[WISE 2019] ReInCre: Enhancing Collaborative Filtering Recommendations by Incorporating User Rating Credibility

Recommendation Systems are mainly used to predict the output based on the user ratings and inputs. In a decade recommendation system has gained popularity for a variety of applications. Recommendation system compares the data collected from users and create a list of items recommended to the user. Place Recommendation system allows user to enter…

In this project we are comparing two approaches for movie recommendation for a new user or existing user based on their age, gender, occupation.