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dc.contributor.advisorQuintero Monroy, Christian Giovanny
dc.contributor.authorBarros Barrios, Michel Antony
dc.date.accessioned2017-09-22T21:56:36Z
dc.date.available2017-09-22T21:56:36Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10584/7623
dc.descriptionGroup recommendation is complex due to the selection procedure, structure and group conduction could conditioning negatively its effectiveness. Aspects like expectations of its components, the group size, time, communication standards, the previous experience or condition of members could have a negative influence. World Tourism Organization (UNWTO) defines tourism as a social, cultural and economic phenomenon which entails the movement of people to countries or places outside their usual environment for personal or business purposes. These people are called visitors (which may be either tourist or excursionists; resident or non-residents) and tourism has to do with their activities, some of which involve tourism expenditure. International tourism now represents 7% of the world’s exports of goods and services, up from 6% in 2014, as tourism has grown faster than world trade over the past four years. Holidays, recreation and other forms of leisure have been just over half of all international tourist arrivals in 2015 (53% or 632 million). Business and professional purposes accounted for some 14% of all international tourists, another 27% travelled for other reasons such as visiting friends and relatives (VFR), religious reasons and pilgrimages, health treatment. The purpose of visit for the remaining 6% of arrivals was not specified. Nowadays, the greater part of tourists around the world plan their vacation, make reservations or buy services, moreover, they share their experiences through the Internet. In this research is implemented an intelligent system for managing and recommending tourist places to collective profiles, which is able to identify and satisfy preferences of group members.es_ES
dc.formatapplication/pdfes_ES
dc.language.isospaes_ES
dc.publisherUniversidad del Nortees_ES
dc.subjectTurismo -- Aspectos socialeses_ES
dc.subjectMercadeo de servicioses_ES
dc.subjectMercadeo por internetes_ES
dc.titleIntelligent Tourist Recommender System Focused on Collective Profileses_ES
dc.typemasterThesises_ES
dc.rights.accessRightsopenAccesses_ES
dc.type.hasVersionacceptedVersiones_ES
dc.publisher.programMaestría en Ingeniería Electrónicaes_ES
dc.publisher.departmentDepartamento de Ingeniería Electrónicaes_ES
dc.creator.degreeMagister en Ingeniería Electrónicaes_ES


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