Recommendation system’s development for planning tourist routes based on optimization models

The article discusses the relevance of intelligent IT’ use in planning tourism activities for both individual and collective use. In this regard, this article is aimed at revealing a set of problems in the use of recommendation IT for generation of tourist routes based on optimization models. The process of describing information about tourist attractions and the process of generating a tourist route are presented in form of a formal model of linguistic descriptions for IT system and decision-making model. The methodology proposed by authors is based on methods of multicriteria optimization of discrete programming and methods of object-oriented programming. The article presents a functional model of developing a tourist route’ process as well as models of system and software architectures, a data model of developed software package. The presented methodological and software allows to reduce the complexity of tourist routes’ design, analyze expert opinions of various categories of experts. The specificity and results of experimental testing of development’s use for educational tourism are given.

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