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000069674 005__ 20190131124752.0
000069674 0247_ $$2doi$$a10.1016/j.procs.2017.08.355
000069674 0248_ $$2sideral$$a104678
000069674 037__ $$aART-2017-104678
000069674 041__ $$aeng
000069674 100__ $$0(orcid)0000-0002-0404-8349$$aRodríguez-Hernández, M.D.C.$$uUniversidad de Zaragoza
000069674 245__ $$aTowards Trajectory-Based Recommendations in Museums: Evaluation of Strategies Using Mixed Synthetic and Real Data
000069674 260__ $$c2017
000069674 5060_ $$aAccess copy available to the general public$$fUnrestricted
000069674 5203_ $$aRecommendation systems, which suggest items that are of potential interest to the user (e.g., regarding which books to read, which movies to watch, etc.) have grown in popularity due to the ever-increasing amount of data available, that can lead to significant user''s overload. In particular, in recent years, extensive research has focused on the so-called Context-Aware Recommender Systems (CARS), which exploit context data to offer more relevant recommendations. In this paper, we study this problem with a use case scenario: recommending items to observe in a museum. We propose a trajectory-based and user-based collaborative filtering approach, that considers context data such as the location of the user and his/her trajectory to offer personalized recommendations. Besides, we exploit DataGenCARS, a dataset synthetic generator designed to construct datasets for the evaluation of context-aware recommendation systems, to build a mixed scenario based on both real and synthetic data. The experimental results show the advantages of the proposed approach and the usefulness of DataGenCARS for practical evaluation with a real use-case scenario. Peer-review under responsibility of the Conference Program Chairs.
000069674 536__ $$9info:eu-repo/grantAgreement/ES/DGA/FSE$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-46238-C4-4-R$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78011-C4-3-R
000069674 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000069674 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000069674 700__ $$0(orcid)0000-0002-7073-219X$$aIlarri, S.$$uUniversidad de Zaragoza
000069674 700__ $$0(orcid)0000-0002-1517-2820$$aHermoso, R.$$uUniversidad de Zaragoza
000069674 700__ $$0(orcid)0000-0001-6008-1138$$aTrillo-Lado, R.$$uUniversidad de Zaragoza
000069674 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000069674 773__ $$g113 (2017), 234-239$$tProcedia computer science$$x1877-0509
000069674 8564_ $$s504091$$uhttps://zaguan.unizar.es/record/69674/files/texto_completo.pdf$$yVersión publicada
000069674 8564_ $$s74708$$uhttps://zaguan.unizar.es/record/69674/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000069674 909CO $$ooai:zaguan.unizar.es:69674$$particulos$$pdriver
000069674 951__ $$a2019-01-31-12:43:05
000069674 980__ $$aARTICLE