Systems and methods of predicting resource usefulness using universal resource locators including counting the number of times URL features occur in training data
US7908234B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 15, 2008 |
| Grant date | Mar 15, 2011 |
| Priority date | — |
| Expiry date | Nov 5, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/951
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, system and apparatus are provided to train a usefulness prediction model to generate a usefulness prediction in connection with a given universal resource locator (URL), the training of the usefulness prediction model being based on a training set of URLs and a count of negative URLs and a count of positive URLs identified by the training set, and for each feature extacted from the URLs in the training set, a count of the positive URLs in the training set that include the feature and a count of the negative URLs in the training set that include the feature. One or more features of the given URL are extracted, and the extracted features are used together with the usefulness prediction model to generate a usefulness prediction for the given URL.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.