Tourism resource recommendation method and system based on tour behaviors

Abstract

The invention discloses a tourism resource recommendation method and system based on tour behaviors. Scenic spot identifiers are provided for intelligent tourist terminals through arranging Bluetooth position label equipment at each scenic spot, and detailed tour tracks of the tourists at the scenic spots can be accurately acquired by the intelligent terminals; tour behavior data of the tourists is acquired by the intelligent terminals of the tourists, evaluation on each tourism resource can be acquired through calculating the tour behavior data of each tourist, and the recommendation result can be dynamically generated. The method is advantaged in that the evaluation data and the recommendation result of each scenic spot of a scenic region can be accurately acquired, the result can be acquired through calculating the tourist tour behaviors, objective and comprehensive properties can be realized, moreover, tour prices of tour resources dynamically change along with seasons, through statistics of the tourist tour behaviors at different time segments, the dynamic scenic region and scenic spot recommendation results at the different time segments can be acquired.

Description

technical field [0001] The invention relates to the technical field of Internet of Things and mobile Internet applications, in particular to a method and system for recommending tourism resources based on tourism behavior. Background technique [0002] The tourist resource recommendation system plays an important role before tourists travel, which is convenient for tourists to make reasonable tour arrangements under the condition of limited time or economic cost. The current tourism resource recommendation system generates recommendation results using manual scoring by tourism experts or statistics based on tourist evaluation information. These two recommendation methods have their own disadvantages: in the first method, artificial scoring is static data. Since the sightseeing value of natural scenic spots or scenic spots changes dynamically with seasons, this method cannot dynamically adjust the recommendation results according to seasons. , so the recommendation result is...

AI Technical Summary

Problems solved by technology

[0003] What the present invention aims to solve is that currently it is difficult to obtain and generate tourism resource evaluation data, and the recommendation results are static and general. It provides a tourism resource recommendation method and system based on tourism behavior.

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