Invention Grant
- Patent Title: Machine-learned disambiguation of user action data
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Application No.: US15493013Application Date: 2017-04-20
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Publication No.: US10579682B1Publication Date: 2020-03-03
- Inventor: Mathew Cowan
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/30 ; G06F16/903 ; G06N20/00 ; G06F17/00

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving data that represents actions taken by a particular user with respect to entities of a plurality of entity types, disambiguating the data by identifying entities specified in the data using a machine learning based annotator that is trained to recognize entities and annotating the data, receiving a query specific from the particular user, querying the data that represents actions taken by the particular user, generating an answer to the query from the data representing the actions taken by the particular user, and providing the answer to the query.
Information query