Yext’s patent involves a system and method for adaptively re-ranking search results based on machine learning models and user queries. The technology aims to provide more relevant search results to end-users by adjusting rankings based on identified model parameters. GlobalData’s report on Yext gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Yext, Virtual data center was a key innovation area identified from patents. Yext's grant share as of January 2024 was 31%. Grant share is based on the ratio of number of grants to total number of patents.
Adaptive re-ranking of search results based on machine learning
A recently granted patent (Publication Number: US11841866B2) outlines a method and system for improving search result rankings based on user queries. The method involves establishing an initial ranking of search results for a search query cluster, identifying query identifiers, generating changes using a machine-learning model to re-rank search results, and displaying the updated rankings to users through graphical interfaces. The system includes a processing device and memory to execute these operations, with the ability to adjust model parameters based on user interactions and generate subsequent re-rankings over time.
Furthermore, the patent details the inclusion of an attractiveness score for search results, the ability to swap positions of results for further re-ranking, and the generation of adjusted model parameters based on collected data points from search events. The system can provide updated rankings in response to subsequent user queries, ensuring a dynamic and personalized search experience. The patent also covers a non-transitory computer-readable storage medium containing instructions for executing these operations, emphasizing the use of machine learning to continuously refine and improve search result rankings based on user behavior and preferences.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
