Personalized tour route recommendation method

A technology for travel routes and recommendation methods, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems that travel routes cannot well meet the individual needs of tourists, and the degree of personalization and play experience are low

Active Publication Date: 2018-11-16
GUILIN UNIV OF ELECTRONIC TECH
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  • Claims
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AI Technical Summary

Problems solved by technology

The current travel route recommendation methods and systems generally have the following deficiencies: First, most of them predict tourists’ travel preferences based on tourists with similar be

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Embodiment Construction

[0076] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0077] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides a personalized tour route recommendation method. The personalized tour route recommendation method comprises the steps that 1, travel note information of tourists is obtained and preprocessed; 2, a scenic spot type expression vector based on category information is obtained; 3, a touristy preference expression vector of each user, touristy preference expression vectors of the tourists in each month and an expression vector of each scenic spot are obtained; 4, a candidate tour route set is obtained according to step 1; 5, candidate tour routes are obtained from the candidate tour route set according to individual constraints; 6, a preference expression vector to which each tour route belongs is obtained; 7, similarity matching is carried out on the user touristy preference and the candidate routes to obtain the playing route which is most matched with the user touristy preference to serve as a final tour route recommended to the users. In the method, according toeach scenic spot in a historical tour track of the tourists and the scenic spot category information to which the scenic spots belong, the personalized touristy preference of the tourists is obtained.

Description

technical field [0001] The invention relates to the fields of data mining, machine learning and recommendation systems, in particular to a personalized travel route recommendation method. Background technique [0002] Tourist route recommendation can provide tourists with a tour itinerary that meets the constraints of time and economic costs and meets the individual needs of tourists, and can effectively reduce the time and economic cost of travel while meeting the individual needs of tourists. The current travel itinerary recommendation methods and systems generally have the following deficiencies: First, most of them predict tourists’ travel preferences based on tourists with similar behaviors, so that the recommended travel routes cannot well meet the individual needs of tourists. Secondly, the existing travel route recommendation methods do not use tourists' travel routes in other cities to learn the user's travel preferences. Therefore, when tourists come to a new city...

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Application Information

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IPC IPC(8): G06F17/30G06Q10/04
CPCG06Q10/047
Inventor 孙彦鹏宾辰忠古天龙孙磊匡海丽孙镇海
Owner GUILIN UNIV OF ELECTRONIC TECH
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