Vaibhav67979/Ecommerce-product-recommendation-system
Product Recommendation System is a machine learning-based project that provides personalized product recommendations to users based on their interaction history, similar users, and also the popularity of products.
This system helps e-commerce businesses provide personalized product recommendations to their customers. By analyzing customer browsing and purchase history, it generates a list of relevant products. The end result is a more tailored shopping experience for customers and increased sales for online stores.
131 stars. No commits in the last 6 months.
Use this if you manage an e-commerce platform and want to offer tailored product suggestions to your customers based on their past interactions and popular items.
Not ideal if you need a recommendation system for a domain other than e-commerce, such as content, services, or research papers.
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MIT
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Last pushed
Dec 17, 2023
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