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Linked Data-driven Digital Book Recommendation Model
Received date: 2013-07-19
Revised date: 2013-08-20
Online published: 2013-09-05
In order to provide recommendation services across data sources for users, a linked data-driven digital book recommendation model is proposed. This paper associates the library local data with external related data, and respectively builds social relations semantics ontology repository and digital book semantics ontology repository on base of different characteristics of library resources information. Then it takes different recommendation strategies according to the users' activity level on the books browsing to realize full coverage of users' recommendation service.
Key words： linked data; ontology; repository; recommendation system
Tian Ye , Zhu Zhongming . Linked Data-driven Digital Book Recommendation Model[J]. Library and Information Service, 2013 , 57(17) : 34 -38,52 . DOI: 10.7536/j.issn.0252-3116.2013.17.006
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