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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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