Systems and methods for slate optimization with recurrent neural networks
US10592777B2 · kind B2 · utility
2Cited by
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20Claims
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Key dates
| Filing date | May 20, 2019 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | May 20, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0202
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for generating a slate of ranked items are provided. In one example embodiment, a computer-implemented method includes inputting a sequence of candidate items into a machine-learned model, and obtaining, in response to inputting the sequence of candidate items into the machine-learned model, an output of the machine-learned model that includes a ranking of the candidate items that presents a diverse set of the candidate items at the top positions in the ranking such that one or more highly relevant candidate items can be demoted in the ranking.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.