CHIANGEL/Awesome-LLM-for-RecSys
A curated collection of research papers and surveys on using large language models in recommender system pipelines.
Not currently ranked — collecting fresh signals.
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This repository aggregates academic papers and resources on LLM-enhanced recommender systems, organized by where LLMs are applied in the RS pipeline (feature engineering, representation learning, scoring, etc.). It includes a published survey paper in ACM Transactions on Information Systems and a taxonomy classifying LLM4RS research approaches.
Frequently asked
- What is CHIANGEL/Awesome-LLM-for-RecSys?
- A curated collection of research papers and surveys on using large language models in recommender system pipelines.
- Is Awesome-LLM-for-RecSys open source?
- Yes — CHIANGEL/Awesome-LLM-for-RecSys is open source, released under the MIT license.
- How popular is Awesome-LLM-for-RecSys?
- CHIANGEL/Awesome-LLM-for-RecSys has 1.5k stars on GitHub.
- Where can I find Awesome-LLM-for-RecSys?
- CHIANGEL/Awesome-LLM-for-RecSys is on GitHub at https://github.com/CHIANGEL/Awesome-LLM-for-RecSys.