huangy22/NewsRecommender
A news recommendation system tailored for user communities
This helps news organizations and online publishers improve how they suggest articles to readers. It takes in news article content and user reading history (like Twitter retweets) and outputs personalized news recommendations. News editors, content strategists, and audience engagement managers can use this to keep readers engaged.
208 stars. No commits in the last 6 months.
Use this if you want to provide diverse news recommendations, especially for new users, by leveraging content details and the reading habits of similar user communities.
Not ideal if you need strictly individual recommendations that don't consider the interests of broader user groups.
Stars
208
Forks
87
Language
Jupyter Notebook
License
—
Category
Last pushed
Jun 29, 2017
Commits (30d)
0
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