000118064 001__ 118064 000118064 005__ 20230519145554.0 000118064 0247_ $$2doi$$a10.1007/s10489-021-03117-4 000118064 0248_ $$2sideral$$a128024 000118064 037__ $$aART-2021-128024 000118064 041__ $$aeng 000118064 100__ $$aDunkel, Jürgen 000118064 245__ $$aTowards MANET-based recommender systems for open facilities 000118064 260__ $$c2021 000118064 5060_ $$aAccess copy available to the general public$$fUnrestricted 000118064 5203_ $$aNowadays, most recommender systems are based on a centralized architecture, which can cause crucial issues in terms of trust, privacy, dependability, and costs. In this paper, we propose a decentralized and distributed MANET-based (Mobile Ad-hoc NETwork) recommender system for open facilities. The system is based on mobile devices that collect sensor data about users locations to derive implicit ratings that are used for collaborative filtering recommendations. The mechanisms of deriving ratings and propagating them in a MANET network are discussed in detail. Finally, extensive experiments demonstrate the suitability of the approach in terms of different performance metrics. © 2021, The Author(s). 000118064 536__ $$9info:eu-repo/grantAgreement/ES/AEI-FEDER/TIN2016-78011-C4-3-R$$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113037RB-I00$$9info:eu-repo/grantAgreement/ES/DGA/T64-20R 000118064 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000118064 594__ $$a7.8$$b2021 000118064 590__ $$a5.019$$b2021 000118064 592__ $$a1.211$$b2021 000118064 593__ $$aArtificial Intelligence$$c2021$$dQ2 000118064 591__ $$aCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE$$b46 / 146 = 0.315$$c2021$$dQ2$$eT1 000118064 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000118064 700__ $$0(orcid)0000-0002-1517-2820$$aHermoso, Ramón$$uUniversidad de Zaragoza 000118064 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000118064 773__ $$g52 (2021), 9045–9066$$pAppl. intell.$$tAPPLIED INTELLIGENCE$$x0924-669X 000118064 8564_ $$s3504557$$uhttps://zaguan.unizar.es/record/118064/files/texto_completo.pdf$$yVersión publicada 000118064 8564_ $$s2317355$$uhttps://zaguan.unizar.es/record/118064/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000118064 909CO $$ooai:zaguan.unizar.es:118064$$particulos$$pdriver 000118064 951__ $$a2023-05-18-15:53:01 000118064 980__ $$aARTICLE