In-Flight Targeted Ad Server Using Passenger Itinerary Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In-flight entertainment systems lack the ability to provide targeted electronic advertisements to passengers based on their demographic, itinerary, and interest information, resulting in irrelevant advertisements that may lose user interest.
Innovation Solution
A method and system that establish a connection between a server onboard an aircraft and client devices to create user profiles incorporating demographic, itinerary, and interest information, using machine learning models to select and display targeted electronic advertisements tailored to individual users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic electronic advertisements are displayed to all passengers, then the system is simple to operate and requires minimal data processing, but the advertisements become irrelevant and lose user interest
Solution Approach 1:
The patent segments the passenger audience into distinct groups based on demographic, itinerary, and interest characteristics. By dividing the homogeneous advertising approach into heterogeneous targeted segments, the system delivers relevant advertisements to specific passenger groups while maintaining manageable system complexity through automated classification algorithms.
Solution Approach 2:
The patent changes the parameters of advertisement delivery by introducing multiple dimensions for targeting (demographics, itinerary, interests) rather than using a single generic approach. This parameter transformation enables adaptive advertising while the automated machine learning models handle the complexity of processing these multiple parameters simultaneously.
2Loss of information
If user profile data is collected and processed to create targeted advertisements, then advertisement relevance to passengers improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent performs preliminary actions by collecting and organizing user profile data (demographics, itinerary, interests) before the advertising delivery process. This advance preparation of data structures and user classifications reduces the complexity during actual advertisement selection, as the matching process works with pre-processed information rather than raw data.
Solution Approach 2:
The system implements self-service through automated machine learning models that independently process user profile data, analyze characteristics, and select appropriate advertisements without requiring manual intervention. This automation handles the complex data processing requirements while maintaining high information relevance in the delivered advertisements.
3Measurement precision
If machine learning models are used to select targeted advertisements, then advertisement accuracy and user engagement increase, but the computational resources and processing time required increase
Solution Approach 1:
The patent applies partial action by using machine learning models selectively for the most critical matching decisions rather than processing all possible advertisement parameters with full computational intensity. The system achieves sufficient accuracy for effective targeting while conserving computational resources by applying sophisticated algorithms only where necessary.
Data Source
AI summary
Technology is described for providing targeted electronic advertisements on an aircraft. A server onboard the aircraft may establish a connection with a client device onboard the aircraft. The server may identify a user profile associated with a user of the client device. The user profile may include itinerary information for the user of the client device. The server may select a targeted electronic advertisement based in part on the itinerary information. The targeted electronic advertisement may be selected from a data store of electronic advertisements. The targeted electronic advertisement may be sent to the client device to be displayed using a graphical user interface on the client device.