Recommender System Movie Netflix using Collaborative Filtering with Weighted Slope One Algorithm in Twitter
-
Rakhmat Rifaldy
*
Telkom University, Bandung,
Indonesia
- Erwin Budi Setiawan Telkom University, Bandung, Indonesia (*) Corresponding Author
Abstract
Movies are entertainment that many people enjoy filling their spare time. After watching a movie, people usually write reviews about the movie on social media such as Twitter. As the number of movies grows, a recommendation system is created, which is useful for finding movies they might like based on the movies they have seen. This study developed a movie recommendation system using Collaborative Filtering (CF) with the Weighted Slope One (WSO) algorithm. The dataset used is taken from tweet data on Twitter. Then the tweet dataset is converted into a rating value which will later be used in the recommendation system. This study uses Mean Absolute Error (MAE) to measure accuracy. In Collaborative Filtering, the system gets the best MAE of 0.924. Then for Weighted Slope One, the system gets the best MAE of 0.568.
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