Quick learning recommendation method, non-transitory computer readable medium and system for baskets of goods
US11151631B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 17, 2018 |
| Grant date | Oct 19, 2021 |
| Priority date | — |
| Expiry date | Dec 3, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments provide a recommendation for an additional item in response to receiving a basket of goods determine a type for the basket of goods from a set of basket types, receive a set of additional targeted items as target recommendations and receive a history of received types of baskets of goods. Embodiments iteratively perform a clustering into a plurality of clusters of each of the basket types based on the history of received types of baskets of goods, and preference updating for each of the targeted items into each of the plurality of clusters. The iteratively performing, after a plurality of iterations, outputs a sequence of mappings and a sequence of preference parameters. Embodiments generate a frequency of tabulation of mappings from the sequence of mappings and then generate the recommendation based on the sequence of mappings, the sequence of preference parameters and the frequency of tabulation of mappings.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.