Movie Recommendation System using Weighted Average Approach

Abstract

The recommendation system is a tool to assist in decision- making by providing items following user preferences. Recommendation systems are used in a wide variety of fields. Like in e-commerce, social media, ads, and others. The algorithm that is popular in making recommendation systems is collaborative filtering; however, the algorithm is less accurate if the amount of data is too small. Therefore, the use of the weighted average method can help to improve accuracy in providing recommendations. This study indicates that the user weighted average and the movie weighted average influence in providing film recommendations to the user. Furthermore, it shows that the level of accuracy of the recommendation system that uses the weighted average has higher accuracy than the recommendation system that uses collaborative filtering