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CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System., and . CoRR, (2024)Multimedia Recommender Systems: Algorithms and Challenges., , , , and . Recommender Systems Handbook, Springer US, (2022)RecSys challenge 2019: session-based hotel recommendations., , , , , and . RecSys, page 570-571. ACM, (2019)How to put users in control of their data in federated top-N recommendation with learning to rank., , , , and . SAC, page 1359-1362. ACM, (2021)Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective., , , , , , and . IIR, volume 3448 of CEUR Workshop Proceedings, page 79-84. CEUR-WS.org, (2023)A Regression Framework to Interpret the Robustness of Recommender Systems Against Shilling Attacks., , , and . IIR, volume 2947 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario., , , and . EAIS, page 1-8. IEEE, (2020)Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels., , , , , , and . KaRS@RecSys, volume 3294 of CEUR Workshop Proceedings, page 29-35. CEUR-WS.org, (2022)Using Visual Features and Latent Factors for Movie Recommendation., , and . CBRecSys@RecSys, volume 1673 of CEUR Workshop Proceedings, page 15-18. CEUR-WS.org, (2016)Recommender Systems Fairness Evaluation via Generalized Cross Entropy., , , , and . RMSE@RecSys, volume 2440 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)