. | Huy Hoang Le, Yang Liu, Alan Medlar, Dorota Glowacka |
| 2025 | Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction. | Weijiang Lai, Beihong Jin, Yapeng Zhang, Yiyuan Zheng, Rui Zhao, Jian Dong, Jun Lei, Xingxing Wang |
| 2025 | Exploring Scaling Laws of CTR Model for Online Performance Improvement. | Weijiang Lai, Beihong Jin, Jiongyan Zhang, Yiyuan Zheng, Jian Dong, Jia Cheng, Jun Lei, Xingxing Wang |
| 2025 | Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation. | Genki Kusano, Kosuke Akimoto, Kunihiro Takeoka |
| 2025 | Never Miss an Episode: How LLMs are Powering Serial Content Discovery on YouTube. | Aditee Kumthekar, Li Wei, Andrea Bettale, Mahesh Sathiamoorthy, Zrinka Puljiz, Aditya Mahajan |
| 2025 | A Non-Parametric Choice Model That Learns How Users Choose Between Recommended Options. | Thorsten Krause, Harrie Oosterhuis |
| 2025 | Beyond Clicks: Eye-Tracking Insights into User Responses to Different Recommendation Types. | Georgios Koutroumpas, Matteo Mazzini, Sebastian Idesis, Mireia Masias Bruns, Joemon M. Jose, Sergi Abadal, Ioannis Arapakis |
| 2025 | SAGEA: Sparse Autoencoder-based Group Embeddings Aggregation for Fairness-Preserving Group Recommendations. | Vit Kostejn, Ladislav Peska, Martin Spisk |
| 2025 | SASRec in Action: Real-World Adaptations for ZDF Streaming Service. | Venkata Harshit Koneru, Xenija Neufeld, Sebastian Loth, Andreas Grn |
| 2025 | A Tutorial on Recent Advances in Generative Conversational Recommender Systems. | Thomas Elmar Kolb, Ahmadou Wagne, Ashmi Banerjee, Fatemeh Nazary, Julia Neidhardt, Yashar Deldjoo, Tommaso Di Noia |
| 2025 | Adding Value to Low-Resource Industrial Recommender Systems. | Cornelia M. Kloppers |
| 2025 | An Off-Policy Learning Approach for Steering Sentence Generation towards Personalization. | Haruka Kiyohara, Daniel Yiming Cao, Yuta Saito, Thorsten Joachims |
| 2025 | Full-Page Recommender: A Modular Framework for Multi-Carousel Recommendations. | Jan Kislinger |
| 2025 | End-to-End Time Interval-wise Segmentation for Sequential Recommendation. | Minje Kim, Wooseung Kang, Gun-Woo Kim, Chie Hoon Song, Suwon Lee, Sang-Min Choi |
| 2025 | A Dual-Key Attention Framework for Sequential Recommendation with Side Information. | Minje Kim, Wooseung Kang, Gun-Woo Kim, Chie Hoon Song, Suwon Lee, Sang-Min Choi |
| 2025 | Correcting the LogQ Correction: Revisiting Sampled Softmax for Large-Scale Retrieval. | Kirill Khrylchenko, Vladimir Baikalov, Sergei S. Makeev, Artem Matveev, Sergei Liamaev |
| 2025 | Flights Pricelock Fee Recommendation on Online Travel Agent Platform. | Akash Khetan, Narasimha Medeme, Deepak Yadav, Anmol Porwal |
| 2025 | VisualReF: Interactive Image Search Prototype with Visual Relevance Feedback. | Bulat Khaertdinov, Mirela Popa, Nava Tintarev |
| 2025 | Scalable Data Debugging for Neighborhood-based Recommendation with Data Shapley Values. | Barrie Kersbergen, Olivier Sprangers, Bojan Karlas, Maarten de Rijke, Sebastian Schelter |
| 2025 | Mapping Stakeholder Needs to Multi-Sided Fairness in Candidate Recommendation for Algorithmic Hiring. | Mesut Kaya, Toine Bogers |
| 2025 | The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender Systems. | Petr Kasalick, Martin Spisk, Vojtech Vancura, Daniel Bohunek, Rodrigo Alves, Pavel Kordk |
| 2025 | Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems. | Li Kang, Yuhan Zhao, Li Chen |
| 2025 | Scaling Retrieval for Web-Scale Recommenders: Lessons from Inverted Indexes to Embedding Search. | Yuchin Juan, Jianqiang Shen, Shaobo Zhang, Qianqi Shen, Caleb Johnson, Luke Simon, Liangjie Hong, Wenjing Zhang |