000168333 001__ 168333 000168333 005__ 20260204153543.0 000168333 0247_ $$2doi$$a10.1080/13658816.2025.2582692 000168333 0248_ $$2sideral$$a147795 000168333 037__ $$aART-2025-147795 000168333 041__ $$aeng 000168333 100__ $$0(orcid)0000-0002-1517-2820$$aHermoso, Ramon$$uUniversidad de Zaragoza 000168333 245__ $$aRecommending needles in a haystack: the SURGE approach 000168333 260__ $$c2025 000168333 5060_ $$aAccess copy available to the general public$$fUnrestricted 000168333 5203_ $$aCollective Spatial Keyword Querying (CoSKQ) was proposed over a decade ago as a model to retrieve sets of objects in spatial databases given a specific query. The rationale behind is that the retrieved solution sets must cover query keywords as well as minimise the geographic distances between the query and the solution elements. However, in most real scenarios, the exact matching of query keywords and object descriptions is rare or not possible. In this paper, we extend the notion of CoSKQ for recommendation problems and present SURGE (Spatial User Recommendations using Geographical metrics and sEmantics), an approach that puts forward a recommender system able to return solution sets even when query keywords and object descriptions do not match exactly. In order to do that, semantic techniques are used. A tourism domain has been used throughout the paper to explain the model. Furthermore, an exhaustive set of experiments has been carried out to validate the approach. 000168333 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113037RB-I00$$9info:eu-repo/grantAgreement/ES/DGA/T64-23R 000168333 540__ $$9info:eu-repo/semantics/embargoedAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es 000168333 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000168333 700__ $$0(orcid)0000-0002-7073-219X$$aIlarri, Sergio$$uUniversidad de Zaragoza 000168333 700__ $$0(orcid)0000-0001-6008-1138$$aTrillo-Lado, Raquel$$uUniversidad de Zaragoza 000168333 700__ $$aMarzo, Cristina 000168333 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000168333 773__ $$g(2025), 1-38$$pInt. j. geogr. inf. sci.$$tINTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE$$x1365-8816 000168333 8564_ $$s4561399$$uhttps://zaguan.unizar.es/record/168333/files/texto_completo.pdf$$yPostprint$$zinfo:eu-repo/date/embargoEnd/2026-11-17 000168333 8564_ $$s1741487$$uhttps://zaguan.unizar.es/record/168333/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint$$zinfo:eu-repo/date/embargoEnd/2026-11-17 000168333 909CO $$ooai:zaguan.unizar.es:168333$$particulos$$pdriver 000168333 951__ $$a2026-02-04-13:13:57 000168333 980__ $$aARTICLE