Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

3-2018

Abstract

We present Automatic Persona Generation (APG), a methodology and system for quantitative persona generation using large amounts of online social media data. The system is operational, beta deployed with several client organizations in multiple industry verticals and ranging from small-to-medium sized enterprises to large multi-national corporations. Using a robust web framework and stable back-end database, APG is currently processing tens of millions of user interactions with thousands of online digital products on multiple social media platforms, such as Facebook and YouTube. APG identifies both distinct and impactful user segments and then creates persona descriptions by automatically adding pertinent features, such as names, photos, and personal attributes. We present the overall methodological approach, architecture development, and main system features. APG has a potential value for organizations distributing content via online platforms and is unique in its approach to persona generation. APG can be found online at https://persona.qcri.org.

Keywords

personas, user analytics, user experience research

Discipline

Artificial Intelligence and Robotics | Databases and Information Systems

Research Areas

Data Science and Engineering; Intelligent Systems and Optimization

Publication

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval

First Page

321

Last Page

324

ISBN

9781450349253

Identifier

10.1145/3176349.3176893

Publisher

Association for Computing Machinery

City or Country

New Brunswick, NJ, USA

Download

Share

COinS