Personas for Content Creators via Decomposed Aggregate Audience Statistics

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.

• Publication year

  2017

• Venue

  International Conference on Advances in Social Networks Analysis and Mining

• Publication date

  2017-07-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1145/3110025.3110072
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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