Collaborating agents for adaptation to mobile users

Angela Carrillo-Ramos, Manuele Kirsch Pinheiro, Marlène Villanova-Oliver, Jérôme Gensel, Yolande Berbers

Producción: Capítulo del libro/informe/acta de congresoCapítulo en libro de investigaciónrevisión exhaustiva

6 Citas (Scopus)

Resumen

The authors of this chapter present a two-fold approach for adapting content information delivered to a group of mobile users. This approach is based on a filtering process which considers both the user's current context and her/his preferences for this context. The authors propose an object-based context representation, which takes into account the user's physical and collaborative contexts, including elements related to collaboration tasks and group work in which the user is involved. They define the notion of preference for an individual or a group of people that develops a collaborative task and give a typology of preferences before proposing a formalism to represent them. This representation is exploited by a context matching algorithm in order to select only user preferences which can be applied according to the context of use. This chapter also presents the framework PUMAS which adopts a Multi-Agent System approach to support our propositions.

Idioma originalInglés
Título de la publicación alojadaCollaborative and Social Information Retrieval and Access
Subtítulo de la publicación alojadaTechniques for Improved User Modeling
EditorialIGI Global
Páginas250-276
Número de páginas27
ISBN (versión impresa)9781605663067
DOI
EstadoPublicada - 2009

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