Recommender-System
I have aimed at developing a recommender system for online reviews that is able to predict the perception of each user regarding the helpfulness of online reviews. The dataset that I have worked on is a Women Clothing E-Commerce dataset revolving around the reviews written by customers. Its nine supportive features offer a great environment to parse out the text through its multiple dimensions. This dataset includes 23486 rows and 10 feature variables.