Recommendation System for an E-Commerce Store

• Tharun Kommaddi

• www.github.com

Built a Recommended model that recommends items to a Customer based on their behavior pattern.

Designed a Data Pipeline that does Data Preprocessing, Feature Selection, and Feature Engineering.

Built a customer-item matrix by creating out Collaborative Filter using cosine-similarity that creates User-to-User Similarity Matrix by finding Items to Recommend to a Customer using Item Based Collaborative Filtering.