Travel Booking Engine Grid Interface for Search Optimization
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Solution Overview
Problem
Internet flight searches are inefficient due to dynamic airfare pricing, numerous airlines and routes, and individual preferences, leading to repeated searches that waste network and computing resources.
Innovation Solution
A travel booking engine generates a grid-based graphical interface that organizes travel options by price and duration, allowing users to select headings for expanded metadata displays, reducing the need for multiple searches by providing comprehensive data in a single view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users conduct repeated searches to find ideal flight options, then they can identify the best choice according to their preferences, but network resources and computing resources are wasted
Solution Approach 1:
The system performs preliminary actions by generating and displaying multiple curated flight options with varying parameters (price, duration, layovers) in advance, allowing users to make informed decisions without conducting repeated searches. The search engine pre-processes data from multiple sources and presents comprehensive results in a single display.
2Loss of information
If the system displays comprehensive flight data from multiple sources, then users can find the ideal flight option, but the information becomes overwhelming and difficult to navigate
Solution Approach 1:
The system segments comprehensive flight data into distinct, organized categories including different price points, duration ranges, and layover configurations. Each segment is clearly labeled and can be independently explored, transforming overwhelming information into manageable, navigable sections that maintain completeness while improving usability.
Solution Approach 2:
The system adds organizational dimensions to flight data by categorizing options along multiple axes (price, duration, layovers) simultaneously. This multi-dimensional organization allows users to navigate comprehensive information through structured layers rather than facing a flat, overwhelming list, making the data both complete and accessible.
3Adaptability or versatility
If the system aggregates data from multiple online travel agencies and meta-search engines, then more flight options are available, but discrepancies in displayed information increase
Solution Approach 1:
The system acts as an intermediary layer between multiple travel data sources and the user, implementing standardized data processing and validation protocols. This intermediary function harmonizes information from diverse sources, resolving discrepancies while maintaining the comprehensive variety of flight options through systematic data reconciliation.
4Adaptability or versatility
If the system considers individual preferences such as layover duration and departure time, then personalized flight recommendations are provided, but the search complexity increases
Solution Approach 1:
The system applies local quality by tailoring specific aspects of flight presentations to individual user preferences while maintaining a standardized overall structure. Preferences such as layover duration and departure time are incorporated into locally customized segments of the results, allowing personalization without overwhelming system complexity.
Data Source
AI summary
The present specification provides, amongst other things, a novel computing resource booking engine that aggregates data from different airlines or other vendors and groups them according to attributes such as price and duration. A computer display device is controlled to generate a grid that includes the airlines in one axis and the attributes long another axis. A user can select different headings or other portions of the grid to generate an expanded based on metadata in the grid.