guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising resource

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2586 stars · 296 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of deep learning papers for industrial search, recommendation, and online advertising systems, organized by pipeline stages such as embedding, matching, pre-ranking, ranking, and post-ranking. It accompanies a TOIS 2026 survey paper on deep learning to rank.

Use cases

• find papers on CTR prediction models
• learn about embedding and matching techniques for recommender systems
• research deep learning to rank in search engines
• study LLM-based ranking approaches
• find reinforcement learning papers for advertising
• survey industrial recommendation system literature

When to choose

• you need a curated reading list for search, recommendation, or ads research
• you want papers organized by ranking pipeline stage
• you are writing a survey or literature review on learning to rank

When to avoid

• you need runnable code or a library rather than paper references
• you want tutorials for beginners rather than research papers

Facets

learning-resource · maturity active

machine-learning deep-learning search-engine nlp reinforcement-learning machine-learning deep-learning tutorials awesome-lists python awesome-list recommender-systems ctr-prediction cvr-prediction learning-to-rank advertising academic-papers llm-ranking search

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