Amazon patents AI tool to fix product page issues in real-time
This patent describes a system that uses reinforcement learning to measure how specific product page layouts affect user behavior. It compares users who see a certain page context with those who do not, then automatically updates the page during a session to improve the experience.
In the filing’s own words
Devices, systems, and methods are provided for using reinforcement learning-based uplift modeling to mitigate a context of a page view. A method may include identifying, by a first device, a context of a page view associated with information of a product presented to a user of an online retail system; providing a neural network to estimate an uplift between a first group of users of the online retail system who are presented the context of the page view and a second group of users of the online retail system who are not presented the context of the page view; determining the uplift using a trained neural network; and performing, based on the uplift, an action associated with mitigating the context of the page view.
What exactly they claim (claim 1)
1. A method for modeling uplift to detect and mitigate user outcomes, the method comprising: identifying, by at least one processor of a first device, a context of a page view associated with first information of a product presented, using a second device, to a user on a first page of an online retail system and second product information of the product presented, using the second device, to the user on a second page of the online retail system; providing, by the at least one processor, a neural network configured to estimate an uplift between a first group of users of the online retail system who are presented the context of the page view and a second group of users of the online retail system who are not presented the context of the page view; determining, by the at least one processor, using the neural network, the uplift; and causing, by the at least one processor, based on the uplift, performance of an action associated with mitigating the context of the page view, wherein performance of the action comprises updating the first page of the online retail system during a user session during which the context of the page view occurs.
Facts
- Company
- Amazon (Amazon Technologies, Inc.)
- Official title
- Enhanced reinforcement learning-based uplift modeling to mitigate discrepancies
- Patent number
- US12762584B1
- Application number
- 17845599
- Filed
- Jun 21, 2022
- Granted
- Oct 13, 2026
- Inventors
- 7
- Claims
- 18
Classified under
G06Q 30/0202 Physics & computingG06Q 30/0641 Physics & computingMore from Amazon in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.
