Abstract：The huge increase of library resources makes users’ cost of accessing valuable knowledge becoming much higher. For this problem, the paper proposes a hybrid recommendation method for library resources, which adopts semantic technologies to describe library resources and borrowers, establishes the association between user preferences and library resource features. Through query modification, rule-based and case-based inference, the method realizes personalized recommendation. Meanwhile, some auxiliary recommendation approaches are integrated. The recommendation process can be analyzed and optimized according to users’ feedback. Additionally, this method reduces the “new user” and “new item” problems in traditional collaborative filtering method to a certain extent. Experimental results show that the proposed method can enhance the hit rate.
汪英姿. 基于本体的个性化图书推荐方法研究[J]. 现代图书情报技术, 2012, (12): 72-78.
Wang Yingzi. Research on Ontology-based Personalized Recommendation Method for Library Resources. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2012.12.13.
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