Computer-implemented methods for searching over the internet, databases, methods of producing such databases, and related systems and computer program products
A machine learning model predicts when to stop polling early in travel searches, optimizing energy usage and response time in internet search processes.
WO2025257520A1 Publication Date: 2025-12-18SKYSCANNER TECHNOLOGY LTD
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Patent Information
- Application Number
- PCT/GB2024/053037
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-09-18
- Filing Date
- 2024-12-05
- Publication Date
- 2025-12-18
AI Technical Summary
Technical Problem
The increasing energy consumption associated with internet search activities and the desire for quicker, more pertinent results necessitate the development of methods to optimize search processes.
Method used
A computer-implemented method using a trained machine learning model to predict when to stop polling early in travel searches by determining a cumulative number of distinct responses, converting these into model travel search parameters, and generating an output indicator to stop polling before a predetermined time, allowing continued searches in the backend for future training.
Benefits of technology
This approach reduces energy consumption and delivers processed distinct responses sooner to the user terminal while maintaining efficient search functionality.
✦ Generated by Eureka AI based on patent content.
Abstract
There is provided a computer-implemented method of stopping an internet search early, the internet search being in a class of internet searches, the method using a trained machine learning model, in which the trained machine learning model has been trained on earlier internet searches in the class, and the successive results produced by those searches, to recognize when sufficient search results have been received to make continuing searching not worthwhile, and to output whether or not to continue searching; the method including inputting the internet search into the trained machine learning model, and the search's present results, and stopping the search in response to the trained machine learning model outputting that the search should be stopped. A corresponding system configured to perform the method is also provided.
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