Using Collaborative Filtering Build a user-item rating matrix; based on which correlation between each item and the user, was determined and with the help of 'cosine' similarity metrics, user-based and item-based recommendation function was created which would determine the similar users to the given user input and determine the similar item of the given item to the user as a result.
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Build a user-item rating matrix; based on which correlation between each item and the user, was determined and with the help of 'cosine' similarity metrics, user-based and item-based recommendation function was created which would determine the similar users to the given user input and determine the similar item of the given item to the user as …
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ArpitaChatterjee/Book-Recommendation-System
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Build a user-item rating matrix; based on which correlation between each item and the user, was determined and with the help of 'cosine' similarity metrics, user-based and item-based recommendation function was created which would determine the similar users to the given user input and determine the similar item of the given item to the user as …
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