Combining machine-learning and social data to generate personalized recommendations
US11514333B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 30, 2018 |
| Grant date | Nov 29, 2022 |
| Priority date | — |
| Expiry date | Aug 4, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computing device receives a message including a request for a recommendation. A representation of a hypothetical ideal recommendation to provide in response to the message is determined based on the message content. Data regarding entities that are potential recommendations are retrieved from a data store, the data regarding each entity including a representation of the entity (e.g., a vector) derived from factual information about the entity and opinions of other users of the entity. Ranking scores are determined for at least a subset of the entities based on the difference between the entity representations and the representation of the hypothetical ideal recommendation. An entity to recommend is selected based on the ranking scores and a reply to the message is sent that identifies the selected entity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.