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Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

by guyulongcs · GitHub

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recom

# advertising# ctr# cvr# deep-learning
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⭐ Stars
2.5k
🍴 Forks
290
📜 License
License not specified
📅 Created
2020
🔄 Last commit
2 mo ago
🏷️ Category
advertising
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📈 Star history
2 5492 546
2026-07-072026-07-22
📄 About

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recom

Frequently asked questions

What is 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, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recom

Is Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising open source?

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising is an open-source project.

Is Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising free?

Yes. Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising is free and open source — you can use, modify and self-host it.

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