Method and system for performing a probabilistic topic analysis of search queries for a customer support system
US10242093B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | Oct 29, 2015 |
| Grant date | Mar 26, 2019 |
| Priority date | — |
| Expiry date | Sep 11, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system uses a probabilistic topic model to identify topics that are relevant search query terms received by a customer support system from a user, according to one embodiment. The probabilistic topic model identifies topics that are relevant to the search query terms at least partially based on the context around the receipt of the search query terms, according to one embodiment. By identifying relevant topics at least partially based on the context around the receipt of the search query terms, a likelihood of inaccurately identifying a relevant topic is reduced, according to one embodiment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.