CHIANGEL/Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
This resource provides a comprehensive collection of research papers and materials exploring how large language models (LLMs) can enhance recommender systems. It organizes recent advancements in areas like feature engineering, user/item representation, and explanation generation, offering a structured overview of this rapidly evolving field. Researchers and practitioners in recommender systems, particularly those interested in leveraging cutting-edge AI for improved personalization, will find this collection valuable.
1,519 stars.
Use this if you are a researcher or practitioner in recommender systems looking to understand the latest applications and techniques involving large language models.
Not ideal if you are a business user seeking a ready-to-deploy LLM-powered recommendation solution or an engineer looking for direct code implementations.
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Jan 17, 2026
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