000075379 001__ 75379
000075379 005__ 20210121114541.0
000075379 0247_ $$2doi$$a10.1155/2015/489264
000075379 0248_ $$2sideral$$a107812
000075379 037__ $$aART-2015-107812
000075379 041__ $$aeng
000075379 100__ $$0(orcid)0000-0002-7073-219X$$aIlarri, Sergio$$uUniversidad de Zaragoza
000075379 245__ $$aA review of the role of sensors in mobile context-aware recommendation systems
000075379 260__ $$c2015
000075379 5060_ $$aAccess copy available to the general public$$fUnrestricted
000075379 5203_ $$aRecommendation systems are specialized in offering suggestions about specific items of different types (e.g., books, movies, restaurants, and hotels) that could be interesting for the user. They have attracted considerable research attention due to their benefits and also their commercial interest. Particularly, in recent years, the concept of context-aware recommendation system has appeared to emphasize the importance of considering the context of the situations in which the user is involved in order to provide more accurate recommendations. The detection of the context requires the use of sensors of different types, which measure different context variables. Despite the relevant role played by sensors in the development of context-aware recommendation systems, sensors and recommendation approaches are two fields usually studied independently. In this paper, we provide a survey on the use of sensors for recommendation systems. Our contribution can be seen from a double perspective. On the one hand, we overview existing techniques used to detect context factors that could be relevant for recommendation. On the other hand, we illustrate the interest of sensors by considering different recommendation use cases and scenarios.
000075379 536__ $$9info:eu-repo/grantAgreement/ES/DGA/FSE$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R
000075379 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000075379 590__ $$a0.906$$b2015
000075379 591__ $$aTELECOMMUNICATIONS$$b51 / 82 = 0.622$$c2015$$dQ3$$eT2
000075379 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b95 / 143 = 0.664$$c2015$$dQ3$$eT3
000075379 592__ $$a0.256$$b2015
000075379 593__ $$aEngineering (miscellaneous)$$c2015$$dQ2
000075379 593__ $$aComputer Networks and Communications$$c2015$$dQ3
000075379 655_4 $$ainfo:eu-repo/semantics/review$$vinfo:eu-repo/semantics/publishedVersion
000075379 700__ $$0(orcid)0000-0002-1517-2820$$aHermoso, Ramon$$uUniversidad de Zaragoza
000075379 700__ $$0(orcid)0000-0001-6008-1138$$aTrillo-Lado, Raquel$$uUniversidad de Zaragoza
000075379 700__ $$0(orcid)0000-0002-0404-8349$$aRodriguez Hernandez, Maria del Carmen
000075379 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000075379 773__ $$g11, 11 (2015), 489264 [30 pp.]$$pInt. J. Distrib. Sens. Netw.$$tInternational Journal of Distributed Sensor Networks$$x1550-1329
000075379 8564_ $$s877200$$uhttps://zaguan.unizar.es/record/75379/files/texto_completo.pdf$$yVersión publicada
000075379 8564_ $$s100419$$uhttps://zaguan.unizar.es/record/75379/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000075379 909CO $$ooai:zaguan.unizar.es:75379$$particulos$$pdriver
000075379 951__ $$a2021-01-21-11:16:38
000075379 980__ $$aARTICLE