计算机工程与应用2018，Vol.54Issue(3)：30-39,10.DOI:10.3778/j.issn.1002-8331.1710-0253
海量学术资源个性化推荐综述
Summary of personalized recommendation of massive academic resources
摘要
Abstract
Into the era of large data, information overload is a serious problem facing Internet users, personalized recom-mendation is a very promising way to solve this problem. In the academic field, academic resources personalized recom-mendation 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 recommen-dation process. This paper summarizes the key points and existing problems of the research on the personalized recom-mendation 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.关键词
大数据/信息超载/学术资源个性化推荐Key words
large data/information overload/academic resources personalized recommendation分类
信息技术与安全科学引用本文复制引用
刘伟,刘柏嵩,王洋洋..海量学术资源个性化推荐综述[J].计算机工程与应用,2018,54(3):30-39,10.基金项目
国家社会科学基金(No.15FTQ002) （No.15FTQ002）
省部级实验室/开放基金(No.B2014). （No.B2014）
