Air ticket personalized recommendation method based on shared account passenger prediction

A recommendation method, a technology for air tickets, applied in business, instrumentation, data processing applications, etc., can solve problems such as differences in passenger preferences, and achieve the effect of strong versatility, improved recommendation effect, and wide application range.

Inactive Publication Date: 2017-02-22
SHANGHAI JIAO TONG UNIV
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There may be passenger-shared account situations where the account purchases tickets for several passengers, and preferences may vary among these passengers

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Air ticket personalized recommendation method based on shared account passenger prediction
  • Air ticket personalized recommendation method based on shared account passenger prediction
  • Air ticket personalized recommendation method based on shared account passenger prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0030] According to the airline ticket personalized recommendation method based on shared account passenger forecast provided by the present invention, comprises the following steps:

[0031] Step 1: Count all the orders under each account, analyze the user's preference on different air ticket attributes; and calculate the user's weight corresponding to each attribute according to the user's historical orders;

[0032] Step 2: Calculate the probability distribution of all passengers under the account ac...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an air ticket personalized recommendation method based on shared account passenger prediction. The method includes the steps of 1. counting all of the orders under each account and analyzing the preference of a user on different air ticket attributes, and calculating the weight of the user corresponding to each attribute based on the user historical orders; 2. calculating the probability distribution of all of the passengers under the account according to the account historical behaviors and current conversation context; and 3. ordering from high to low according to the similarity between the search result and the preference model combined with passenger prediction, recommending the first K results to the users, wherein K is an integer. The recommendation method based on the shared account user prediction takes the probability distribution of the passengers to obtain a targeted recommendation result. The method provided is high in universality, if the method is needed to be applied to a new filed, one only needs to redefine the attribute characteristics through the combination with the filed knowledge, and a composite preference model based on the user probability distribution is constructed, so that the recommendation effect can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of personalized recommendation, in particular to a method for personalized recommendation of airline tickets based on passenger prediction of shared accounts. Background technique [0002] In today's era of information explosion, the main purpose of personalized recommendation technology is to extract user preferences according to user behavior, and provide users with suggestions on obtaining information accurately and efficiently. Personalized recommendations can effectively anticipate the needs of users, reduce the cost of obtaining information for users, make the interaction process more efficient and improve user experience. Therefore, it is widely used in various service websites including e-commerce, news portals, and multimedia. There will also be major recommended technology competitions and academic conferences every year. Personalized recommendation has become an indispensable technology in the I...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0224
Inventor 曹健赵亚峰
Owner SHANGHAI JIAO TONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap