loserChen/Awesome-Recommender-System
The collection of papers about recommender system
This collection helps researchers and practitioners in machine learning stay current with the latest advancements in creating personalized recommendations. It provides a curated list of high-quality research papers on various recommendation system techniques, saving time spent searching for relevant academic work. The primary users are researchers, data scientists, and engineers who design and implement recommender systems.
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Use this if you are developing or researching recommender systems and need to quickly find the most important recent academic papers in the field.
Not ideal if you are looking for ready-to-use software, code implementations, or introductory guides to building recommender systems.
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Mar 12, 2024
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