Hypergraph-based method for segmenting and clustering customer observables for vehicles
US11244115B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jul 26, 2019 |
| Grant date | Feb 8, 2022 |
| Priority date | — |
| Expiry date | Aug 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a system for identification of correlations in customer observables (COs). The system extracts key phrases representing COs from textual inputs from multiple data sources, wherein the COs are related to a consumer product. A unified hypergraph is constructed that models co-occurrences of COs. The unified hypergraph includes nodes and types of hyperedges connecting the nodes, where COs are represented by nodes and data sources are represented by different types of hyperedges. Each node of the unified hypergraph is embedded into a latent feature space. The unified hypergraph is partitioned into clusters within the latent feature space, where each cluster contains correlated CO data. The correlated CO data from a cluster are used to generate and provide targeted messages specific to the consumer product to a display device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.