Clustering of web users using the tensor decomposed models
Rawat, Rakesh, Nayak, Richi, & Li, Yuefeng (2010) Clustering of web users using the tensor decomposed models. In De Bra, Paul, Kobsa, Alfred, & Chin, David (Eds.) User Modeling, Adaptation, and Personalization, Springer, Hilton Waikoloa Village, Big Island of Hawaii, pp. 37-39.
We propose to use the Tensor Space Modeling (TSM) to represent and analyze the user’s web log data that consists of multiple interests and spans across multiple dimensions. Further we propose to use the decomposition factors of the Tensors for clustering the users based on similarity of search behaviour. Preliminary results show that the proposed method outperforms the traditional Vector Space Model (VSM) based clustering.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||Tensor Space Modeling, Web Data Mining, Clustering|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
Current > Research Centres > Smart Services CRC
|Copyright Owner:||Copyright 2010 Springer|
|Copyright Statement:||This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springerlink.com|
|Deposited On:||05 Dec 2011 07:58|
|Last Modified:||06 Dec 2011 03:56|
Repository Staff Only: item control page