A hybrid preference learning and context refinement architecture

Frank, K; Robertson, P; McBurney, S; Kalatzis, N; Roussaki, I; Marengo, M

dc.contributor.author	Frank, K	en
dc.contributor.author	Robertson, P	en
dc.contributor.author	McBurney, S	en
dc.contributor.author	Kalatzis, N	en
dc.contributor.author	Roussaki, I	en
dc.contributor.author	Marengo, M	en
dc.date.accessioned	2014-03-01T02:51:54Z
dc.date.available	2014-03-01T02:51:54Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35744
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84859027988&partnerID=40&md5=bb58a209697d4640f3d88a046b390d0a	en
dc.subject.other	Pervasive space	en
dc.subject.other	Preference learning	en
dc.subject.other	Proactivity	en
dc.subject.other	Smart space	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Ubiquitous computing	en
dc.title	A hybrid preference learning and context refinement architecture	en
heal.type	conferenceItem	en
heal.publicationDate	2009	en
heal.abstract	Pervasive computing envisions a world where people are surrounded by numerous communication and computing interconnected devices that are invisible and assist users in their everyday tasks in a seamless unobtrusive manner. Most pervasive computing research initiatives aim towards the realization of smart spaces, i.e. fixed spaces that provide pervasive features in a static and geographically limited environment. To bridge these isolated pervasive spaces, the EU project Persist has introduced the concept of self-improving Personal Smart Spaces (PSSs) that follow their owners wherever they go. This paper provides an overview of the context and preference learning facilities that have been designed to support the realization of PSSs and enhance their proactivity and self-improvement features.	en
heal.journalName	Adaptive and Emergent Behaviour and Complex Systems - Proceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009	en
dc.identifier.spage	9	en
dc.identifier.epage	15	en