RSPapers

Why we included this project

This is one of the few recommendation-paper lists that actually gets updated, and that freshness is what makes it useful. The papers are grouped into more than a dozen themed sections, from the classics like collaborative filtering and social recommendation to specific problems such as cold-start, CTR prediction, explainability, and knowledge graphs. It has also picked up the recent wave of LLM-based and agentic recommender systems, which most curated lists have been slow to add. For anyone trying to get up to speed on a particular slice of the field, the tutorials and surveys are a good entry point, and the industrial papers add a practical angle you do not get from purely academic reading.