000131784 001__ 131784 000131784 005__ 20240731103341.0 000131784 0247_ $$2doi$$a10.1007/s12599-023-00843-6 000131784 0248_ $$2sideral$$a137261 000131784 037__ $$aART-2023-137261 000131784 041__ $$aeng 000131784 100__ $$0(orcid)0000-0001-5600-0008$$aGarrido, Ángel Luis 000131784 245__ $$aSJORS: A Semantic Recommender System for Journalists 000131784 260__ $$c2023 000131784 5060_ $$aAccess copy available to the general public$$fUnrestricted 000131784 5203_ $$aRecommender Systems support a broad range of domains, each with peculiarities that recommendation algorithms must consider to produce appropriate suggestions. In the paper, we bring attention to a little-studied scenario related to the news domain: recommendations catering to media journalists. Based on the particular needs inherent to a newsroom, the authors introduce SJORS, a wire news Recommender System that takes into account the activities of each journalist as well as other critical factors that arise in this particular domain, such as wire news recency. Given the nature of the items recommended, SJORS deals with the inherent ambiguity of natural language by exploiting different semantic techniques and technologies. The authors have conducted several experiments in a media company, which validated the performance and applicability of the system. Outcomes emerging from this work could be extended to other domains of interest, such as online stores, streaming platforms, or digital libraries, to name a few. 000131784 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113903RB-I00 000131784 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000131784 590__ $$a7.4$$b2023 000131784 592__ $$a1.611$$b2023 000131784 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b14 / 249 = 0.056$$c2023$$dQ1$$eT1 000131784 593__ $$aInformation Systems$$c2023$$dQ1 000131784 594__ $$a13.6$$b2023 000131784 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000131784 700__ $$aPera, Maria Soledad 000131784 700__ $$0(orcid)0000-0003-4239-8785$$aBobed, Carlos$$uUniversidad de Zaragoza 000131784 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000131784 773__ $$g(2023), [18 pp.]$$pBus. inf. syst. eng.$$tBusiness & Information Systems Engineering$$x2363-7005 000131784 8564_ $$s939258$$uhttps://zaguan.unizar.es/record/131784/files/texto_completo.pdf$$yVersión publicada 000131784 8564_ $$s2149209$$uhttps://zaguan.unizar.es/record/131784/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000131784 909CO $$ooai:zaguan.unizar.es:131784$$particulos$$pdriver 000131784 951__ $$a2024-07-31-09:50:22 000131784 980__ $$aARTICLE