zilliz-bootcamp/graph_based_recommend
This project uses graph convolutional neural networks to generate embeddings, and then uses Milvus retrieval to implement a recommendation system. It provides flask services and a front-end interface.
This project helps build a movie recommendation system. You provide your movie preferences (liked or disliked), and it generates personalized movie suggestions. It's designed for anyone managing or implementing a movie recommendation service, such as a streaming platform manager or a content curator.
No commits in the last 6 months.
Use this if you need to quickly set up and test a movie recommendation engine that learns from user preferences and provides personalized movie suggestions.
Not ideal if you require a recommendation system for non-movie content or need advanced customization beyond what's provided for movie data.
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Language
Python
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Last pushed
Aug 10, 2021
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