Premier Experience for Loyal eCommerce Customers

dell_hackathon_iiitb_2018_aksit

This project is a simple illustration of a Recommendation System to enhance the Premier Experience of Loyal eCommerce Customers
For simplicity we have worked only on books rating dataset
Soul intention of this project was to develop Recommendation System and not the Front End

Identify the user as guest or existing user
If new user, promote for signup
For new users recommendations are based on popularity index i.e. He/She will be recommended most popular items
For existing users recommendations are based on Item-Based & User-Based Collabrative Filtering
Item-Based Collabrative Filtering is recommending items baased on Item Similarity Index i.e. items which user has purchased or liked in past.
User-Based Collabrative Filtering is recommending items based on User Similarity Index i.e. items which other customers similar to user likes.