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.
What is the guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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