Document Type : Primary Research paper
Associate Professor, doctorate of Technical Sciences, Saint Petersburg national research university of information technologies, mechanics and optics, Russia
student, Saint Petersburg national research university of information technologies, mechanics and optics, Russia
Gyancity Research Consultancy, Motihari, India
This paper presents the intellectual information system for personalized tourism consisting of the server app that serves data for the client mobile app.
The proposed solution is implemented with full cycle stages in mind including data collection, data mining, information system’s design, conceptual, logic and physical design as well as formatting, configuring data models for client apps and designing an acceptable user experience level of the mobile application and results of testing.
Further deployment is connected with using new math models and patterns of system’s realiza- tion. Presented intellectual system’s use allows to significantly reduce costs at the stages of a complex of routes’ constructing according to individual preferences, collecting all the necessary information of the route’s subject and the ability to automatically take into account and correct the limits of time and financial resources.
Decision-making math models for personalized travel routes’ generation and optimization are presented. Both the theoretical explanations of decision-making models the development process are described.