System and method for predicting web user flow by determining association strength of hypermedia links
US6671711B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2000 |
| Grant date | Dec 30, 2003 |
| Priority date | — |
| Expiry date | Mar 31, 2020 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99934
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention also provides a system and method for predicting user traffic flow in a collection of hypermedia documents by determining the association strength of the hypermedia links. Hypermedia links are identified among a plurality of documents, where the documents include content items such as keywords that may or may not be relevant to a user information need. The distribution of the content items in the document collection is then determined. An information item is received as input, and is compared to the content items. In response to the comparison, association strengths are assigned to the hypermedia links. A network flow model uses the association strengths of the hypermedia links to predict user traffic flow in response to an initial condition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.