Journal of Applied Information Science

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Extraction of Web Usage Profiles Using Simulated Annealing Based Biclustering Approach


Affiliations
1 Department of Computer Science, Periyar University, Salem, Tamil Nadu, India
     

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In this paper, the Simulated Annealing (SA) based biclustering approach is proposed in which SA is used as an optimization tool for biclustering of web usage data to identify the optimal user profile from the given web usage data. Extracted biclusters are consists of correlated users whose usage behaviors are similar across the subset of web pages of a web site where as these users are uncorrelated for remaining pages of a web site. These results are very useful in web personalization so that it communicates better with its users and for making customized prediction. Also useful for providing customized web service too. Experiment was conducted on the real web usage dataset called CTI dataset. Results show that proposed SA based biclustering approach can extract highly correlated user groups from the preprocessed web usage data.

Keywords

Biclustering, Clickstream Data, Simulated Annealing (SA), Web Personalization, Web User Profile, Web Recommendations, Web Usage Mining.
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  • Extraction of Web Usage Profiles Using Simulated Annealing Based Biclustering Approach

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Authors

R. Rathipriya
Department of Computer Science, Periyar University, Salem, Tamil Nadu, India
K. Thangavel
Department of Computer Science, Periyar University, Salem, Tamil Nadu, India

Abstract


In this paper, the Simulated Annealing (SA) based biclustering approach is proposed in which SA is used as an optimization tool for biclustering of web usage data to identify the optimal user profile from the given web usage data. Extracted biclusters are consists of correlated users whose usage behaviors are similar across the subset of web pages of a web site where as these users are uncorrelated for remaining pages of a web site. These results are very useful in web personalization so that it communicates better with its users and for making customized prediction. Also useful for providing customized web service too. Experiment was conducted on the real web usage dataset called CTI dataset. Results show that proposed SA based biclustering approach can extract highly correlated user groups from the preprocessed web usage data.

Keywords


Biclustering, Clickstream Data, Simulated Annealing (SA), Web Personalization, Web User Profile, Web Recommendations, Web Usage Mining.

References