Automatic semantic rating and abstraction of literature
US9535899B2 · kind B2 · utility
6Cited by
11References
20Claims
0Family size
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Key dates
| Filing date | Feb 20, 2013 |
| Grant date | Jan 3, 2017 |
| Priority date | — |
| Expiry date | Nov 24, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Deep semantic analysis is performed on an electronic literary work in order to detect plot elements and optional other storyline elements such as characters within the work. Multiple levels of abstract are generated into a model representing the literary work, wherein each element in each abstraction level may be independently rated for preference by a user. Through comparison of multiple abstraction models and one or more user rating preferences, one or more alternative literary works may be automatically recommended to the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.