Using data mining to improve digital library services

Kovačević, Ana; Devedžić, Vladan; Pocajt, Viktor

doi:10.1108/02640471011093525

Cited by 22 publications

(23 citation statements)

References 14 publications

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“…Chen, 2008;Hong et al, 2009;Jiang et al, 2009;Kovacevic et al, 2010). For example, to support online users in conveniently browsing and searching news, a hierarchical news map has been offered through an automatic generation system (Ong et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…In support of the development of advanced DL, many intelligent mechanisms applied in DLs have been proposed which could help users retrieve information required in less time (e.g. Chen, 2008; Hong et al , 2009; Jiang et al , 2009; Kovacevic et al , 2010). For example, to support online users in conveniently browsing and searching news, a hierarchical news map has been offered through an automatic generation system (Ong et al , 2005).…”

Section: Introductionmentioning

confidence: 99%

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PIKIP_DL

Kao

2012

Library Hi Tech

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Purpose -The purpose of the paper is to conduct an exploratory study that proposes a personalized knowledge integration platform for digital libraries which can provide users with personalized information and knowledge services. Design/methodology/approach -A prototype system (PIKIP DL ) is designed and developed with two types of service, i.e. personalized information/knowledge service and personalized subject category service. Evaluation of the PIKIP DL by domain specialists and software experts is conducted. Comments are implications are addressed. Findings -The main findings include the following: the proposed system can help suggest materials that readers are interested in for DL; the proposed system can help construct knowledge contents in a hierarchical structure; and a common recommendation concerning knowledge structure from the reviewers is that the proposed system should add a self-organizing knowledge map function that would allow users to view knowledge subjects in a graphic manner. Practical implications -The results from the evaluation of reviewers revealed that the proposed PIKIP DL is acceptable to the integration of both personalized information service and personalized knowledge subject service. This implies that librarians and DL software agents should place emphasis on integrated service development to attract the attention of their users. Towards this goal, they could explain that personalized services (e.g. material recommendation, message recommendation, knowledge subject materials) with a mechanism of multi-resource integration can help provide DL resources according to users' needs and wants, and in consequence to enhance DL service efficacy. Originality/value -The research describes the importance of information/knowledge integration with respect to its support on the learning and study methods of users, and has developed a personalized knowledge integration platform as a mechanism that provides a personalized information service and a personalized knowledge subject category service. By employing Apriori algorithm and association rules as the data mining mechanism, personalized information recommendations are derived from circulation data, and a knowledge subject category is integrated from online sharing knowledge by participants.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PIKIP_DL

Kao

2012

Library Hi Tech

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“…However, k-means algorithm was predominantly used to detect clusters in library usage mining. Kovacevic et al (2010) combined k-means with Naive Bayes classification to recommend digital library services based on the user’s profile and search history. To support library decision making on the provision of library services, typical user behaviour patterns were studied by Hájek and Stejskal (2014).…”

Section: Library Usage Mining – Literature Reviewmentioning

confidence: 99%

Library usage mining in the context of alternative costs

Hájek

Stejskal

2017

LHT

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Purpose The behaviour of a library user is based on his ability to evaluate the consumption of library services based on alternative market services. The purpose of this paper is to study the usage behaviour in a public library building in the context of alternative costs instead of a narrow focus on book circulation data. Design/methodology/approach By library usage mining, using associative rules, the authors described the behaviour of library users and identified the typical behaviour during the visits. The authors analyse the results in the context of alternative costs assigned to the visits. Findings The results confirm that some underused services, such as digital services, deliver significantly greater benefit. The frequency of use, the duration of visit and the number of items used are associated with higher alternative costs. There were no significant differences in alternative cost within economic groups (excluding pensioners). This paper identified 41 frequent patterns with different alternative costs. Research limitations/implications The limitation of this study is the fact that data for library usage mining were collected using a questionnaire survey. Practical implications This may be particularly important for both policy makers and library management. The first beneficiaries are donors and patrons, who can learn about the benefit that libraries bring to society. The proposed system for library usage mining also enables managers to promote specific (effective) services, take steps to avoid readers leaving, and improve the adoption of library services. It can also be used to adapt the location of library services. Librarians, especially those who engage in acquisitions, may also use this information in their evidence-based decisions about the design of services. Originality/value So far, there has been no relevant research on the economic aspects of extracted behaviour patterns. Therefore, this study revealed users’ economic preferences using a questionnaire survey that supplemented transaction data. The ability to describe users’ behaviour can provide library management with enough information to realise evidence-based decision making.

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“…Hence, the users in the same cluster are more likely to be provide d with the appropriate services [7][8].…”

Section: Figure 3 E-library Intellectualization Technologiesmentioning

confidence: 99%