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Construction of Information Resource Recommender System in University Digital Libraries Based on Incomplete Fuzzy Language
Received date: 2012-09-06
Revised date: 2012-11-09
Online published: 2013-01-20
The growing information is the main problem of academic digital libraries. It is necessary to develop a tool which could filter information efficiently and conveniently for university digital libraries, in order to meet personalized information needs of faculties and students. This paper proposes an information resource recommender system in university digital libraries based on incomplete fuzzy language. In this system, user profiles are not characterized by requiring users to provide their preference directly, but allowing them to express their preferences by incomplete fuzzy linguistic preference relation. It will not only save time and effort for users, but also more accurately know users' preferences to improve the recommendation accuracy. Furthermore, this system introduces "users collaboration preference", which could help users to develop interdisciplinary research or to participate in collaborative research projects.
Key words： incomplete fuzzy language; user; information resources; recommender system
Sun Xiangrong . Construction of Information Resource Recommender System in University Digital Libraries Based on Incomplete Fuzzy Language[J]. Library and Information Service, 2013 , 57(02) : 124 -129 . DOI: 10.7536/j.issn.0252-3116.2013.02.024
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