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The Optimal Tour Problem in Smart Tourism Recommender Systems

custom.quartileScopus (Q4)
dc.contributor.authorTulashvili, Yurii
dc.date.accessioned2026-06-12T13:18:08Z
dc.date.issued2020-10-09
dc.description.abstractIn this paper it is investigated a structure of the SMART tourism recommender system. Basic approaches for generating recommendations in an automated mode for selecting the best tourist routes in the SMART City Tourism network has been determined. This approaches are based on the analysis of the accumulated information about the most popular tourist destinations. It is proposed a mathematical model which provides, on the basis of knowledge about tourist sites, the possibility of construction optimal sequence of tourist routes. The proposed algorithm are based on the technology of online analytical processing of OLAP data selected from DW and organized in the form of OLAP Cubes
dc.identifier.citationTulashvili, Y., Turbal, Y., Alkaleg, D., Sumayya Ali, A., Kunanets, N. The Optimal Tour Problem in Smart Tourism Recommender Systems. 2020 IEEE 15th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2020 - Proceedings 2020 № 2. Р. 246–250. 9322043. https://www.scopus.com/authid/detail.uri?authorId=57221873984.
dc.identifier.doi10.1109/CSIT49958.2020.9322043
dc.identifier.urihttps://repository.lntu.edu.ua/handle/123456789/3861
dc.language.isoen
dc.subjectSMART tourism
dc.subjectonline analytical processing
dc.subjectOLAP Cubes
dc.titleThe Optimal Tour Problem in Smart Tourism Recommender Systems
dc.typeArticle
dspace.entity.typeScientificArticle

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