Patent ID: 11928879
Assignee: AON RISK SERVICES, INC. OF MARYLAND
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A method, comprising:
generating a first predictive model trained utilizing transfer learning techniques and configured to identify documents that are relevant to a first subcategory associated with an identified technology;
generating a second predictive model trained utilizing transfer learning techniques and configured to identify the documents that are relevant to a second subcategory associated with the identified technology;
generating, utilizing the first predictive model, first data identifying a first subset of sample documents determined to be in class;
generating, utilizing the second predictive model, second data identifying a second subset of sample documents determined to be in class;
generating third data indicating a third subset of sample documents that are in the first subset and the second subset;
generating a node for a model taxonomy, wherein the node corresponds to the third subset of sample documents;
associating, based at least in part on the third subset of sample documents, a location of the node within the model taxonomy such that the node is indicated as being related to the first predictive model and the second predictive model, wherein the first predictive model is associated with a first confidence threshold indicating a first degree of confidence for predicting a given patent document as in class;
generating a user interface configured to display keywords from documents predicted as in class by the first predictive model utilizing the first confidence threshold; and
receiving user input data indicating a second confidence threshold to apply to the first predictive model, the user input data in response to the keywords as displayed via the user interface.