Predictive publishing of RSS articles
US8255521B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 27, 2009 |
| Grant date | Aug 28, 2012 |
| Priority date | — |
| Expiry date | Jul 30, 2029 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/306
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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. In turn, that data can be applied to help publishers better understand their readership. Embodiments of the present invention are directed to capturing user data, generate predictions on how an article would be received by the readership (preferably before it is published), and automatically create recommendations for use by an author or web publisher on how the article might be edited or “fine tuned” to achieve greater impact. This conserves precious time for publishers by giving predictions and thus helps generate more relevant content for the readership. In one embodiment, we build a profile for each author/publisher over her entire set of published articles. So when a new article is written, it is matched against this author profile and recommendations are made. The rollups are done on all articles published by a single author.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.