Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
8-2017
Abstract
We propose a novel method for generating personas based on online user data for the increasingly common situation of content creators distributing products via online platforms. We use non-negative matrix factorization to identify user segments and develop personas by adding personality such as names and photos. Our approach can develop accurate personas representing real groups of people using online user data, versus relying on manually gathered data.
Discipline
Artificial Intelligence and Robotics | Numerical Analysis and Scientific Computing
Research Areas
Data Science and Engineering; Intelligent Systems and Optimization
Publication
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
First Page
632
Last Page
635
ISBN
9781450349932
Identifier
10.1145/3110025.3110072
Publisher
Association for Computing Machinery
City or Country
Sydney, Australia
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Artificial Intelligence and Robotics Commons, Numerical Analysis and Scientific Computing Commons
