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A scenic route recommendation method and system based on tourist behavior

A technology of route recommendation and behavior, applied in the field of Internet of Things, can solve the problems of low accuracy of recommended routes, personalization of recommendation results and low degree of tour experience

Active Publication Date: 2020-12-18
GUILIN UNIV OF ELECTRONIC TECH
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  • Summary
  • Abstract
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Problems solved by technology

[0003] What the present invention aims to solve is the problem of low accuracy of recommended routes in the current travel route recommendation method, low degree of personalization of recommendation results and low degree of tour experience, and provides a scenic spot route recommendation method and system based on tourist behavior

Method used

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  • A scenic route recommendation method and system based on tourist behavior
  • A scenic route recommendation method and system based on tourist behavior
  • A scenic route recommendation method and system based on tourist behavior

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Embodiment Construction

[0076] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific examples and with reference to the accompanying drawings.

[0077] Because the actual tour behavior of tourists includes the tour trajectory of tourists, the tour time of each scenic spot and the related behaviors during the tour. Tour behavior reflects tourists' love for various scenic spots in the scenic area, and also includes specific scenic spot tour plans. This information can provide detailed tour reference for subsequent tourists. Therefore, the present invention mines and generates a group of candidate tour routes from the acquired historical tour behavior data by acquiring the behavior data generated by tourists during the tour and utilizing the frequent tour route mining method. Then, according to the personal tour constraints such as the total tour time, tour start / end l...

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Abstract

The invention discloses a scenic spot route recommendation method based on tour behavior and its system. By acquiring the behavior data generated by tourists during the tour process and using the frequent tour route mining method, a group of candidates can be mined from the acquired historical tour behavior data. tour route. Then, according to the personal tour constraints such as the total tour time input by the tourists, the tour start / end location, etc., the route that satisfies the personal constraints and has the highest tour value is searched from the candidate routes and recommended to the tourists. The invention has the characteristics of high precision of recommended routes, high degree of personalization of recommendation results and high degree of tour experience.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a method and system for recommending scenic spot routes based on tour behavior. Background technique [0002] Tourist route recommendation can provide tourists with a tour itinerary that meets their time and economic cost constraints, and can effectively reduce travel time and economic costs while improving the tour experience. However, the current tourist route recommendation methods and systems generally have the following deficiencies: First, most of the recommended results take tourist attractions as the smallest unit, that is, the recommended results are coarse-grained tourist routes composed of several scenic spots. When tourists visit large-scale scenic spots, such as natural scenic spots and museums, the system cannot recommend a fine-grained tour route for the scenic spots in the scenic spot. It is difficult for tourists to obtain a suitable tour route in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/14G06F16/9537H04W4/80
CPCG06Q50/14G06F16/9535
Inventor 宾辰忠古天龙孙彦鹏孙磊
Owner GUILIN UNIV OF ELECTRONIC TECH
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