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
Explore a collection of important research papers on deep learning techniques for search and advertising.
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Free · no card · unsubscribe anytimeAwesome 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
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising has 2.5k stars on GitHub. It has been forked 290 times. Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising is written mainly in Python. It has been in active development since 2020. Its main topics are advertising, ctr, cvr, deep-learning.
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.
What language is Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising written in?
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising is written mainly in Python.
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