Identifying multimedia asset similarity using blended semantic and latent feature analysis
US11580306B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 22, 2019 |
| Grant date | Feb 14, 2023 |
| Priority date | — |
| Expiry date | Jul 5, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/43
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and system for determining a similarity relationship between a plurality of digital assets and a target digital asset comprises creating a normalized semantic feature vector associated with a search query, discovering the target asset based on the normalized semantic feature vector, generating a normalized latent feature vector associated with the target asset, comparing the normalized semantic feature vector with semantic feature vectors for each of the digital assets to generate a semantic comparison value, comparing the normalized target latent feature vector with latent feature vectors for each of the digital assets to generate a latent comparison value, blending the semantic comparison vector value with the latent feature comparison vector value to create a target comparison value for each of the digital assets, and reporting the digital assets having the highest target comparison values to the user or group of users.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.