NDLI: Using context history to personalize a resource recommender via a genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Ciaramella, A. Cimino, M.G.C.A. Lazzerini, B. Marcelloni, F.
Copyright Year	2010
Description	Author affiliation: Dipartimento di Ingegneria dell'Informazione: Elettronica, Informatica, Telecomunicazioni, University of Pisa, Largo Lucio Lazzarino 1, 56122 Pisa, Italy (Cimino, M.G.C.A.; Lazzerini, B.; Marcelloni, F.) \|\| IMT Lucca Institute for Advanced Studies, Piazza San Ponziano 6, 55100 Lucca, Italy (Ciaramella, A.)
Abstract	Situation awareness is a promising approach to recommend to a mobile user the most suitable resources for a specific situation. However, determining the correct user situation is not a simple task since users have different habits that may affect the way in which the situations arise. Thus, an appropriate tuning aimed at adapting the situation recognizer to the specific user is desirable to make a resource recommender more effective. In this paper, we show how this objective can be achieved by collecting data during the interaction of the user with the mobile device and using this context history to personalize the resource recommender by a genetic algorithm. To describe our approach, we adopt a recently proposed resource recommender which exploits fuzzy linguistic variables to manage the inherent vagueness of some contextual parameters. Experimental results on a real business case show that the responsiveness and modeling capabilities of the recommender increase, thus validating the proposed approach.
Starting Page	965
Ending Page	970
File Size	511288
Page Count	6
File Format	PDF
ISBN	9781424481347
e-ISBN	9781424481361
DOI	10.1109/ISDA.2010.5687064
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Gallium mobile resource recommender Semantics Ontologies context awareness service personalization History context history genetic fuzzy systems Engines Pragmatics
Content Type	Text
Resource Type	Article

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