HKUDS/RecLM
[ACL2025] "RecLM: Recommendation Instruction Tuning"
This project helps optimize recommendation systems, especially when you don't have much data about new users or items. It takes your existing user interaction data and item descriptions, then uses advanced language models and reinforcement learning to create more accurate user and item profiles. The output is enhanced profiles that plug into your current recommendation engine, helping it make better suggestions. This is for data scientists or machine learning engineers building and maintaining recommendation systems.
109 stars. No commits in the last 6 months.
Use this if you manage a recommendation system and want to improve its performance, especially in 'cold-start' situations where you have limited user or item data.
Not ideal if you are looking for an out-of-the-box recommendation system and not a component to enhance an existing one, or if you don't have experience with machine learning model fine-tuning.
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Language
Python
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Last pushed
Jun 02, 2025
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