wzhe06/Reco-papers

• highreadme#1

  Reposition README opening to highlight curated collection with code links

  原因：

  当前

  推荐系统论文、学习资料、业界分享 动态更新工作中实现或者阅读过的推荐系统相关论文、学习资料和业界分享，作为自己工作的总结，也希望能为推荐系统相关行业的同学带来便利。

  复制粘贴的修复

  复制

  精选并动态更新的经典与现代推荐系统论文、学习资料和业界分享，通常包含代码实现链接。本仓库旨在作为个人工作总结，并为推荐系统领域的学者、学生和从业者提供便利。

  待办完成忽略
• mediumtopics#2

  Add topics to clarify content type and unique value

  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, research-papers, paper-collection, code-implementations

  待办完成忽略
• lowreadme#3

  Explicitly mention inclusion of code links in README

  原因：

  复制粘贴的修复

  复制

  许多列出的论文也包含其对应的代码实现链接（通常在GitHub或其他平台），为实际应用提供实用资源。

  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 building modern recommender systems?

  你：未被推荐
  AI 推荐顺序：

  1. ACM RecSys Proceedings
  2. ACM Digital Library
  3. arXiv
  4. Google Scholar
  5. Coursera
  6. edX
  7. University of Minnesota's specialization
  8. Netflix TechBlog
  9. Medium
  10. Towards Data Science

  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 the best deep learning resources for improving personalized item recommendation and ranking?

  你：未被推荐
  AI 推荐顺序：

  1. TensorFlow Recommenders (tensorflow/recommenders)
  2. PyTorch-Geometric (pyg-team/pytorch_geometric)
  3. Deep Graph Library (dmlc/dgl)
  4. LightFM (lyst/lightfm)
  5. RecBole (RUCAIBox/RecBole)
  6. Surprise (NicolasHug/Surprise)
  7. Hugging Face Transformers (huggingface/transformers)
  8. DeepCTR (shenweichen/DeepCTR)

  AI 推荐了 8 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？