Interception of user’s interests on the web

Authors:
Michal Barla
Affiliations:
Institute of Informatics and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Bratislava, Slovakia
Venue:
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2006

Citing 2
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Abstract

Current adaptive systems acquire information about users mainly by simple tracking of resources, a user has requested and by asking users to supply the needed information. In this paper, we discuss user modeling based on observing a user’s interaction with the system. We propose to collect usage data on the server side as well as on the client side. Collected data are then processed into knowledge about user’s intentions and preferences. This processing relies on a set of heuristics, which help to interpret the usage patterns found in the collected data.