Intelligent travel service system based on big data analysis

Intelligent travel service system based on big data analysis

The invention discloses an intelligent travel service system based on big data analysis, the travel service system comprises a travel recommendation module, a user management module, a user information exchange module, a scenic spot information module and a travel customization module, the travel re...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: WANG ZIHAN, QIN YUTING, ZHAO YUJIA, GUAN SUTONG, CHEN JUNJIE, CUI CHEN, SUN XIAODONG, CHEN GUIDAN
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses an intelligent travel service system based on big data analysis, the travel service system comprises a travel recommendation module, a user management module, a user information exchange module, a scenic spot information module and a travel customization module, the travel recommendation module is used for analyzing user features and recommending similar travel, and the travel customization module is used for customizing the travel. The user management social module is used for processing user information, the user information communication module is used for real-time communication between users and real-time positioning between the users, the scenic spot information module is used for introducing scenic spot style and feature introduction, custom science popularization and the like for the users, and the travel customization module is used for customizing the travel according to user selection. According to the method, the route is intelligently recommended and planned by analyzing t