Predictive publishing of internet digital content
USRE47167E1 · kind E1 · reissue
Assignees
Inventors
Key dates
| Filing date | Jul 23, 2015 |
| Grant date | Dec 18, 2018 |
| Priority date | — |
| Expiry date | Jul 23, 2035 |
Classification
- Technology area (CPC —)General
Abstract
A rich set of data can be acquired by suitable technology, integrated with RSS reader implementations, to better understand the web feed consuming audience. That data can be applied to help publishers better understand their readership. This disclosure is directed to capturing user data, generating predictions on how an article would be received by the readership (preferably before it is published), and automatically creating recommendations for use by an author or web publisher on how the article might be edited or “fine tuned” to achieve greater impact. In one embodiment, we build a profile for each author/publisher over her entire set of published articles. When a new article is written, it is matched against this author profile and recommendations are made.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.