PROFILING THE USER: A RINGSIDE VIEW

Bedekar M.V.1*, Deshpande Bharat2*
1CS-IS Group, BITS-Pilani, K. K. Birla, Goa Campus, Zuarinagar, Goa, 403 726, India
2CS-IS Group, BITS-Pilani, K. K. Birla, Goa Campus, Zuarinagar, Goa, 403 726, India
* Corresponding Author : bharatmsu@yahoo.com

Received : -     Accepted : -     Published : 21-12-2010
Volume : 2     Issue : 2       Pages : 9 - 13
Int J Mach Intell 2.2 (2010):9-13
DOI : http://dx.doi.org/10.9735/0975-2927.2.2.9-13

Keywords : User Profile, Personalization, Customization, Prefetching
Conflict of Interest : None declared

Cite - MLA : Bedekar M.V. and Deshpande Bharat "PROFILING THE USER: A RINGSIDE VIEW." International Journal of Machine Intelligence 2.2 (2010):9-13. http://dx.doi.org/10.9735/0975-2927.2.2.9-13

Cite - APA : Bedekar M.V., Deshpande Bharat (2010). PROFILING THE USER: A RINGSIDE VIEW. International Journal of Machine Intelligence, 2 (2), 9-13. http://dx.doi.org/10.9735/0975-2927.2.2.9-13

Cite - Chicago : Bedekar M.V. and Deshpande Bharat "PROFILING THE USER: A RINGSIDE VIEW." International Journal of Machine Intelligence 2, no. 2 (2010):9-13. http://dx.doi.org/10.9735/0975-2927.2.2.9-13

Copyright : © 2010, Bedekar M.V. and Deshpande Bharat, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

We all regularly use the internet for a variety of reasons. We do like some sites and dislike others. There can be various reasons for liking and disliking sites. Some sites interest us, some sites are visited by us often, some are visited periodically, some simple annoy. Our Internet usage is also pretty much the same everyday barring weekends. A average user logs on to the internet at nearly same times everyday, surfs some sites regularly some new sites at times and perform repeated action on sites, more or less. The browser is used as an intermediatery for developing a system which identifies these usage patterns, learns them and then uses it to enhance and personalize our surfing behavior. The system is smart enough to prefetch the right pages at the right time and display them in the browser for the user, all without any manual intervention.

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