The Comparison Study on Personalized Recommendation System Based on Users Interest
SHANG Xian-lian
CHEN Jing
ZHANG Su
Abstract：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.
Keywords：recommendation systempersonalizedusers interestinformation overload
Publication Date：2013-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 7-11 )