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searxng 是用 Python 编写的开源项目，主题标签有限，建议打开仓库查看具体用途，主打开源免费。
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor prof…
guyulongcs / Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
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, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising 是用 Python 编写的学习资料，用于系统学习与查阅。
目前累计 2.6k star、299 fork，主要语言为 Python，项目始于 2020 年。最近状态：近半年有提交。适合：想补齐某块知识的开发者。
中文介绍优先采用本站人工维护条目；无维护条目时依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经项目方确认，不构成选型结论。guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising 是一个以 Python 为主的开源项目，目前累计 2.6k star、299 fork，近半年有提交。主要方向：advertising、ctr、cvr、深度学习、recommender-system、reinforcement-learning。
依据 GitHub 公开字段（语言、主题、星标、提交时间）自动生成，未经人工逐项核实。README
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