News recommendation system github

Here are some GitHub repositories for news recommendation systems:

  1. NewsRec: A Python-based news recommendation system that uses collaborative filtering and content-based filtering techniques. GitHub
  2. NewsRank: A Java-based news recommendation system that uses a combination of collaborative filtering, content-based filtering, and matrix factorization techniques. GitHub
  3. NewsRecsys: A Python-based news recommendation system that uses a combination of collaborative filtering, content-based filtering, and deep learning techniques. GitHub
  4. NewsRecommender: A Java-based news recommendation system that uses a combination of collaborative filtering, content-based filtering, and matrix factorization techniques. GitHub
  5. DeepNews: A Python-based news recommendation system that uses a deep learning approach to learn user preferences and recommend news articles. GitHub
  6. NewsRanking: A Python-based news recommendation system that uses a combination of collaborative filtering, content-based filtering, and matrix factorization techniques. GitHub
  7. RecNews: A Python-based news recommendation system that uses a combination of collaborative filtering, content-based filtering, and deep learning techniques. GitHub
  8. NewsRecsys: A Python-based news recommendation system that uses a combination of collaborative filtering, content-based filtering, and matrix factorization techniques. GitHub
  9. NewsRank: A Java-based news recommendation system that uses a combination of collaborative filtering, content-based filtering, and matrix factorization techniques. GitHub
  10. NewsRecommender: A Python-based news recommendation system that uses a combination of collaborative filtering, content-based filtering, and deep learning techniques. GitHub

These repositories provide a good starting point for building a news recommendation system. You can explore the code, understand the algorithms used, and modify them to suit your specific requirements.