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dc.contributor.authorArregocés Julio, Isabel Carmenzaspa
dc.contributor.authorDaza Tovar, Jaime Davidspa
dc.contributor.authorCharris Bermejo, Janspa
dc.contributor.authorCantillo, Aslyspa
dc.contributor.authorAmaya Camacho, Juan Sebastian spa
dc.contributor.authorGamarra, Margaritaspa
dc.identifier.citationArregocés, I., Daza, J., Charris, J., Cantillo, A., Amaya, J., Gamarra, M. (2022). Hybrid Model of Tourism Recommendation Software Development. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2022. Lecture Notes in Computer Science, vol 13293. Springer, Cham.
dc.description.abstractTechnological progress implies a revolution for many economic sectors. Among them, the tourism industry is one of the activities that depend on the online interaction of users as a promotion and marketing strategy. Recommender systems have gained great importance as an engine to promote visits to tourist sites according to certain user preferences. This study proposes a hybrid development model that addresses software that provides information about tourist sites, cultural and historical interest of any city. The hybrid methodology is based on the classic waterfall model and the agile Scrum and Kanban methodologies, which allows incorporating the linear sequential scheme, but with the advantages of agile methodologies. The hybrid methodology was applied to the analysis and planning phase of the tourist recommendation software case study. Different functionalities were proposed aimed at providing information on the most important aspects for tourists. The proposed model maintains the cascading sequential structure, taking organizational and methodological aspects of the Scrum and Kanban proposal. Additionally, the software application proposal will allow the user to have an experience where they obtain multiple options, from budgeting trips to planning them, in the same application.eng
dc.format.extent1 páginaspa
dc.publisherSpringer Naturespa
dc.relation.ispartofseriesLecture Notes in Computer Science;spa
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)spa
dc.rights© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AGspa
dc.titleHybrid model of tourism recommendation software developmenteng
dc.typeCapítulo - Parte de Librospa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.relation.ispartofbookComputer Information Systems and Industrial Managementspa
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dc.subject.proposalMobile applicationseng
dc.subject.proposalSoftware engineeringeng
dc.subject.proposalRecommendation systemseng
dc.subject.proposalWeb siteseng

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