Training a model to predict likelihoods of users performing an action after being presented with a content item
US12198155B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 21, 2023 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Apr 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0206
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An online concierge system trains a user interaction model to predict a probability of a user performing an interaction after one or more content items are displayed to the user. This provides a measure of an effect of displaying content items to the user on the user performing one or more interactions. The user interaction model is trained from displaying content items to certain users of the online concierge system and withholding display of the content items to other users of the online concierge system. To train the user interaction model, the user interaction model is applied to labeled examples identifying a user and value based on interactions the user performed after one or more content items were displayed to the user and interactions the user performed when one or more content items were not used.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.