个性化推荐系统是解决信息过载的有效途径之一,已广泛应用于电子商务等领域.介绍推荐系统及其组成部分,就个性化推荐系统的几个关键技术进行了阐述和比较,总结推荐系统主要的评价指标,并对未来可能的发展方向进行了初步预测.
Personalized recommendation system is one of the effective ways to solve information overload. It is widely used in areas such as E-commerce. First, the recommendation system and their components are introduced in this article. Then it expounds respectively key technologies in the system and analyzes its own advantages and disadvantages. Every recommendation method is compared. The main evaluation methods are exhibited. Finally, the article points out the development trend of the recommendation system in the future.