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

Claim 0:
1. A method comprising:
receiving first data representing a user query to identify patent documents that are relevant to an identified technology;
identifying a first subcategory associated with the identified technology;
generating a first predictive model trained utilizing transfer learning techniques and configured to identify the patent documents that are relevant to the first subcategory;
identifying a second subcategory associated with the identified technology;
generating a second predictive model trained utilizing the transfer learning techniques and configured to identify the patent documents that are relevant to the second subcategory;
providing, as first input to the first predictive model, second data representing sample patent documents;
generating, as first output from the first predictive model, third data identifying a first subset of the sample patent documents determined by the first predictive model to be in class;
providing, as second input to the second predictive model, the second data representing the sample patent documents;
generating, as second output from the second predictive model, fourth data identifying a second subset of the sample patent documents determined by the second predictive model to be in class;
determining a third subset of the sample patent 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 the sample patent documents;
associating, based at least in part on the third subset of the sample patent 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;
causing a device associated with the user query to render a user interface with at least identifiers of the third subset of the sample patent documents as relevant to the identified technology, 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.