Personas for content creators via decomposed aggregate audience statistics

Jisun An, Haewoon Kwak, Bernard James Jansen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017
EditorsJana Diesner, Elena Ferrari, Guandong Xu
PublisherAssociation for Computing Machinery, Inc
Pages632-635
Number of pages4
ISBN (Electronic)9781450349932
DOIs
StatePublished - Jul 31 2017
Event9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017 - Sydney, Australia
Duration: Jul 31 2017Aug 3 2017

Publication series

NameProceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017

Other

Other9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017
Country/TerritoryAustralia
CitySydney
Period7/31/178/3/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Fingerprint

Dive into the research topics of 'Personas for content creators via decomposed aggregate audience statistics'. Together they form a unique fingerprint.

Cite this