Abstract
In this paper we propose a novel personalized paper search system using the relevance among user’s queried keywords and user’s behaviors on a searched paper list. The proposed system builds user’s individual relevance network from analyzing the appearance frequencies of keywords in the searched papers. The relevance network is personalized by providing weights to the appearance frequencies of keywords according to users’ behaviors on the searched list, such as “downloading,” “opening,” and “no-action.” In the experimental section, we demonstrate our method using 100 faculties’ search information in the University of Suwon.
This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD)(R04-2003-000-10122-0).
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References
Bollacker, K.D., Lawrence, S., Giles, C.L.: A System for Automatic Personalized Tracking of Scientific Literature on the Web. In: Proc. ACM Conference on Digital Libraries, pp. 105–113 (1999)
Torres, R., McNee, S.M., Abel, M., Konstan, J.A., Riedl, J.: Enhancing Digital Libraries with TechLens+. In: ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 228–236 (2004)
Bollacker, K., Lawrence, S., Giles, C.L.: An Autonomous Web Agent for Automatic Retrieval and Identification of Interesting Publications. In: Proc. The Second International Conference on Autonomous Agents, pp. 116–123 (1998)
Kamba, T., Bharat, K., Albers, M.C.: An Interactive Personalized Newspaper on the Web. In: Proc. International World Wide Web Conference, pp. 159–170 (1995)
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© 2006 Springer-Verlag Berlin Heidelberg
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Kang, S., Cho, Y. (2006). A Novel Personalized Paper Search System. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing. ICIC 2006. Lecture Notes in Computer Science, vol 4113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816157_157
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DOI: https://doi.org/10.1007/11816157_157
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37271-4
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