Study on the Evaluation Ability of Personalized Information Service of Higher Vocational Library

Abstract:

Higher vocational library personalized service, refers to the user's preferences, habits, such as unique requirements for information services, it is aimed at higher vocational teachers and students in the teaching, scientific research and the different needs of a corresponding type of service. The goal of the individualized service is to respect the user, user's behavior and habits, for user to select more important resources and provide the more thoughtful service characteristics. From constructing the high vocational school library personalized service guarantee system, perfecting the high vocational school library personalized service content and construct the high vocational school library personalized service interaction mechanism are to promote higher vocational library personalized information service to improve efficiency. In the final analysis, the high vocational school library personalized information service ability evaluation of first and second index with SPASS software, the result is satisfactory.

• Periodical: Applied Mechanics and Materials (Volumes 631-632)
• Pages: 1417-1420
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.631-632.1417
• Online since: September 2014
• Authors: De Rong Jiang*, Xu Guang Ding
• Keywords: Evaluation Ability, Library, Personalized Information Service

References

[1] Wang Yuan, Study on Personal Information Service of University Libraries under Internet Environment, Information Science, Vol. 29, No. 9, pp.1192-1196, (2011).

[2] Tan Fenglan, Study on Personal Information Service of University Libraries based on Internet : My Library, Library, Vol. 1, No. 3, pp.98-103, (2005).

[3] Sang Keun Lee, Don Sub Lee, In whee Joe, A Study on Model for Library Catalog System based on Native XML Database , RNIS, vol. 4, no. 1, pp.23-25, (2009).

[4] Ying CHEN, Runtong ZHANG, Haoyue LI, Ruixia LI, Yuhong GAO, CALIS-based Cloud Library Services Platform Model, AISS, vol. 3, no. 6, pp.204-212, (2011).

[5] Min Zhang, Prediction on the Uniform Borrow and Return Service Mode of Multi-Campus Libraries, AISS, Vol. 4, No. 17, pp.251-258, (2012).

DOI: 10.4156/aiss.vol4.issue17.28

[6] Meiying Nie, XinJuan Zhou, Study on Library Administrate Decision Using Data Mining, IJACT, Vol. 4, No. 8, pp.165-172, (2012).

[7] Song Yuchen, The Application of Cluster Analysis in Geophysical Data Interpretation, Journal of Computational Geosciences, vol. 13, no. 1, pp.263-271, (2010).

[8] Xu Hong, Liu Guangli, Guo Jing, Lou Zhenlin, Grain Price Impact Analysis System on Data Mining, JCIT, vol. 6, no. 1, pp.207-211, (2011).