Invention Grant
- Patent Title: Generating and/or utilizing a machine learning model in response to a search request
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Application No.: US15838269Application Date: 2017-12-11
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Publication No.: US11645277B2Publication Date: 2023-05-09
- Inventor: Steven Ross , Christopher Farrar
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Gray Ice Higdon
- Main IPC: G06F16/2453
- IPC: G06F16/2453 ; G06N5/02 ; G06N20/00 ; G06F16/953

Abstract:
Implementations relate to providing, in response to a query, machine learning model output that is based on output from a trained machine learning model. The machine learning model output can include a predicted answer to the query, that is predicted based on the trained machine learning model. The machine learning model output can additionally or alternatively include an interactive interface for the trained machine learning model. Some implementations relate to generating a trained machine learning model “on the fly” based on a search query. Some implementations additionally or alternatively relate to storing, in a search index, an association of a machine learning model with a plurality of content items from resource(s) on which the machine learning model was trained.
Public/Granted literature
- US20190179940A1 GENERATING AND/OR UTILIZING A MACHINE LEARNING MODEL IN RESPONSE TO A SEARCH REQUEST Public/Granted day:2019-06-13
Information query