Clustering web sessions by levels of page similarity

Authors:
Caren Moraes Nichele;Karin Becker
Affiliations:
Programa de Pós Graduação em Ciências da Computação (PPGCC), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil;Programa de Pós Graduação em Ciências da Computação (PPGCC), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil
Venue:
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Year:
2006

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Abstract

Session similarity is a key issue in web session clustering. Existing approaches vary on session representation and similarity computation. However, they do not consider the similarity between pages, which is crucial due to the semantic gap between URLs and corresponding application events. This paper presents a domain taxonomy-based clustering approach, which extends the WLCS technique by integrating page similarity to compute session similarity. The approach can be applied to both usage and navigation clustering purposes.