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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.

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Abstract

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.

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ID Code: 47480
Item Type: Conference Paper
Additional URLs:
Keywords: Tensor Space Modeling, Web Data Mining, Clustering
ISBN: 9783642134692
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

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