Intent-aware learning for automated sample selection in interactive data exploration
US12079217B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 11, 2022 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Aug 5, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/217
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some techniques described herein relate to utilizing a machine-learning (ML) model to select respective samples for queries of a query sequence. In one example, a method includes receiving a query in a query sequence, where the query is directed toward a dataset. Samples are available as down-sampled versions of the dataset. The method further include applying an agent to select, for the query, a sample from among the samples of the dataset. The agent includes an ML model trained, such as via intent-based reinforcement learning, to select respective samples for queries. The query is then executed against the sample to output a response.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.