Generating personalized query suggestions
US11475085B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | Feb 26, 2020 |
| Grant date | Oct 18, 2022 |
| Priority date | — |
| Expiry date | Oct 21, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning based method for generating personalized query suggestions is described. Different users may have different search intent even when they are inputting the same search query. The technical problem of personalizing search query suggestions produced by a machine learning model is addressed by extending the sequence to sequence machine learning model framework to be able to take into consideration additional, personalized features of the user, such as, e.g., profile industry, language, geographic location, etc. This methodology includes an offline model training framework as well as an online serving framework.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.