基于协同过滤算法的个性化推荐系统的设计及实施

Internet的发展导致了信息资源的膨胀,用户希望能通过自动化的工具来发现期望的信息资源,为了满足用户的这个需求,个性化推荐系统就随之产生了。个性化推荐系统所采用的推荐算法决定了推荐系统的优劣,本文主要设计了基于协同过滤算法的个性化推荐系统模型,并将该模型应用于相应的网站中。

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

The Internet development leads to the fast expansion of information resources, while users hope to have an automated tool to find the desired information resources. In order to meet this demand, a personalized recom-mendation system is created. The algorithm used in the personalized recommendation system determines the quality of the system. A recommendation system model based on the personalized collaborative filtering algorithm is designed, and it is applied to the some websites.