Demographic based classification for local word wheeling/web search
US7778837B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2006 |
| Grant date | Aug 17, 2010 |
| Priority date | — |
| Expiry date | Mar 22, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9537
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods that create a classification of sentences in a language, and further construct associated local versions of language models, based on geographical location and/or other demographic criteria—wherein such local language models can be of different levels of granularity according to chosen demographic criteria. The subject innovation employs a classification encoder component that forms a classification (e.g. a tree structure) of sentences, and a local language models encoder component, which employs the classification of sentences in order to construct the localized language models. A decoder component can subsequently enable local word wheeling and/or local web search by blending k-best answers from local language models of varying demographic granularity that match users demographics. Hence, k-best matches for input data by users in one demographic locality can be different from k-best matches for the same input by other users in another locality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.