Invention Grant
- Patent Title: Search with machine-learned model-generated queries
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Application No.: US18193890Application Date: 2023-03-31
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Publication No.: US12086857B2Publication Date: 2024-09-10
- Inventor: Harshit Kharbanda , Arash Sadr , Alice Au Quan , Belinda Luna Zeng , Christopher James Kelley , Jieming Yu , Minsang Choi
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: DORITY & MANNING P.A.
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06Q30/0601

Abstract:
Systems and methods for searching using machine-learned model-generated outputs can provide a user with a medium for generating a theoretical dataset that can then be matched to a real world example. The systems and methods can include selecting a plurality of terms, which can be utilized to generate a prompt input that can be processed by a dataset generation model to generate a plurality of model-generated datasets. A selection can then be received that selects a particular model-generated database to utilize to query a database.
Public/Granted literature
- US20240202795A1 Search with Machine-Learned Model-generated Queries Public/Granted day:2024-06-20
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