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Building a Recommender System for Amazon Products with Python
I built a recommender system for Amazon’s electronics category
Introduction
The project’s goal is to partially recreate the Amazon Product Recommender System for the Electronics product category.
It’s November and Black Friday is here! What type of shopper are you? Do you save all the products you would like to buy for the day or would you rather open the website and see the live offers with their great discounts?
Even though online shops have been incredibly successful in the past decade, showing huge potential and growth, one of the fundamental differences between a physical and online store is the consumers’ impulse purchases.
If clients are presented with an assortment of products, they’re much more likely to purchase an item they didn’t originally plan on purchasing. The phenomenon of impulse buying is incredibly limited by the configuration of an online store. The same does not happen for their physical counterparts. The biggest physical retail chains make their customers go through a precise path to ensure they visit every aisle before exiting the store.
A way online stores like Amazon thought could recreate an impulse buying phenomenon is through…
