Reformulation of tail queries for product searches
US11704714B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 20, 2020 |
| Grant date | Jul 18, 2023 |
| Priority date | — |
| Expiry date | Mar 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Technologies are provided for reformulation of a tail query to a head query with the same purchase intent by mapping the tail query to the head query. In some of the technologies, a reasonable embedding can be learned on historical head queries. The embedding can then be refined by leveraging rewards generated from a persistently noisy oracle that compensates for the lack of historical behavioral signal for tail queries. Further, a contextual sampling technique that uses text-based rewards or oracle-based rewards, or both, can be implemented in order to avoid biases introduced by persistent noise in the oracle. Numerical experiments on large scale e-commerce datasets demonstrate that the provided technologies can outperform several conventional approaches to query reformulation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.