CAJ | 학술논문

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。
개성화추천계통시해결신식과재적유효도경지일，이엄범응용우전자상무등영역。개소추천계통급기조성부분，취개성화추천계통적궤개관건기술진행료천술화비교，총결추천계통주요적평개지표，병대미래가능적발전방향진행료초보예측。
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.