Latent intent clustering in high latent spaces
US12019656B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 23, 2023 |
| Grant date | Jun 25, 2024 |
| Priority date | — |
| Expiry date | Mar 23, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of latent intent clustering is provided. The method comprises encoding identified features in a number of electronic user reports in a database. A binary matrix is created, wherein each row of the binary matric represents a different report and each column represents a different available feature. A 1 is placed in each cell of the matrix that matches a feature present in a user report. Cosine similarities are calculated for the user reports, and a similarity matrix is created, wherein each row and column of the binary matrix represents a different report, and wherein the cosine similarities of the reports are placed in corresponding cells of the matrix. The reports are clustered according to the cosine similarities. Features common to reports in each cluster are identified, and an intent of each report cluster is labeled according to the common features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.