Techniques for ranking content item recommendations
US11604798B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 10, 2021 |
| Grant date | Mar 14, 2023 |
| Priority date | — |
| Expiry date | Dec 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques describes herein include using software tools and feature vector comparisons to analyze and recommend images, text content, and other relevant media content from a content repository. A digital content recommendation tool may communicate with a number of back-end services and content repositories to analyze text and/or visual input, extract keywords or topics from the input, classify and tag the input content, and store the classified/tagged content in one or more content repositories. Input text and/or input images may be converted into vectors within a multi-dimensional vector space, and compared to a plurality of feature vectors within a vector space to identify relevant content items within a content repository. Such comparisons may include exhaustive deep searches and/or efficient tag-based filtered searches. Relevant content items (e.g., images, audio and/or video clips, links to related articles, etc.), may be retrieved and presented to a content author and embedded within original authored content.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.