US 11,748,361 B1
Systems and methods for multi-dimensional ranking of experts
Saleh Almenawer, Toronto (CA); and Serge Bouissou, Toronto (CA)
Assigned to Ryte Corporation, Toronto (CA)
Filed by Ryte Corporation, Toronto (CA)
Filed on Aug. 12, 2022, as Appl. No. 17/886,588.
Int. Cl. G06F 16/00 (2019.01); G06F 16/2457 (2019.01); G06F 16/242 (2019.01); G06F 16/28 (2019.01)
CPC G06F 16/24578 (2019.01) [G06F 16/2428 (2019.01); G06F 16/285 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method for generating a multi-dimensional ranking of a plurality of experts, the method comprising:
receiving one or more evaluation datasets;
applying one or more of a disambiguation model and a normalization model to at least some of the one or more evaluation datasets, wherein the disambiguation and normalization models are trained machine learning models;
for each given evaluation dataset, associating the evaluation dataset with one or more of: (i) at least one evaluation data category, (ii) at least one taxonomy category, and (iii) at least one expert of the plurality of experts;
subsequently, receiving one or more search filter criteria for ranking at least a subset of the plurality of experts;
generating a ranking of the at least subset of the plurality of experts, wherein the ranking is based on the search filter criteria, and is further generated based on the associations determined for each evaluation data set; and
displaying, on a user interface, at least a portion of the plurality of rankings as the multi-dimensional ranking of the plurality of experts.