Generating and providing content stacks utilizing machine-learning models
US12373492B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2023 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Oct 4, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a content stack utilizing one or more machine-learning models. In some implementations, the disclosed systems generate and provide, to a user account, a content stack that includes content items corresponding to a topic prompt for the user account. For instance, in some implementations, the disclosed systems utilize content-based signals and account-based signals to generate an account-specific stack formulation graph that represents a plurality of content items and relationships of the content items with each other and with the user account. Additionally, in some implementations, the disclosed systems analyze the account-specific stack formulation graph to generate a content stack from the plurality of content items, the content stack comprising a set of content items corresponding to the topic prompt.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.