Abstract
In this paper, a promotion design to improve lending rate of collections in library has been developed. This main ideal of this design is focused on unpopular collections in library with theoretical basis on Long Tail theory proposed by Christ Anderson. According to Long Tail Theory, the unpopular merchandise could be promoted by several strategies such as developing multiple distribution channels for the products, letting the user as a participant in the process of marketing, and customizing the product involved with customer demand. The situation of unpopular collections in library was similar to the merchandise in the tail part of popularity distribution; it could be promoted through reactivate process. This research had analyzed the transaction of the reader lending records to find out the popular books and the unpopular books as the primary step in designing reactive promotion, therefore the process of library data mining could reflect the reader behavior in lending collection of library. Specific readers who had lent the unpopular reading may contribute the improvement in that lending frequency. This research had designed a reactivate promotion to recommend unpopular collections in library by broadcasting readers’ interview. The advertisement job is accomplished by Near-Real system which was an e-Learning tool to perform readers’ interview around the corners of library.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jain, A.K., Murty, M.N., Flynn, P.J.: Data Clustering: A Review. ACM Computing Surveys 31(3), 264–323 (1999)
Zhang, C., Rui, Y., Crawford, J., Li-Wei, H.: An Automated End-to-End Lecture Capture and Broadcasting System. ACM Transactions on Multimedia Computing, Communication and Applications 4(1), 1–23, Article 6 (2008)
Kao, C., His-Tai, H.: Ranking University Libraries with a Posteriori Weights. International Journal of Libraries and Information Services 53, 282–289 (2003)
Christ, A.: The Long Tail. Hyperion Press, New York (2006)
Gelman, E., Sichel, H.S.: Library Book Circulation and the Beta-Binomial Distribution. Journal of the American Society For Information Science 38(1), 4–12 (1987)
Brynjolfsson, E., Hu, Y., Smith, M.D.: From Niches to Riches:The Anatomy of the Long Tail. Sloan Management Review 47(4), 67–71 (2006)
Lorcan, D.: Libraries and the Long Tail. D-Lib Magazine, April 1-9 (2006)
Ranganathan, S.R.: The Five Laws of Library Science. Goldston, London (1931)
Richard, K.: The 80/20 Principle: The Secret to Success by Achieving More with Less. Nichokasbrealey Publishing, London (1998)
Park, Y.-J., Alexander, T.: The Long Tail of Recommender Systems and How to Leverage It. In: RecSys 2008, October 2008, pp. 23–25 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, BY., Liao, YH., Liu, CM., Su, MH., Yu, PT. (2009). Designing an e-Learning Reactivate Promotion for Unpopular Collections in Academic Library. In: Chang, M., Kuo, R., Kinshuk, Chen, GD., Hirose, M. (eds) Learning by Playing. Game-based Education System Design and Development. Edutainment 2009. Lecture Notes in Computer Science, vol 5670. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03364-3_66
Download citation
DOI: https://doi.org/10.1007/978-3-642-03364-3_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03363-6
Online ISBN: 978-3-642-03364-3
eBook Packages: Computer ScienceComputer Science (R0)