US 11,841,866 B2
Adaptive search result re-ranking
Pierce Stegman, Arlington, VA (US)
Assigned to Yext, Inc., New York, NY (US)
Filed by Yext, Inc., New York, NY (US)
Filed on Oct. 6, 2021, as Appl. No. 17/495,465.
Prior Publication US 2023/0106319 A1, Apr. 6, 2023
Int. Cl. G06F 16/2457 (2019.01)
CPC G06F 16/24578 (2019.01) 18 Claims
OG exemplary drawing
 
1. A method comprising:
establishing an initial ranking of search results associated with a search query cluster comprising a first search query and a second search query;
identifying, by a processing device, a first query identifier associated with the first search query received from a first end-user system;
identifying, based on the first query identifier, a set of model parameters associated with the first search query;
in response to receiving the first search query, generating, using a machine-learning model, one or more changes to configure a re-ranking of the search results based at least in part on the set of model parameters and the initial ranking of the search results;
associating the re-ranking of the search results with the search query cluster;
generating a first graphical user interface to display the re-ranking of the search results to the first end-user system;
executing, by the machine-learning model, a test using the one or more changes to generate a set of adjusted model parameters associated with the search query cluster;
identifying a second query identifier associated with the second search query received from a second end-user system; and
generating a second graphical user interface to display the re-ranking of the search results to the second end-user system.