Analyzing sequences of interactions using a neural network with attention mechanism
US11714997B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 17, 2021 |
| Grant date | Aug 1, 2023 |
| Priority date | — |
| Expiry date | Jul 21, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/306
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Users interact with a computer system, which collects data about individual interactions the users have had with the computer system. The users are sorted into one of a first group or a second group. The computer system generates respective user sequence models for the users using information representing the individual interactions. The computer system analyzes the respective user sequence models using a recurrent neural network with an attention mechanism, which produces respective vectors corresponding to the user sequence models. Individual values in the vectors represent respective individual interactions by a given user and correspond to an amount of correlation between the respective individual interactions and the sorting of the given user into the first group or the second group. The computer system identifies a particular type of interaction that is correlated to users being sorted into the first group by analyzing the respective vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.