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dc.contributor.author Osche, P.-E en
dc.contributor.author Castagnos, Sylvain en
dc.contributor.author Napoli, A. el
dc.contributor.author Naudet, Yannick en
dc.date.accessioned 2019-04-07T07:59:25Z
dc.date.available 2019-04-07T07:59:25Z
dc.date.issued 2019-04-07
dc.identifier.uri http://hdl.handle.net/11400/20262
dc.rights Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.title Walk the Line: Toward an Efficient User Model for Recommendations in Museums en
heal.type conferenceItem
heal.language en
heal.access free
heal.publicationDate 2016
heal.bibliographicCitation Osche, P.-E., Castagnos, S., Napoli, A. and Naudet, Y. (2016), "Walk the Line: Toward an Efficient User Model for Recommendations in Museums", 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2016), October 20-21, 2016, Thessaloniki, Greece en
heal.abstract Contrary to many application domains, recommending items within a museum is not only a question of preferences. Of course, the visitors expect suggestions that are likely to interest or please them. However, additional factors should be taken into account. Recent works use the visiting styles or the shortest distance between items to adapt the list of recommendations. But, as far as we know, no model of the literature aims at inferring in real time an holistic user model which includes variables such as the crowd tolerance, the distance tolerance, the expected user control, the fatigue, the congestion points, etc. As a work-in-progress, we propose a new representation model which includes psychological, physical and social variables so as to increase user satisfaction and enjoyment. We show how we can infer these characteristics from the user observations (geolocalization over time, moving speed,. . . ) and we discuss how we can use them jointly for a sequence recommendation purpose. This work is still in an early stage of development and remains more theoretical than experimental. en
heal.sponsor This publication is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 693150 en
heal.fullTextAvailability false
heal.conferenceName 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2016), October 20-21, 2016, Thessaloniki, Greece en
heal.conferenceItemType full paper


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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες Except where otherwise noted, this item's license is described as Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες