User-driven index selection
US8682811B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2009 |
| Grant date | Mar 25, 2014 |
| Priority date | — |
| Expiry date | Jul 28, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9566
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for index building are described. Clickcounts of respective training URLs may indicate a number of times that corresponding training URLs were clicked in search engine results. A machine learning algorithm implemented on a computer computes a trained model that is then stored. The clickcounts and respective URLs are passed to the machine learning algorithm to train the model to predict probabilities based on feature vectors of URLs. An index of web pages is built for a set of URLs that identify the web pages. Feature vectors for the URLs are computed. Probabilities of the web pages of the URLs being searched in the future by users may be computed by processing the feature vectors with the trained model. The probabilities may be used to determine which of the URLs to include in the index.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.