Method and system for a user-specific cognitive unit that enhances generic recommendation systems
US11468343B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 4, 2018 |
| Grant date | Oct 11, 2022 |
| Priority date | — |
| Expiry date | May 17, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system are disclosed for a novel architecture in which competing suggestions, possibly generated by competing systems, are selected by a Cognitive Unit (CU). The CU observes the user context and learns which contextual circumstances affect the user's cognitive behaviour. Majority of the traditional models trained over multiple users fail to represent the individual because (1) they ignore personal bias toward certain decisions and (2) they don't have complete visibility of all options available to users (i.e. from competitive systems). The invention is ideally suited to interact with several other products as more and more modern products are using AIs to drive the user experience. That shifts traditional HCI towards a novel form of interaction that we call human-AI interaction (HAII). When applied to user experience, predictive models make decisions on users' behalf attempting to minimise user interaction while guiding them toward the completion of predefined funnels. This invention presents a novel approach using a personal model capable of partially replicating cognitive behaviours by learning personal situational biases using the CU. By leveraging the personal bias…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.