Abstract
Users with same interests can be classified by making use of clustering technology, based on the access path of users, the page access time of users, the resident time at page and URL of linking to the page in a web site. A new clustering algorithm is proposed by using access interests of users in the paper, in which the new interest degree, similitude degree, and clustering center will be defined. A true experiment has been completed making use of log files in the www.ty.sx.cn web site. Experiment results are successful.
Sponsored by the grand science and technology research program of ministry of education (03020) and the Natural Science Foundation of Shanxi Province(20031038).
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© 2005 Springer-Verlag Berlin Heidelberg
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Chen, J., Wu, J. (2005). Research on Path Clustering Based on the Access Interest of Users. In: Szczepaniak, P.S., Kacprzyk, J., Niewiadomski, A. (eds) Advances in Web Intelligence. AWIC 2005. Lecture Notes in Computer Science(), vol 3528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11495772_15
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DOI: https://doi.org/10.1007/11495772_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26219-0
Online ISBN: 978-3-540-31900-9
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