Clustering frequent navigation patterns from website logs by using ontology and temporal information

Date

2013-11-22

Author

Kilic, Sefa
Karagöz, Pınar
Toroslu, İsmail Hakkı

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this work, clustering algorithms are used in order to group similar frequent sequences of Web page visits. A new sequence is compared with all clusters and it is assigned to the most similar one. This work can be used for predicting and prefetching the next page user will visit or for helping the navigation of user in the website. They can also be used to improve the structure of website for easier navigation. In this study the effect of time spent on each web page during the session is also analyzed. © 2013 Springer-Verlag London.

URI

https://hdl.handle.net/11511/56408

DOI

https://doi.org/10.1007/978-1-4471-4594-3-37

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Department of Computer Engineering, Conference / Seminar

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Citation Formats

S. Kilic, P. Karagöz, and İ. H. Toroslu, “Clustering frequent navigation patterns from website logs by using ontology and temporal information,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56408.