000132396 001__ 132396
000132396 005__ 20240311111224.0
000132396 0247_ $$2doi$$a10.1016/j.eswa.2023.122714
000132396 0248_ $$2sideral$$a137618
000132396 037__ $$aART-2024-137618
000132396 041__ $$aeng
000132396 100__ $$0(orcid)0000-0002-7073-219X$$aIlarri, Sergio$$uUniversidad de Zaragoza
000132396 245__ $$aAn approach for proactive mobile recommendations based on user-defined rules
000132396 260__ $$c2024
000132396 5060_ $$aAccess copy available to the general public$$fUnrestricted
000132396 5203_ $$aIn the Big Data era, context-aware mobile recommender systems are crucial in assisting citizens and tourists in making informed decisions, providing a suitable way for users to find the relevant data. These systems should be proactive, able to detect the ideal time and location to provide recommendations for a specific item or activity. To accomplish this, push-based recommender systems can be employed, utilizing context rules to determine when a recommendation should be initiated. However, there is very limited reported experience in defining and implementing such systems and a complete generic solution that adapts flexibly to the preferences of users and protects their privacy is still missing.
In this paper, we present a novel approach where appropriate types of recommendations are provided automatically, without the need for user input. Our proposal allows users to easily activate, deactivate, customize, and create rules for improved personalization. Additionally, the module that, based on the context, decides the types of recommendations required is executed on the user’s mobile device, reducing wireless communication and safeguarding the user’s privacy, as context data are evaluated locally. To illustrate the approach, we have developed R-Rules, a prototype for Android devices focused on the triggering of recommendation rules, which provides a friendly user interface that facilitates user personalization. We have evaluated various technological options and demonstrated the feasibility, performance, and scalability of the proposal, as well as its suitability to users’ needs.
000132396 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000132396 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000132396 700__ $$0(orcid)0000-0001-6008-1138$$aTrillo-Lado, Raquel$$uUniversidad de Zaragoza
000132396 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000132396 773__ $$g242 (2024), 122714 [22 pp.]$$pExpert syst. appl.$$tExpert Systems with Applications$$x0957-4174
000132396 8564_ $$s4705371$$uhttps://zaguan.unizar.es/record/132396/files/texto_completo.pdf$$yVersión publicada
000132396 8564_ $$s2675388$$uhttps://zaguan.unizar.es/record/132396/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000132396 909CO $$ooai:zaguan.unizar.es:132396$$particulos$$pdriver
000132396 951__ $$a2024-03-11-09:50:11
000132396 980__ $$aARTICLE