文章基本信息

标题：Interest-based Recommendation in Digital Library
本地全文：下载
作者：Yang, Yan ; Li, Jian Zhong
期刊名称：Journal of Computer Science
印刷版ISSN：1549-3636
出版年度：2005
卷号：1
期号：1
页码：40-46
DOI：10.3844/jcssp.2005.40.46
出版社：Science Publications
摘要：With the huge amount and large variety of information available in a digital library, it’s becoming harder and harder for users to identify and get hold of their interested documents. To alleviate the difficulty, personalized recommendation techniques have been developed. Current recommendation techniques rely on similarity between documents. In our work, recommendations are made based on three factors: similarity between documents, information amount , and information novelty . With the introduction of degree of interest , users’ interests can be better characterized. Theoretical analysis and experimental evaluations demonstrate that our techniques can improve both the recommendation recall and recommendation precision.
关键词：Digital Library; Personalization; Recommendation; Degree of Interest