Title :
The investigation for Web user clustering based on interest
Author :
Zheng, Wei ; Zhang, Minxia
Author_Institution :
Coll. of Comput. Sci. & Technol., ZheJiang Univ. of Technol., HangZhou, China
Abstract :
It is a key aspect of Web mining to cluster users in terms of browsing interests on Web. The page content and the interests browsing path are taken into account in the measurement of browsing. Thereafter, a new method is brought forth to calculate similarity of interests and users are clustered by using a threshold λ. The result of this experiment shows that the new method can efficiently improve precision of clustering.
Keywords :
Internet; data mining; electronic commerce; information retrieval; pattern clustering; Web browsing interest; Web mining; Web user clustering precision; e-commerce; interest similarity; page content; Accuracy; Clustering algorithms; Correlation; Educational institutions; Linear regression; Symmetric matrices; Vectors; browsing interests; similarity; user clustering;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066622
