US Patent Application 17659750. MACHINE LEARNING ON SEARCH SESSIONS TO PROVIDE INTELLIGENT SEARCH RESULTS simplified abstract
Contents
MACHINE LEARNING ON SEARCH SESSIONS TO PROVIDE INTELLIGENT SEARCH RESULTS
Organization Name
Inventor(s)
Jaeyoo Jung of Shrewsbury MA (US)
MACHINE LEARNING ON SEARCH SESSIONS TO PROVIDE INTELLIGENT SEARCH RESULTS - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17659750 Titled 'MACHINE LEARNING ON SEARCH SESSIONS TO PROVIDE INTELLIGENT SEARCH RESULTS'
Simplified Explanation
This abstract describes techniques for training and using a machine learning algorithm to generate search results. The algorithm is designed to identify the start and end events of a search session, which includes navigating through different webpages. It also calculates a dynamic score that indicates the success of the search session in finding an unknown end result at the beginning of the search. The trained algorithm can then be used in future search sessions to improve search results and help users find their desired targets or results more quickly and easily.
Original Abstract Submitted
Techniques for training and/or using a machine learning (ML) algorithm to generate search results are disclosed. An ML algorithm is configured (i) to identify a search starting event and a search terminating event for a search session, where the search session includes multiple navigations across multiple different webpages, and (ii) to derive a dynamic score for the search session, where the dynamic score reflects whether the search session successfully identified an end result that was initially unknown at a time when the search starting event occurred. The trained ML algorithm can then be used during later search sessions to promote better search results and help users identify end targets or results in a faster and more intuitive manner.
