Material Acquisitions in Academic Libraries

Ho, Tsu-Feng; Shyu, Shyong Jian; Wu, Yi-Ling

doi:10.1109/apscc.2008.85

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…However, readers may not always find the chosen books suitable because librarians cannot fully gauge the requirements of readers (Ameen and Haider, 2007;Shieh and Wei, 2003;Sitanggang et al, 2010). Consequently, the buying of suitable books is a key topic of study in library science (Ho et al, 2008;Kao et al, 2003;Wu, 2003). Libraries typically buy books following a collection-development policy.…”

Section: Introductionmentioning

confidence: 99%

Developing a novel recommender network-based ranking mechanism for library book acquisition

Hu²,

Wang

2017

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Purpose Most academic libraries provide book recommendation services to enable readers to recommend books to the libraries. To facilitate decision-making in book acquisition, this study aimed to develop a method to determine the ranking of the recommended books based on the recommender network. Design/methodology/approach The recommender network was conducted to establish relationships among book recommenders and their similar readers by using circulation records. Furthermore, social computing techniques were used to evaluate the degree of representativeness of the recommenders and subsequently applied as a criterion to rank the recommended books. Empirical studies were performed to demonstrate the effectiveness of the proposed ranking system. The Spearman’s correlation coefficients between the proposed ranking system and the ranking obtained using reader circulation statistics were used as performance measure. Findings The ranking calculated using the proposed ranking mechanism was highly and moderately correlated to the ranking obtained using reader circulation statistics. The ranking of recommended books by the librarians was moderately and poorly correlated to the ranking calculated using reader circulation statistics. Practical implications The book recommender can be used to improve the accuracy of book recommendations. Originality/value This study is the first that considers the recommender network on library book acquisition. The results also show that the proposed ranking mechanism can facilitate effective book-acquisition decisions in libraries.

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Section: Introductionmentioning

confidence: 99%

Developing a novel recommender network-based ranking mechanism for library book acquisition

Hu²,

Wang

2017

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“…However, the acquisition may not always meet the needs of readers since the librarians can't fully realize the needs of readers [1]- [3]. Accordingly, how to achieve maximum effectiveness in buying suitable books to satisfy the needs of readers is a significant issue in library science [4]- [8].…”

Section: Introductionmentioning

confidence: 99%

Decision Support in Library Book Acquisition: A Social Computing-Based Approach

Wang

et al. 2011

2011 IEEE 8th International Conference on E-Business Engineering

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Due to the explosion of knowledge in the library, the librarians need to make effective decisions in book acquisition under the limited budget. Since librarians can not fully realize the needs of readers, many libraries provide the book recommendation service such that the readers can recommend the books to the libraries. However, the readers may only recommend the books in accordance with their own interest, resulting in the recommended books not meeting the needs of other readers. To facilitate decision-making in book acquisition, this paper used the social network to establish the relationships between the recommender and his/her related readers via the historical circulation records. Upon the social network, this paper uses social computing to evaluate the representative degree of the recommender, and then rank the recommended books. The retrospective and empirical studies are performed to show the effectiveness of the proposed ranking system by the spearman's rank correlation coefficient. That is, the ranking of the recommended books by the proposed system is very like the two rankings of these books from the analysis of the historical circulation records and the librarian.

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