Processing apparatus, processing method, estimating apparatus, estimating method, and program
US10579933B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 18, 2015 |
| Grant date | Mar 3, 2020 |
| Priority date | — |
| Expiry date | Jul 23, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A processing apparatus is disclosed for representing cognitively biased selection behavior of a consumer as a learnable model with high prediction accuracy taking into account even feature values of a product and the consumer. The processing apparatus generates a selection model obtained by modeling selection behavior of a selection entity that selects at least one choice out of presented input choices. The processing apparatus includes an acquiring unit to acquire training data including a plurality of input feature vectors that indicate features of a plurality of the choices presented to the selection entity and an output feature vector that indicates a feature of an output choice. The processing apparatus further includes an input combining unit to combine the plurality of input vectors to generate an input combined vector, and a learning processing unit to learn a selection model on the basis of the input combined vector and the output vector.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.