hongleizhang/RSPapers

Organizes 17 specialized research categories spanning classical collaborative filtering through emerging domains like LLM-based and agentic recommender systems, with papers taxonomized by problem type (cold-start, explainability, CTR prediction) and technical approach (deep learning, knowledge graphs, conversational systems). Curated weekly with conference tutorials from top-tier venues (RecSys, SIGIR, CIKM) providing systematic progression from foundational surveys to cutting-edge applications in privacy-preserving and agent-driven recommendations. Accepts community contributions via pull requests to maintain comprehensive coverage of the recommender systems literature landscape.

6,452 stars. Actively maintained with 3 commits in the last 30 days.