基于协同过滤算法的个性化推荐系统的设计与实现

Design and Implementation of Personalized Recommendation System Based on Collaborative Filtering Algorithm

随着互联网时代的飞速发展,互联网的信息过载问题逐渐成为人们研究的重点。为了帮助信息的消费者从纷乱的信息中挑选出对其有价值的信息,同时,也为了帮助信息的生产者将信息更为有效地转化为效益,推荐系统便应运而生。笔者主要阐述了个性化推荐系统的概念,针对电影领域,结合协同过滤算法设计并实现了个性化电影推荐系统,实现了对用户的个性化推荐。

With the rapid development of the Internet era,the problem of information overload on the Internet has gradually become the focus of people＇s research.In order to help consumers of information to pick out information that is valuable to them from the chaotic information,and to help the producers of information to convert information into benefits more effectively,the recommendation system emerged.The author mainly focuses on the field of film.It designs and implements a personalized movie recommendation system based on collaborative filtering algorithm,and achieves personalized recommendations for users.