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Research and Implementation of a Personalized Recommendation System

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Digital Libraries: Achievements, Challenges and Opportunities (ICADL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4312))

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Abstract

Personalized Recommendation System is a necessary part of Personalized Information Service System. In this paper, a personalized recommendation system is implemented and tested with actual website access data. According to the test result analysis, we present some new methods to improve the recommendation effectiveness.

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© 2006 Springer-Verlag Berlin Heidelberg

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Dong, L., Nie, Y., Xing, C., Wang, K. (2006). Research and Implementation of a Personalized Recommendation System. In: Sugimoto, S., Hunter, J., Rauber, A., Morishima, A. (eds) Digital Libraries: Achievements, Challenges and Opportunities. ICADL 2006. Lecture Notes in Computer Science, vol 4312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11931584_21

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  • DOI: https://doi.org/10.1007/11931584_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49375-4

  • Online ISBN: 978-3-540-49377-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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