wzhe06/Reco-papers

• highabout#1

  Clarify GitHub description to emphasize "curated collection"

  原因：

  当前

  Classic papers and resources on recommendation

  复制粘贴的修复

  复制

  A curated collection of classic and modern research papers and learning resources on recommendation systems.

  待办完成忽略
• mediumtopics#2

  Add more specific topics related to paper collections

  原因：

  当前

  deep-learning, exploration-exploitation, machine-learning, recommendation, recommender-system, reinforcement-learning

  复制粘贴的修复

  复制

  deep-learning, exploration-exploitation, machine-learning, recommendation, recommender-system, reinforcement-learning, paper-collection, research-papers, academic-resources

  待办完成忽略
• lowreadme#3

  Add a concise English introductory sentence to the README

  原因：

  复制粘贴的修复

  复制

  This repository serves as a dynamically updated, curated collection of classic and modern research papers, learning materials, and industry insights related to recommendation systems.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Where can I find academic papers and learning materials on modern recommender systems?

  你：未被推荐
  AI 推荐顺序：

  1. ACM RecSys Proceedings
  2. ACM Digital Library
  3. arXiv.org
  4. Google Scholar
  5. Foundations and Trends® in Machine Learning
  6. Coursera
  7. edX
  8. Recommender Systems Specialization
  9. Recommender Systems: The Textbook
  10. Deep Learning for Recommender Systems

  AI 推荐了 10 个替代方案，却始终没点名 wzhe06/Reco-papers。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are essential deep learning research papers for building personalized recommendation engines?

  你：未被推荐
  AI 推荐顺序：

  1. Neural Collaborative Filtering (NCF)
  2. Deep Learning for Recommender Systems: A Survey of the State-of-the-Art
  3. Wide & Deep Learning for Recommender Systems
  4. Attention-based Deep Learning for Recommendation Systems: A Survey
  5. Sequential Recommendation with Recurrent Neural Networks
  6. Variational Autoencoders for Collaborative Filtering
  7. Graph Convolutional Neural Networks for Recommendation Systems: A Survey

  AI 推荐了 7 个替代方案，却始终没点名 wzhe06/Reco-papers。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of wzhe06/Reco-papers?

  pass
  ✓AI 明确点名了 wzhe06/Reco-papers

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts wzhe06/Reco-papers in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 wzhe06/Reco-papers

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo wzhe06/Reco-papers solve, and who is the primary audience?

  pass
  ⚠AI 未点名 wzhe06/Reco-papers —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？