Iterative online learning to improve targeted advertising
US12182723B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 1, 2023 |
| Grant date | Dec 31, 2024 |
| Priority date | — |
| Expiry date | May 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0275
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes accessing web browsing history for a plurality of users, generating embedding vectors based on the web browsing history for websites, and selecting a model configured to receive embedding vectors and output probability of a conversion events. Further, the method includes calculating a probability of a conversion event for the various websites using the model, selecting a subset of websites from the various websites based on websites having associated probabilities greater that a predetermined probability threshold, and receiving an indication that an impression has been displayed to a user when the user visits a website from the subset of websites, obtaining a plurality of conversion rates, each conversion rate is determined for each website from the subset of websites based on a number of conversion events associated with the plurality of visitation events, and updating the model parameters of the model using the obtained plurality of conversion rates.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.