ShawonBarman/E-commerce_recommendation_system
This Django-based E-commerce recommendation system uses machine learning models to provide product recommendations based on user input and similarity scores. It scrapes data from Amazon, preprocesses it, and displays product recommendations in a user-friendly interface.
This system helps e-commerce businesses provide personalized product recommendations to their customers. When a customer enters a product they are interested in, the system uses its Amazon-scraped product data to suggest similar items. It's designed for e-commerce store owners or marketing managers looking to enhance their site's user experience and drive sales.
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Use this if you want to implement a basic product recommendation feature on your e-commerce platform using a pre-existing dataset derived from Amazon product information.
Not ideal if you need a recommendation system that integrates directly with your existing product catalog database or requires real-time data updates from your own store's inventory.
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Jupyter Notebook
License
MIT
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Last pushed
Sep 03, 2023
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