Build a recommendation engine which suggests similar products (apparel) to the given product (apparel) in any e-commerce websites.
Statement:
Personalized product recommendations are the alternative way of navigating through the online shop. More people find products they need , even if they didn’t think of them.
Build a recommendation engine which suggests similar products to the given product in any e-commerce websites ex. Amazon.com, myntra.com etc.
Objective:
The recommendation engine, uses information about 1,83,000 products and each product will have multiple features named
- asin ( Amazon standard identification number)
- brand ( brand to which the product belongs to )
- color ( Color information of apparel, it can contain many colors as a value ex: red and black stripes )
- product_type_name (type of the apperal, ex: SHIRT/TSHIRT )
- medium_image_url ( url of the image )
- title (title of the product.)
- formatted_price (price of the product)
Data Source : amazon.com Dataset : https://drive.google.com/file/d/1pLSMmJNzmlkQhwSHhecDwHcb0C8mzG0Q/view?usp=sharing