Unsupervised learning to fuse for information retrieval
US11030209B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2018 |
| Grant date | Jun 8, 2021 |
| Priority date | — |
| Expiry date | May 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for generating and evaluating fused query lists. A query on a corpus of documents is evaluated using a plurality of retrieval methods and a ranked list for each of the plurality of retrieval methods is obtained. A plurality of fused ranked lists is sampled, each fusing said ranked lists for said plurality of retrieval methods, and the sampled fused ranked lists are sorted. In an unsupervised manner, an objective comprising a likelihood that a fused ranked list, fusing said ranked lists for each of said plurality of retrieval methods, is relevant to a query and a relevance event, is optimized to optimize the sampling, until convergence is achieved. Documents of the fused ranked list are determined based on the optimization.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.