Techniques for navigational query identification
US7693865B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2006 |
| Grant date | Apr 6, 2010 |
| Priority date | — |
| Expiry date | Jan 6, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/24155
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
To accurately classify a query as navigational, thousands of available features are explored, extracted from major commercial search engine results, user Web search click data, query log, and the whole Web's relational content. To obtain the most useful features for navigational query identification, a three level system is used which integrates feature generation, feature integration, and feature selection in a pipeline. Because feature selection plays a key role in classification methodologies, the best feature selection method is coupled with the best classification approach to achieve the best performance for identifying navigational queries. According to one embodiment, linear Support Vector Machine (SVM) is used to rank features and the top ranked features are fed into a Stochastic Gradient Boosting Tree (SGBT) classification method for identifying whether or not a particular query is a navigational query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.