Scalable user intent mining using a multimodal restricted boltzmann machine
US9910930B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 31, 2014 |
| Grant date | Mar 6, 2018 |
| Priority date | — |
| Expiry date | May 7, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9032
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for scalable user intent mining is provided. The method includes detecting named entities from a plurality of query logs in a public query log dataset and generating features of the plurality of query logs based on the detected named entities. The method also includes applying a multimodal restricted boltzmann machine (RBM) on the generated features of the plurality of query logs to train a public multimodal RBM and generating a plurality of public query representations. Further, the method includes receiving a search query from a user, determining whether there are a plurality of history queries of the user. When there is no history query, user intent is predicted using the public multimodal RBM. When there are the history queries, the public multimodal RBM is applied on the plurality of history queries to train a personalized multimodal RBM, and the user intent is predicted using the personalized multimodal RBM.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.