System and method for matching integration process management system users using deep learning and matrix factorization
US11875138B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 13, 2020 |
| Grant date | Jan 16, 2024 |
| Priority date | — |
| Expiry date | Nov 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F8/71
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of matching integration process users may comprise receiving execution logs recording data associated with selections of integration process visual elements, generating a user/visual element interaction matrix based on counts of integration process visual element selections, inputting the user/visual element interaction matrix into a trained neural network to generate an optimized user preference and visual element embedding matrices, determining a latent feature user preference value adapting positive user feedback to incorporate implicit negative feedback of users for the integration process visual elements based on the optimized user preference and visual element embedding matrices, identifying users associated with latent feature user preference values for one of the integration process visual elements falling within a preset range of each other as matching users, and transmitting identification of the matching users and identification of the one of the plurality of integration process visual elements to at least one matched user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.