shivam1808/Recommendation-System
Recommendation System Using three different approaches Simple Recommendation Using Correlation, Using KNN and Collaborative Filtering.
This project helps businesses offer personalized product or content suggestions to their customers. It takes historical data on what users have engaged with or rated, and then outputs a list of relevant items to recommend. Anyone managing an e-commerce store, a streaming service, or a content platform could use this to improve user experience and drive engagement.
No commits in the last 6 months.
Use this if you need to build a system that suggests products, movies, articles, or other items to individual users based on their preferences or past behavior.
Not ideal if you need a recommendation system that incorporates real-time analytics, complex contextual data, or deep learning models for highly nuanced suggestions.
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Last pushed
Jul 19, 2020
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