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Personas for Content Creators via Decomposed Aggregate Audience Statistics

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ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

Pages 632 - 635

https://doi.org/10.1145/3110025.3110072

Published: 31 July 2017 Publication History

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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.

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Cited By

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Salminen JChhirang KJung SThirumuruganathan SGuan KJansen B(2022)Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User SegmentsBig Data10.1089/big.2021.017710:4(313-336)Online publication date: 1-Aug-2022
https://doi.org/10.1089/big.2021.0177
Jansen BSalminen JJung SGuan KJansen BSalminen JJung SGuan K(2022)Evaluating Data-Driven PersonasData-Driven Personas10.1007/978-3-031-02231-9_9(209-237)Online publication date: 8-Mar-2022
https://doi.org/10.1007/978-3-031-02231-9_9
Jansen BSalminen JJung SGuan KJansen BSalminen JJung SGuan K(2022)Creating Data-Driven PersonasData-Driven Personas10.1007/978-3-031-02231-9_4(93-118)Online publication date: 8-Mar-2022
https://doi.org/10.1007/978-3-031-02231-9_4
Show More Cited By

Personas for Content Creators via Decomposed Aggregate Audience Statistics
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
2. Information systems
  1. Information retrieval

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Published In

ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

July 2017

698 pages

ISBN:9781450349932

DOI:10.1145/3110025

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 July 2017

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ASONAM '17

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SIGKDD

ASONAM '17: Advances in Social Networks Analysis and Mining 2017

July 31 - August 3, 2017

Sydney, Australia

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Overall Acceptance Rate 116 of 549 submissions, 21%

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Cited By

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Salminen JChhirang KJung SThirumuruganathan SGuan KJansen B(2022)Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User SegmentsBig Data10.1089/big.2021.017710:4(313-336)Online publication date: 1-Aug-2022
https://doi.org/10.1089/big.2021.0177
Jansen BSalminen JJung SGuan KJansen BSalminen JJung SGuan K(2022)Evaluating Data-Driven PersonasData-Driven Personas10.1007/978-3-031-02231-9_9(209-237)Online publication date: 8-Mar-2022
https://doi.org/10.1007/978-3-031-02231-9_9
Jansen BSalminen JJung SGuan KJansen BSalminen JJung SGuan K(2022)Creating Data-Driven PersonasData-Driven Personas10.1007/978-3-031-02231-9_4(93-118)Online publication date: 8-Mar-2022
https://doi.org/10.1007/978-3-031-02231-9_4
Lee JKim YRhiu IYun M(2021)A Persona-Based Approach for Identifying Accessibility Issues in Elderly and Disabled Users’ Interaction with Home AppliancesApplied Sciences10.3390/app1101036811:1(368)Online publication date: 1-Jan-2021
https://doi.org/10.3390/app11010368
Salminen JGuan KJung SJansen B(2021)A Survey of 15 Years of Data-Driven Persona DevelopmentInternational Journal of Human–Computer Interaction10.1080/10447318.2021.190867037:18(1685-1708)Online publication date: 12-Apr-2021
https://doi.org/10.1080/10447318.2021.1908670
Knisely BVaughn-Cooke MWagner LFink J(2021)Device personalization for heterogeneous populations: leveraging physician expertise and national population data to identify medical device patient user groupsUser Modeling and User-Adapted Interaction10.1007/s11257-021-09305-8Online publication date: 12-Oct-2021
https://doi.org/10.1007/s11257-021-09305-8
Jansen BSalminen JJung S(2020)Data-Driven Personas for Enhanced User Understanding: Combining Empathy with Rationality for Better Insights to AnalyticsData and Information Management10.2478/dim-2020-00054:1(1-17)Online publication date: Mar-2020
https://doi.org/10.2478/dim-2020-0005
Salminen JSengün SJung SJansen BAzzopardi LHalvey MRuthven IJoho HMurdock VQvarfordt P(2019)Design Issues in Automatically Generated Persona ProfilesProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298942(225-229)Online publication date: 8-Mar-2019
https://dl.acm.org/doi/10.1145/3295750.3298942
Salminen JJansen BAn JKwak HJung SNielsen L(2019)Automatic Persona Generation for Online Content Creators: Conceptual Rationale and a Research AgendaPersonas - User Focused Design10.1007/978-1-4471-7427-1_8(135-160)Online publication date: 9-Feb-2019
https://doi.org/10.1007/978-1-4471-7427-1_8
An JKwak HJung SSalminen JAdmad MJansen B(2018)Imaginary People Representing Real NumbersACM Transactions on the Web10.1145/326598612:4(1-26)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1145/3265986
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