System and method for determining semantically related terms using an active learning framework
US8275722B2 · kind B2 · utility
7Cited by
9References
19Claims
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Key dates
| Filing date | Mar 10, 2010 |
| Grant date | Sep 25, 2012 |
| Priority date | — |
| Expiry date | Dec 29, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/36
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for determining semantically related terms using an active learning framework such as Transductive Experimental Design are disclosed. Generally, to enhance a keyword suggestion tool, an active learning module trains a model to predict whether a term is relevant to a user. The model is then used to present the user with terms that have been determined to be relevant based on the model so that an online advertisement service provider may more efficiently provide a user with terms that are semantically related to a seed set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.