Open Akansha200324 opened 1 month ago
I have implemented personalized book recommendations by incorporating user-based collaborative filtering. The model now calculates user similarity, allowing recommendations to be tailored based on individual preferences. This approach provides personalized suggestions while still supporting the original model for recommending popular books based on aggregate ratings. The update has been committed and is ready for review. Please let me know if any further changes are needed!
In this book recommendation model, recommendations are generated based on the aggregated ratings and preferences of all users, rather than being tailored to individual user behavior. The model identifies books that have been highly rated and widely enjoyed by the entire user base and suggests these popular titles to all users. This approach leverages the collective wisdom of the user community to provide book recommendations, assuming that what is generally popular will appeal to most users.
contribution needed as soon as possible.