Recommendation System

I participated in an open-source program LGMSOC-21 as a contributor. I contributed a recommendation system that uses content-based filtering to recommend items to users. It uses item features to filter content. Tokenize features using the count vectorizer this will create a count matrix. Then convert the count matrix into a cosine matrix. Pick up the top items based on the cosine matrix to recommend.