Supercharge Your Innovation With Domain-Expert AI Agents!

A method and system for recommending selling products of airline tickets

A technology for recommending methods and products, applied in the field of data processing, can solve the problems of not being able to maximize revenue and overall purchase rate, affecting user experience, and not being able to personalize tying products for different users.

Inactive Publication Date: 2019-06-14
上海华程西南国际旅行社有限公司
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is that in the prior art, personalized bundling products cannot be sold to different users, which affects user experience and cannot realize the maximization of revenue and overall purchase rate. The purpose is to provide a bundling product for air tickets recommended method and system

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
  • A method and system for recommending selling products of airline tickets
  • A method and system for recommending selling products of airline tickets
  • A method and system for recommending selling products of airline tickets

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0080] Such as figure 1 As shown, the recommended method for the tie-in product of the airline ticket in this embodiment includes:

[0081] S101. Obtain the historical portrait data of the user within the historical setting time;

[0082] Among them, the historical portrait data includes the user's basic attribute data, historically purchased air ticket data, historical booking behavior data of historical bundled products, historical purchase behavior data of historical bundled products, and historical browsing click behavior data, etc. Both are used to reflect the user's preference for each historical bundling product.

[0083] Specifically, the historical portrait data includes the behavior data of the user’s last purchase of historical tie-in products, the user’s air ticket data in the past two years, the purchase data of historical tie-in products, usage data, repurchase data, and the user’s behavior in booking air tickets. Data such as voluntary cancellation or check-of...

Embodiment 2

[0094] Such as figure 2 As shown, the recommendation method of the bundled product of the airline ticket in this embodiment is a further improvement on Embodiment 1, specifically:

[0095] After step S105, before step S106 also includes:

[0096] S10601. Select target tying products whose revenue exceeds the revenue threshold and whose probability value is greater than or equal to the first sorting threshold among the target tying products, and form a first data set;

[0097] Selecting target tying products whose user acceptance exceeds the first acceptance threshold and whose probability value is greater than or equal to the second sorting threshold among the target tying products, and constitutes a second data set;

[0098] Selecting target tying products whose cost is less than the cost threshold and whose user acceptance exceeds the second acceptance threshold among the target tying products, and constitute a third data set;

[0099] Among them, the income is considered...

Embodiment 3

[0107] Such as image 3 As shown, the recommendation method for the tie-in product of the airline ticket in this embodiment is a further improvement on Embodiment 2, specifically:

[0108] After step S10601, it also includes:

[0109] S10602. Select target tying products whose revenue exceeds the revenue threshold and whose probability value is less than the first sorting threshold among the target tying products, and form a fourth data set;

[0110] Selecting target tying products whose user acceptance exceeds the first acceptance threshold and whose probability value is less than the second sorting threshold among the target tying products, and constitutes a fifth data set;

[0111] Selecting target tying products whose cost is less than the cost threshold and whose user acceptance is less than or equal to the second acceptance threshold among the target tying products, and constitute the sixth data set;

[0112] forming the seventh data set from the remaining target tying...

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 discloses a method and system for recommending a selling product of an air ticket. The recommendation method comprises the following steps of acquiring historical portrait data of a userwithin historical set time; according to the historical portrait data, obtaining historical selling products sold together with the airline ticket; establishing a user preference model according to the historical portrait data; predicting probability values of preference degrees of the user to different historical products to be sold by utilizing the user preference model; judging whether the probability value exceeds a set threshold value or not, and if yes, determining a target product to be sold; and when the user purchases the airline ticket, sorting the target selling products sold together with the airline ticket, and recommending the sorted target selling products to the user. According to the invention, not only the personalized product selling to different users is realized, andthe user experience is improved, but also the income and the overall purchase rate are maximized.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and system for recommending bundled sales of airline tickets. Background technique [0002] At present, when purchasing air tickets through the Internet platform, additional products are generally sold in bundles during the ticket order process; Different users have different acceptance of different bundled products, which not only affects user experience, but also fails to maximize revenue and overall purchase rate. Contents of the invention [0003] The technical problem to be solved by the present invention is that in the prior art, it is impossible to carry out personalized tying products to different users, which affects user experience and cannot realize the maximization of revenue and overall purchase rate, etc. The purpose is to provide a tying product for air tickets recommended methods and systems. [0004] The present invention solves the a...

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
IPC IPC(8): G06Q30/06G06Q30/02
Inventor 付迪聂强强肖铨武
Owner 上海华程西南国际旅行社有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com