Machine learning techniques for processing tag-based representations of sequential interaction events
US10938927B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2017 |
| Grant date | Mar 2, 2021 |
| Priority date | — |
| Expiry date | Nov 10, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for processing tag-based event communications using machine learning. One or more event communications are received from a user device. The communication(s) include key-value pairs representing an ordered sequence of multiple interaction events of a set of predefined events. Each communication of the one or more event communications includes one generated via execution of tag code integrated with code of an app page or of a webpage. A representation of the ordered sequence is processed using a machine learning model to generate one or more profile estimation results that include an identification of a particular user profile from amongst a set of stored user profile. Profile data is transmitted to a client system that identifies the particular user profile or is from the particular user profile.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.