Machine learning system and method comprising segregator convergence and recognition components to determine the existence of possible tagging data trends and identify that predetermined convergence criteria have been met or establish criteria for taxonomy purpose then recognize items based on an aggregate of user tagging behavior
US7672909B2 · kind B2 · utility
15Cited by
25References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2006 |
| Grant date | Mar 2, 2010 |
| Priority date | — |
| Expiry date | Jul 31, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods that recognize items based on aggregated tagging behavior of users regarding the items. Individual users can establish relationships among tagged items and the system analyzes aggregate of such established relationships, to recognize the item and/or infer additional information regarding the items (e.g., wisdom of crowd such as metadata annotations, relevance ranking, and the like). Subsequently, search engine crawlers can be supplied with such additional information (e.g., extra metadata for reverse link search tables) to facilitate enterprise management and search.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.