Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis

17 January 2025

Papers citing "Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis"

8 / 8 papers shown

Title
Preserving Privacy and Utility in LLM-Based Product Recommendations Tina Khezresmaeilzadeh Jiang Zhang Dimitrios Andreadis Konstantinos Psounis 30 0 0 02 May 2025
See Where You Read with Eye Gaze Tracking and Large Language Model Sikai Yang Gang Yan Wan Du 28 0 0 28 Sep 2024
Large Language Models as Recommender Systems: A Study of Popularity Bias Jan Malte Lichtenberg Alexander K. Buchholz Pola Schwöbel 37 1 0 03 Jun 2024
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations Kirandeep Kaur Chirag Shah 34 1 0 01 May 2024
Large Language Models as Conversational Movie Recommenders: A User Study Ruixuan Sun Xinyi Li A K Akella Joseph Konstan 21 3 0 29 Apr 2024
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation Hangyu Wang Jianghao Lin Bo Chen Yang Yang Ruiming Tang Weinan Zhang Yong Yu MU 31 9 0 06 Mar 2024
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency Yashar Deldjoo LRM VLM 32 24 0 19 Jan 2024
Evaluating ChatGPT as a Recommender System: A Rigorous Approach Dario Di Palma Giovanni Maria Biancofiore V. W. Anelli F. Narducci T. D. Noia E. Sciascio ALM 38 27 0 07 Sep 2023