koengommers/news-recommendation
PyTorch implementations of several news recommendation methods, created for my MSc thesis in Artificial Intelligence at University of Amsterdam.
This project helps news publishers and content platforms improve how they recommend articles to individual readers. By taking historical user click data and news article information, it generates personalized news feeds. The intended user is a data scientist or machine learning engineer working on content personalization for a news or media organization.
No commits in the last 6 months.
Use this if you need to experiment with and implement various state-of-the-art news recommendation algorithms to better engage your audience.
Not ideal if you are looking for a plug-and-play solution that doesn't require technical expertise in machine learning and Python.
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Last pushed
Jun 26, 2023
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