Publication: An evolving framework for clustering computer users
Loading...
Identifiers
Publication date
2010
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Impact
Export
Abstract
The idea of clustering computer users is very beneficial for making recommendations to a user based on the histories of other users with similar preferences, detecting changes in the behavior of a user, and so on. However, computer users have different needs as they learn to use a software system or their goals changes. Although there are several approaches for clustering users, most of them do not consider the changes in their behavior. In this paper, we present an approach for clustering automatically the behavior profile of a computer user and an evolving method based on Evolving Systems to keep up to date the created profile clusters.
Description
Proceeding of: International Symposium on Evolving Intelligent Systems (EIS'10) in the 36th Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behavior, AISB'10. Leicester, United Kingdom, 29th March - 1st April, 2010.
Keywords
Bibliographic citation
International Symposium on Evolving Intelligent Systems (EIS'10) in the 36th Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behavior, AISB'10, pp.1-4.