Tourism information recommending method and device

A technology for recommending information and recommending information, applied in the field of information processing, can solve the problems of low practicability, low efficiency, and high cost of human resources, and achieve the effect of saving time and good user experience

Inactive Publication Date: 2018-09-14
SHANGHAI CHENGXIANG INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

One method is to require the user to choose the target scenic spot they want to go to, recommend the scenic spot according to the user's choice, and make an itinerary. This method requires the user to input the target scenic spot and calculate it. , this method is not applicable, so the practicality is low, and it is not suitable for the general public
There is another method that is done manually by a prof

Method used

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  • Tourism information recommending method and device
  • Tourism information recommending method and device
  • Tourism information recommending method and device

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Embodiment Construction

[0066] According to the following detailed description of specific embodiments of the application in conjunction with the accompanying drawings, those skilled in the art will be more aware of the above and other objectives, advantages and features of the application.

[0067] According to one aspect of the present application, a method for recommending travel information is provided. figure 1 is a flowchart of an embodiment of the travel information recommendation method according to the present application. The method includes:

[0068] User information acquiring step: acquiring first user data, said first user data including identity information and user history information of the first user;

[0069] Recommendation information generation step: input the first user data into the trained deep neural network to generate travel information recommendation results, the travel information recommendation results represent the probability that the first user will travel to at least...

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Abstract

The invention discloses a tourism information recommending method and device. The method includes a user information obtaining step: acquiring the data of a first user, wherein the first user data comprises identity information of the first user and the history information of the user; a recommendation information generating step: inputting the data of the first user into a trained deep neural network, generating a travel information recommendation result which represents a probability that the first user will go to at least one tourist attraction, wherein the deep neural network is obtained through a training step, and the training step comprises a user data making step, an tourist attraction data acquisition step, a model prediction step, and a model correction step. The method adopts amachine learning method to automatically recommend the tourist attractions for the user by acquiring and analyzing the user's behavior data, which saves the user's time and brings a brand new and better user experience.

Description

technical field [0001] The present application relates to the field of information processing, in particular to a method and device for recommending travel information. Background technique [0002] At present, when an application program (APP) about tourism recommends tourist attractions for users, the following methods are generally adopted. One method is to require the user to choose the target scenic spot they want to go to, recommend the scenic spot according to the user's choice, and make an itinerary. This method requires the user to input the target scenic spot and calculate it. , this method is not applicable, so it is less practical and not suitable for the general public. There is another method that is done manually by a professional customizer of a travel agency. First, the customizer needs to know a lot of travel information and information, and has a good understanding of the characteristics of each place; secondly, the customizer needs to spend a lot of time...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/14
CPCG06Q10/047G06Q50/14G06Q30/0255G06Q30/0269
Inventor 黄晓鸣陈怒谭顾元勋
Owner SHANGHAI CHENGXIANG INFORMATION TECH CO LTD
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