Patent ID: 11922470
Assignee: REPUTATION.COM, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 16:
17. A method, comprising:
receiving a plurality of industry-wide feedback items, the plurality of industry-wide feedback items pertaining to a plurality of entities associated with an industry;
based at least in part on an evaluation of the plurality of industry-wide feedback items, training an industry-wide reputation scoring machine learning model usable to determine an expected reputation score for a typical entity in the industry based at least in part on a combination of one or more reputation score components, and wherein training the industry-wide reputation scoring machine learning model comprises determining (1) a baseline reputation score, and (2) an expected impact of a reputation score component on reputation scoring for the typical entity in the industry;
based at least in part on the expected impact of the reputation score component on reputation scoring for the typical entity in the industry, determining, for a target entity, an impact of the reputation score component on reputation scoring for the target entity; and
based at least in part on the determined impact of the reputation score component on the target entity, automatically generating a tagging rule usable to tag ingested feedback items pertaining to the target entity that are determined to be associated with the reputation score component.