关键词: 大数据, 信息超载, 学术资源个性化推荐

Abstract: Into the era of large data, information overload is a serious problem facing Internet users, personalized recommendation is a very promising way to solve this problem. In the academic field, academic resources personalized recommendation is an effective way to solve the information overload, which is recommended for users to meet their interest in personalized academic information. This paper discusses the recommendation of the existing academic resources from the perspective of user modeling, recommendation object modeling and recommendation strategy of personalized recommendation process. This paper summarizes the key points and existing problems of the research on the personalized recommendation methods of academic resources, including content recommendation, collaborative filtering recommendation and recommendation based on network structure, and the research trend of academic individuality recommendation is forecasted.

Key words: large data, information overload, academic resources personalized recommendation