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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/11243
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| Title: | An evolving framework for clustering computer users |
| Author(s): | Iglesias, José Antonio
Ledezma, Agapito
Sanchis, Araceli |
| Issued date: | 2010 |
| 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. |
| URI: | http://hdl.handle.net/10016/11243 |
| 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. |
| 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. |
| Sponsor: | This work is partially supported by the Spanish Government under project TRA2007-67374-C02-02 |
| Appears in Collections: | DI - CAOS - Comunicaciones en Congresos y otros eventos
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