US 11,676,109 B2
Increasing dimensionality of data structures
Christian Posse, Belmont, CA (US); and Pei-Chun Chen, Mountain View, CA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Jan. 23, 2020, as Appl. No. 16/750,130.
Application 16/750,130 is a division of application No. 15/228,662, filed on Aug. 4, 2016, granted, now 10,579,968.
Prior Publication US 2020/0160275 A1, May 21, 2020
Int. Cl. G06Q 10/1053 (2023.01)
CPC G06Q 10/1053 (2013.01) 20 Claims
OG exemplary drawing
 
1. A method implemented by one or more processors, the method comprising:
receiving new position information provided at a user interface by a user, wherein the new position information specifies candidate qualifications for filling a new position, and wherein the candidate qualifications for filling the new position include a specified desired experience;
storing the new position information in a memory;
identifying at least a subset of a corpus of positions based on at least some of the candidate qualifications;
predicting, using a machine-learned classifier, a desired experience for filling the new position based on the subset of the corpus of positions;
determining that a conflict exists responsive to determining the predicted desired experience is not within a predetermined range of the specified desired experience;
responsive to determining that the conflict exists, storing the predicted desired experience with the new position information, the predicted desired experience being a searchable field for the new position;
receiving a search query seeking positions associated with a given experience;
identifying responsive positions in the corpus of positions based on searchable fields in the corpus based on the given experience, wherein the responsive positions include the new position based at least on the predicted desired experience being responsive to the given experience; and
providing a query response that includes data identifying the responsive positions.