149848 20251017144557.0 doi 10.1016/j.fss.2019.12.001 sideral 120475 ART-2020-120475 eng Huitzil, Ignacio Universidad de Zaragoza (orcid)0000-0002-7581-0345 GimmeHop: A recommender system for mobile devices using ontology reasoners and fuzzy logic 2020 Access copy available to the general public Unrestricted This paper describes GimmeHop, a beer recommender system for Android mobile devices using fuzzy ontologies to represent the relevant knowledge and semantic reasoners to infer implicit knowledge. GimmeHop use fuzzy quantifiers to deal with incomplete data, fuzzy hedges to deal with the user context, and aggregation operators to manage user preferences. The results of our evaluation measure empirically the data traffic and the running time in the case of remote reasoning, the size of the ontologies that can be locally dealt with in a mobile device in the case of local reasoning, and the quality of the automatically computed linguistic values supported in the user queries. info:eu-repo/grantAgreement/ES/AEI-FEDER/TIN2016-78011-C4-3-R info:eu-repo/grantAgreement/ES/UZ/JIUZ-2018-TEC-02 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 3.343 2020 COMPUTER SCIENCE, THEORY & METHODS 23 / 110 = 0.209 2020 Q1 T1 STATISTICS & PROBABILITY 20 / 125 = 0.16 2020 Q1 T1 MATHEMATICS, APPLIED 18 / 265 = 0.068 2020 Q1 T1 0.902 2020 Logic 2020 Q1 Artificial Intelligence 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Alegre, Fernando Bobillo, Fernando Universidad de Zaragoza (orcid)0000-0001-5136-4152 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 401 (2020), 55-77 Fuzzy sets syst. Fuzzy Sets and Systems 0165-0114 2360731 http://zaguan.unizar.es/record/149848/files/texto_completo.pdf Postprint 1232954 http://zaguan.unizar.es/record/149848/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:149848 articulos driver 2025-10-17-14:13:24 ARTICLE