Personalization engine for classifying unstructured documents
US8214346B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2009 |
| Grant date | Jul 3, 2012 |
| Priority date | — |
| Expiry date | Jan 8, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/958
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Unstructured electronic documents are classified for profiling and targeting users for additional relevant content. Behavioral data is gathered from user activity, and user documents and actions are categorized. Profile information is combined with collaborative and editorial data to provide users with credible information regarding products. Author-generated document classification information is analyzed and assigned a first taxonomic noun to characterize the document. User-generated tags characterizing a portion of the document are assigned a second taxonomic noun. Search terms that resulted in the user accessing the document are identified and assigned a third taxonomic noun. Attributes related to how the document was accessed are evaluated and assigned a fourth taxonomic noun. The document is processed using pattern rules to extract a fifth taxonomic noun. The taxonomic nouns are aggregated to determine term vectors representing the document, and the document is categorized using the term vectors, the taxonomic nouns, or the author-generated classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.