Hybrid Personalization For Recommendations

dc.contributor.author	Herder, Eelco	de_DE
dc.contributor.author	Kärger, Philipp	de_DE
dc.contributor.editor	Hartmann, Melanie	de_DE
dc.contributor.editor	Krause, Daniel	de_DE
dc.contributor.editor	Nauerz, Andreas	de_DE
dc.date.accessioned	2017-11-15T15:00:45Z
dc.date.available	2017-11-15T15:00:45Z
dc.date.issued	2008
dc.description.abstract	In this paper we present the concept of hybrid personalization, the combination of multiple atomic personalization mechanisms. The idea of hybrid personalization is related to hybrid recommender systems, but works on a conceptual level—it is decoupled from the actual adaptation in the user interface. This has as an advantage that one can optimize the adaptation ‘behind the screens’ or—conversely—attach a new visualization mechanism to the personalization technique. We show the practical benefits of this layered, hybrid adaptation mechanisms by means of a case study on personalized curriculum planning where it is recommended which course could or should be followed at which state in the learning process.
dc.identifier.uri	http://abis.l3s.uni-hannover.de/images/proceedings/abis2008/abis2008_herder_kaerger.pdf	de_DE
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/5080
dc.language.iso	en	de_DE
dc.relation.ispartof	16th Workshop on Adaptivity and User Modeling in Interactive Systems	de_DE
dc.title	Hybrid Personalization For Recommendations	de_DE
dc.type	Text/Conference Paper
gi.document.quality	digidoc

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