guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Reinforcement Learning and so on.
This is a curated collection of research papers focused on improving the effectiveness of search engines, product recommendations, and digital advertising systems. It gathers academic and industrial papers exploring various techniques, including how to represent data (Embedding), find relevant items (Matching), and rank results for better user engagement. The resource is designed for practitioners who build and optimize these systems.
2,378 stars. Actively maintained with 2 commits in the last 30 days.
Use this if you are a machine learning engineer, data scientist, or researcher looking for a comprehensive list of influential papers to inform the development of your search, recommendation, or advertising algorithms.
Not ideal if you are looking for ready-to-use code, tutorials for beginners, or general deep learning resources outside of these specific application domains.
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Python
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Feb 28, 2026
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