Web usage mining with semantic analysis

Hollink, L, Mika, P and Blanco Gonzalez, R 2013, 'Web usage mining with semantic analysis', in Proceedings of the 22nd international conference on World Wide Web 2013, Rio de Janeiro, Brazil, 13-17 May 2013, pp. 561-570.


Document type: Conference Paper
Collection: Conference Papers

Title Web usage mining with semantic analysis
Author(s) Hollink, L
Mika, P
Blanco Gonzalez, R
Year 2013
Conference name WWW 2013
Conference location Rio de Janeiro, Brazil
Conference dates 13-17 May 2013
Proceedings title Proceedings of the 22nd international conference on World Wide Web 2013
Publisher ACM
Place of publication United States
Start page 561
End page 570
Total pages 10
Abstract Web usage mining has traditionally focused on the individual queries or query words leading to a web site or web page visit, mining patterns in such data. In our work, we aim to characterize websites in terms of the semantics of the queries that lead to them by linking queries to large knowledge bases on the Web. We demonstrate how to exploit such links for more effective pattern mining on query log data. We also show how such patterns can be used to qualitatively describe the differences between competing websites in the same domain and to quantitatively predict website abandonment.
Subjects Information and Computing Sciences not elsewhere classified
DOI - identifier 10.1145/2488388.2488438
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