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 name...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2017
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6290 https://ink.library.smu.edu.sg/context/sis_research/article/7293/viewcontent/Personas_for_Content_Creators_via_Decomposed_Aggregate_Audience_Statistics.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | 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. |
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