Open AccessA new approach to identify similar users based on customer reviews
Author(s) -
Dimple Chehal,
Phalguni Gupta,
Payal Gulati
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/804/1/012047
Subject(s) - collaborative filtering , similarity (geometry) , computer science , recommender system , information retrieval , world wide web , artificial intelligence , image (mathematics)
Recommender System suggests items of interest to users based on their preferences. These preferences are gauged through various sources such as purchase history, ratings, reviews and browsing behaviour. Collaborative filtering and content based filtering are the two widely used techniques that help in generating recommendations to the target user(s) by identifying similar users to target user or similar items to items of interest. Through this paper a new method to identify similar users based on the similarity of reviews has been proposed.