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dc.creatorKovačević, Ana
dc.creatorDevedžić, Vladan
dc.creatorPocajt, Viktor
dc.date.accessioned2020-01-08T16:46:22Z
dc.date.available2020-01-08T16:46:22Z
dc.date.issued2010
dc.identifier.issn0264-0473
dc.identifier.urihttp://rhinosec.fb.bg.ac.rs/handle/123456789/85
dc.description.abstractPurpose This paper aims to propose a solution for recommending digital library services based on data mining techniques (clustering and predictive classification). Design/methodology/approach - Data mining techniques are used to recommend digital library services based on the user's profile and search history. First, similar users were clustered together, based on their profiles and search behavior. Then predictive classification for recommending appropriate services to them was used. It has been shown that users in the same cluster have a high probability of accepting similar services or their patterns. Findings - The results indicate that k-means clustering and Naive Bayes classification may be used to improve the accuracy of service recommendation. The overall accuracy is satisfying, while average accuracy depends on the specific service. The results were better for frequently occurring services. Research limitations/implications - Datasets were used from the KOBSON digital library. Only clustering and predictive classification was applied. If the correlation between the service and the institution were higher, it would have better accuracy. Originality/value - The paper applied different and efficient data mining techniques for clustering digital library users based on their profiles and their search behavior, i.e. users' interaction with library services, and obtain user patterns with respect to the library services they use. A digital library may apply this approach to offer appropriate services to new users more easily. The recommendations will be based on library items that similar users have already found useful.en
dc.publisherEmerald Group Publishing Limited, Bingley
dc.rightsrestrictedAccess
dc.sourceElectronic Library
dc.subjectDigital librariesen
dc.subjectDatabasesen
dc.subjectSerbiaen
dc.subjectData handlingen
dc.subjectService deliveryen
dc.titleUsing data mining to improve digital library servicesen
dc.typearticle
dc.rights.licenseARR
dcterms.abstractДеведжић, Владан; Поцајт, Виктор; Ковачевић, Aна;
dc.citation.volume28
dc.citation.issue6
dc.citation.spage829
dc.citation.epage843
dc.citation.other28(6): 829-843
dc.citation.rankM23
dc.identifier.wos000287726000005
dc.identifier.doi10.1108/02640471011093525
dc.identifier.scopus2-s2.0-79951642715
dc.identifier.rcubconv_399
dc.type.versionpublishedVersion


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