SamBelkacem/Ranking-social-media-news-feed
Ranking news feed updates | Comparison of supervised models
This project helps social media platform managers or data scientists improve how users experience their news feeds. By taking historical user interaction data with tweets, it identifies which posts are most relevant. The output is a method to rank news feed updates, making sure users see content they are more likely to engage with.
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Use this if you need to understand which machine learning models are most effective for predicting social media post relevance.
Not ideal if you are looking for a pre-built, production-ready system to deploy immediately without further development.
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Mar 26, 2024
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