Multi-view Personality Profiling Based on Longitudinal Data
| Autor: | Kseniya Buraya, Andrey Filchenkov, Aleksandr Farseev |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Data source
Computer science Longitudinal data media_common.quotation_subject Inference 02 engineering and technology Data science Temporal database 020204 information systems 0202 electrical engineering electronic engineering information engineering Personality Profiling (information science) 020201 artificial intelligence & image processing media_common |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319989310 CLEF |
| Popis: | Personality profiling is an essential application for the marketing, advertisement and sales industries. Indeed, the knowledge about one’s personality may help in understanding the reasons behind one’s behavior and his/her motivation in undertaking new life challenges. In this study, we take the first step towards solving the problem of automatic personality profiling. Specifically, we propose the idea of fusing multi-source multi-modal temporal data in our computational “PersonalLSTM” framework for automatic user personality inference. Experimental results show that incorporation of multi-source temporal data allows for more accurate personality profiling, as compared to non-temporal baselines and different data source combinations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|