Scenic region route recommending method based on sightseeing behaviors, and system of the same

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

Active Publication Date: 2018-02-09
GUILIN UNIV OF ELECTRONIC TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 p

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  • Scenic region route recommending method based on sightseeing behaviors, and system of the same
  • Scenic region route recommending method based on sightseeing behaviors, and system of the same
  • Scenic region route recommending method based on sightseeing behaviors, and system of the same

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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 region route recommending method based on sightseeing behaviors, and a system of the same. The scenic region route recommending method based on sightseeing behaviors includes the steps: acquiring the behavior data, generated from the sightseeing process, of a tourist, and extracting and generating a group of candidate sightseeing routes from the acquired historicalsightseeing behavior data by means of a frequent sightseeing route extraction method; and according to the total sightseeing time, the sightseeing starting/terminate place, and other personal sightseeing constraints input by the tourist, searching the route which can satisfy personal constraints and has the highness sightseeing value from the candidate routes and recommending the route to the tourist. The scenic region route recommending method based on sightseeing behaviors has the advantages of high accuracy of the recommending route, high customized degree of the recommending result, and high sightseeing experience degree.

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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IPC IPC(8): G06Q50/14G06F17/30H04W4/80
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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