Clustering of web users using the tensor decomposed models
| Contribuinte(s) |
De Bra, Paul Kobsa, Alfred Chin, David |
|---|---|
| Data(s) |
01/06/2010
|
| Resumo |
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. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
Springer |
| Relação |
http://eprints.qut.edu.au/47480/1/UMAP_Paper.pdf http://web41.its.hawaii.edu/www.hawaii.edu/UMAP2010/index.php/workshops-and-tutorials 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. |
| Direitos |
Copyright 2010 Springer This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springerlink.com |
| Fonte |
Faculty of Science and Technology; Smart Services CRC |
| Palavras-Chave | #080600 INFORMATION SYSTEMS #Tensor Space Modeling #Web Data Mining #Clustering |
| Tipo |
Conference Paper |
