Joint modeling of user behavior
US10354184B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2014 |
| Grant date | Jul 16, 2019 |
| Priority date | — |
| Expiry date | Apr 26, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0631
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A system and method is disclosed for predicting user behavior in response to various tasks and or/applications. This system can be a neural network-based joint model. The neural network can include a base neural network portion and one or more task-specific neural network portions. The artificial neural network can be initialized and trained using data from multiple users for multiple tasks and/or applications. This user data can be related to characteristics and behavior, including age, gender, geographic location, purchases, past search history, and customer reviews. Additional task-specific neural network portions can be added to the neural network and may be trained using a task-specific subset of the training data. The joint model can be used to predict user behavior in response to an identified task and/or application. The tasks and/or applications can relate to use of a website by users.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.