2026-04-20T09:08:14Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/00006639 2021-12-13T04:57:39Z 1582963342780:1605779935331 user-uit

A Personalized Recommendation System Using Collaborative Filtering With Feature Based Sentiment Analysis Nyein Ei Ei Kyaw Thinn Thinn Wai Thiri Haymar Kyaw Recommendation systems help users to deal with the information overload problem by producing personalized content according to their interests. For presenting the personalized recommendation according to the new user’s demand is big challenge. Beyond the traditional recommender strategies, there is a growing effort to incorporate users’ reviews into the recommendation process, since they provide a rich set of information regarding both items’ features and users’ preferences. This proposal proposes a recommender system that uses users’ reviews and preference of new users to meet the individual interest. 2017-11-02 https://meral.edu.mm/records/6639