Learning user interests for user profiling in personal information agents

Article type: Other

Authors: Godoy, Daniela

Affiliations: ISISTAN Research Institute, Univ. Nacional del Centro de la Prov. de Bs. As., Campus Universitario, CP 7000, Tandil, Bs. As., Argentina Also at CONICET, Consejo Nacional de Investigaciones Científicas y Técnicas, Bs. As., Argentina E-mail: [email protected]

Abstract: This work presents a novel user profiling technique, named WebProfiler, developed to support incremental learning and adaptation of user profiles for agents assisting users with information-related tasks. This technique aims at acquiring comprehensible user profiles that accurately capture user interests starting from the observation of user behavior on the Web.

Keywords: User profiling, conceptual clustering, personal information agents

Journal: AI Communications, vol. 19, no. 4, pp. 391-394, 2006