Recommender Systems on H&M Fashion Dataset
GitHub Link
Tags
Recommender System
Collaborative Filtering
Date
Summary
Summary: Applied EDA on the H&M fashion dataset to gain insights into the data and implemented Popularity
Recommender System, Cosine Recommender System and Pearson Recommender System based on Turi Create. The Popularity Recommender System recommends the top-2 popular items among all items to users while Cosine and Pearson Recommender System recommends the top-12 items that are most correlated to each user’s previous purchases based on the collaborative filtering.