hegongshan/Recommender-Systems-Paper
Must-read Papers for Recommender Systems (RS)
This is a curated list of essential research papers on recommender systems, organized by different approaches like collaborative filtering, deep learning, and knowledge graph methods. It provides researchers, students, and practitioners in e-commerce, content platforms, and online services with key academic works and links to PDFs to understand, implement, and improve recommendation algorithms. You get a structured overview of the field's evolution and prominent techniques.
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Use this if you are a researcher, data scientist, or engineer looking for a comprehensive, categorized collection of academic papers to deepen your understanding or build advanced recommender systems.
Not ideal if you are seeking a software library, code implementation, or a non-technical introduction to recommender systems.
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