Enhancing Mobile App User Understanding and Marketing with Heterogeneous Crowdsourced Data: A Review

Guo, B; Ouyang, Y; Guo, T; Cao, L; Yu, Z

Enhancing Mobile App User Understanding and Marketing with Heterogeneous Crowdsourced Data: A Review

Guo, B Ouyang, Y Guo, T Cao, L

Yu, Z

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Publication Type:: Journal Article
Citation:: IEEE Access, 2019, 7 pp. 68557 - 68571
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Guo, B	en_US
dc.contributor.author	Ouyang, Y	en_US
dc.contributor.author	Guo, T	en_US
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429	en_US
dc.contributor.author	Yu, Z	en_US
dc.date.accessioned	2020-03-23T02:46:36Z
dc.date.available	2020-03-23T02:46:36Z
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	IEEE Access, 2019, 7 pp. 68557 - 68571	en_US
dc.identifier.uri	http://hdl.handle.net/10453/139471
dc.description.abstract	© 2013 IEEE. The mobile app market has been surging in recent years. It has some key differentiating characteristics which make it different from traditional markets. To enhance mobile app development and marketing, it is important to study the key research challenges such as app user profiling, usage pattern understanding, popularity prediction, requirement and feedback mining, and so on. This paper reviews CrowdApp, a research field that leverages heterogeneous crowdsourced data for mobile app user understanding and marketing. We first characterize the opportunities of the CrowdApp, and then present the key research challenges and state-of-the-art techniques to deal with these challenges. We further discuss the open issues and future trends of the CrowdApp. Finally, an evolvable app ecosystem architecture based on heterogeneous crowdsourced data is presented.	en_US
dc.relation.ispartof	IEEE Access	en_US
dc.relation.isbasedon	10.1109/ACCESS.2019.2918325	en_US
dc.title	Enhancing Mobile App User Understanding and Marketing with Heterogeneous Crowdsourced Data: A Review	en_US
dc.type	Journal Article
utslib.citation.volume	7	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
utslib.for	10 Technology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	7	en_US

Abstract:

© 2013 IEEE. The mobile app market has been surging in recent years. It has some key differentiating characteristics which make it different from traditional markets. To enhance mobile app development and marketing, it is important to study the key research challenges such as app user profiling, usage pattern understanding, popularity prediction, requirement and feedback mining, and so on. This paper reviews CrowdApp, a research field that leverages heterogeneous crowdsourced data for mobile app user understanding and marketing. We first characterize the opportunities of the CrowdApp, and then present the key research challenges and state-of-the-art techniques to deal with these challenges. We further discuss the open issues and future trends of the CrowdApp. Finally, an evolvable app ecosystem architecture based on heterogeneous crowdsourced data is presented.

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http://hdl.handle.net/10453/139471