hongleizhang/RSPapers
RSTutorials: A Curated List of Must-read Papers on Recommender System.
This project offers a meticulously organized collection of research papers and tutorials focused on recommender systems. It takes various technical approaches and real-world challenges within recommendation engines and provides academic and industrial insights. Anyone who designs, develops, or researches recommendation features for products and services will find this a valuable resource.
6,452 stars.
Use this if you need to understand the latest research, practical applications, or fundamental concepts behind building effective recommender systems.
Not ideal if you are looking for ready-to-use code, software, or immediate implementation guidance without delving into academic literature.
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6,452
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MIT
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Last pushed
Mar 12, 2026
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