Gbolahan-Aziz/Recommender_Systems
A repository for Tensorflow TFRS models
This project helps you create personalized anime recommendations for users based on their viewing history and ratings. By taking user ratings and anime details, it generates suggestions for other anime titles they might enjoy. This is useful for anyone managing a platform where users consume content, like a streaming service or an online community for media.
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Use this if you need to offer tailored anime suggestions to users, improving their experience and engagement with your platform.
Not ideal if your recommendation needs extend beyond anime or if you require a system that incorporates real-time sentiment analysis or external social data.
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Dec 21, 2021
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