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| A Visualization and Recognition Method of Readers’ Interests with the Analysis of the Characteristics of Borrowing Time |
| Li Shuqing1, Wang Jianqiang2 |
1. College of Information Engineering, Nanjing University of Finance & Economics, Nanjing 210046, China;
2. Department of Library and Information Studies, Graduate School of Education, University at Buffalo, The State University of New York, Buffalo 14260, USA |
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Abstract The recognition of the characteristics of users’ personalized interests can be enhanced by utilizing of the information in the users’ accessing time. This paper proposes a method of constructing readers’ personalized profiles with the timing information of readers’ borrowing records in book recommendation service of library. This paper begins with the introduction of three extended time indexes based on the analysis of the characteristics of readers’ borrowing time, meantime, it also discusses the recognition of the degree of readers’ interests, and the visualization of timing evolution trend of readers’ interests. Finally, some related experiments that show the performance improvements are reported.
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Received: 12 April 2013
Published: 03 July 2013
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