A Study on Supervisory System of Low-Voltage Network Leakage Protector

Abstract

With the development of the Internet and ecommerce, recommendation system has been widely used. In this paper, the electronic commerce recommendation system, has a further study and focuses on the collaborative filtering algorithm in the application of personalized movie recommendation system. According to the characteristics of movie recommendation system itself and traditional collaborative filtering algorithm of sparse user ratings matrix, this paper is proposed based on a hybrid user-based and item-based collaborative filtering algorithms, and applied to the Movie Lens dataset, achieved good effect.