Development of an intellectual module for selection of places to travel in the virtual assistant system for planning trips

Autor:	Arthur Zhigalov, Natalia Yanishevskaya, Irina Bolodurina, Larisa Kuznetsova, Denis Parfenov
Rok vydání:	2019
Předmět:	History Engineering management Development (topology) Computer science TRIPS architecture Remote assistance Selection (genetic algorithm) Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1399:033059
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1399/3/033059
Popis:	Often it is difficult for the tourists to determine their preferences and choose destinations for the trip. To simplify the planning of the upcoming vacation, you can use recommendation systems that, based on a survey of users, determine the most preferred places to visit. Also, the key to a successful trip is a well-planned route. The developed travel planning system combines both of these aspects: the intelligent module will recommend the user sights and interesting places to visit based on a small survey, after which the optimal route planning module build the schedule of their visit. In this article, the authors considered in detail the approach to the construction of individual user recommendations highlighted the main characteristics inherent in each region of the Russian Federation and built a decision tree.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3c84c6cc52e1a2dcbe5f4cb18d051e6d https://doi.org/10.1088/1742-6596/1399/3/033059 Zobrazit plný text záznamu