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dc.contributor.authorÁlvarez Márquez, Jesús Omar
dc.contributor.authorZiegler, Jürgen
dc.contributor.editorDachselt, Raimund
dc.contributor.editorWeber, Gerhard
dc.date.accessioned2018-08-18T10:43:57Z
dc.date.available2018-08-18T10:43:57Z
dc.date.issued2018
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/16897
dc.description.abstractRecommender systems have received the attention of the scientific community for a long time now and they have become a daily tool for internet users. Nonetheless, they are not commonly applied to physical settings, where having access to recommendations could be of great benefit, specially when combined with item comparison capabilities. Due to the latest augmented reality technology advances, it is possible to bring these concepts together. An intuitive action like visually comparing two products could be enhanced by 3D cues and suggestions. In such terms, we discuss the possibilities to improve the item exploration and decision-making stages of the recommending process by providing item comparison supported by 3D augmentations, offering a novel contribution to both augmented reality and recommender systems domains.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2018 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectrecommender systems
dc.subjectaugmented reality
dc.subjecthuman computer interaction
dc.subjectinformation visualization
dc.titleAugmented Reality Based Recommending in the Physical Worlden
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.document.qualitydigidoc
mci.conference.sessiontitleMCI-WS07: Virtual and Augmented Reality in Everyday Context (VARECo)
mci.conference.locationDresden
mci.conference.date2.-5. September 2018
dc.identifier.doi10.18420/muc2018-ws07-0461


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