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dc.contributor.authorSymeonidis P
dc.contributor.authorKrinis A
dc.contributor.authorManolopoulos Y
dc.contributor.editor
dc.date.accessioned2019-03-08T08:14:20Z
dc.date.available2019-03-08T08:14:20Z
dc.date.issued2013
dc.identifier.isbn978-3-642-40682-9
dc.identifier.issn0302-9743
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-642-40683-6_7
dc.identifier.urihttp://link.springer.com/chapter/10.1007/978-3-642-40683-6_7
dc.identifier.urihttp://hdl.handle.net/10863/9039
dc.description.abstractSocial networks have evolved with the combination of geographical data, into location-based social networks (LBSNs). LBSNs give users the opportunity, not only to communicate with each other, but also to share images, videos, locations, and activities. In this paper, we have implemented an online recommender system for LBSNs, called GeoSocialRec, where users can get explanations along with the recommendations on friends, locations and activities. We have conducted a user study, which shows that users tend to prefer their friends opinion more than the overall users' opinion. Moreover, in friend recommendation, the users' favorite explanation style is the one that presents all human chains (i.e. pathways of more than length 2) that connect a person with his candidate friends. © 2013 Springer-Verlag.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation
dc.relation.ispartofseriesLecture Notes in Computer Science;
dc.rights
dc.titleGeoSocialRec: Explaining recommendations in location-based social networksen_US
dc.typeBook chapteren_US
dc.date.updated2019-03-08T03:01:41Z
dc.publication.titleAdvances in Databases and Information Systems: 17th East European Conference, ADBIS 2013, Genoa, Italy, September 1-4, 2013. Proceedings
dc.language.isiEN-GB
dc.journal.titleLecture Notes in Computer Science
dc.description.fulltextopenen_US


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