Methods, systems and techniques for ranking blended content retrieved from multiple disparate content sources
US10387432B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 5, 2015 |
| Grant date | Aug 20, 2019 |
| Priority date | — |
| Expiry date | Mar 4, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9535
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present teaching, which includes methods, systems and computer-readable media, relates to ranking content from multiple disparate sources including a person's personal data sources and non-personal data sources. The disclosed techniques may include obtaining a plurality sets of content associated with a request from a person, each of which being from a separate data source, and applying a model for each set of content to obtain a set of features for each piece of content in the set of content, wherein the model is specific to a data source from where the set of content comes from. Each set of features for each piece of content of the set of content may be normalized with respect to a common space to generate a normalized feature set. Further, a score for each piece of content from a set of content may be estimated based on the normalized feature set for the piece of content, and based on the score of the piece of content, each piece of content of the plurality sets of content may be ranked.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.