Invention Grant
- Patent Title: Maximizing quantifiable user interaction via modification of adjustable parameters
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Application No.: US15174108Application Date: 2016-06-06
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Publication No.: US10853735B1Publication Date: 2020-12-01
- Inventor: Yu Gan , Cédric Philippe Archambeau , Rodolphe Jenatton , Jim Huang , Fabian Lutz-Frank Wauthier
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Eversheds Sutherland (US) LLP
- Main IPC: G06N7/00
- IPC: G06N7/00 ; G06F3/0484 ; G06F16/2457

Abstract:
Systems, methods, and computer-readable media are disclosed for maximizing quantifiable user interaction via modification of adjustable parameters. In one embodiment, an example method may include determining a first output to maximize, where the first output is a function of a first adjustable parameter and a second adjustable parameter, determining first data comprising a first actual value of the first output when the first adjustable parameter is set to a first value and the second adjustable parameter is set to a second value, and determining a first predictive model that generates a first predicted value of the first output. Example methods may include determining, using the first predictive model, a third value for the first adjustable parameter and a fourth value for the second adjustable parameter to maximize the first predicted value, and sending the third value and the fourth value.
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N7/00 | 基于特定数学模式的计算机系统 |