Content recommendation based upon continuity and grouping information of attributes
US11995572B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 16, 2023 |
| Grant date | May 28, 2024 |
| Priority date | — |
| Expiry date | Jan 16, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One or more computing devices, systems, and/or methods for content recommendation based upon continuity and grouping information of attributes are provided herein. User interaction data specifying whether users interacted with content items, user attributes of the users, and content attributes of the content items is obtained. A data structure is populated with the user interaction data. The data structure is modified by inserting a set of sub-fields into the data structure for a user attribute. A sub-field is populated with a value representing an option of the user attribute. The set of sub-fields are an encoding of continuity information and grouping information representing options for the user attribute. The data structure is processed using machine learning functionality to generate a model. The model is utilized to generate a prediction as to whether a user will interact with a content item.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.