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Adaptive Content Recommendation by Mobile Apps Mash-Up in the Ubiquitous Environment

  • Conference paper
Information Technology Convergence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 253))

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Abstract

Traditionally, e-services are composed to assist the enterprise business process. In recent years, Software as a Service (SaaS) model in cloud computing enriches the mobile commerce. Mobile commerce promotes the service providers building an application market platform to serve customers. However, an application market platform may collect a huge number of mobile application services (mobile Apps) and each App is usually designed with little functionality. A customer may fetch a number of Apps to mash up in order to satisfy his/her comprehensive requirements. How to mash up the Apps to provide a feature-rich composition for a customer becomes an interest research issue. In this work, we explore an approach of Apps mash-up composition in a service platform for adaptive content recommendation. A user profile conducts the service level agreements in evaluating the service quality. An Apps mash-up composition is recommended to the customer an adaptive content in a ubiquitous environment.

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Acknowledgments

This research was supported in part by the Industrial Technology Research Institute and the National Science Council of Taiwan (Republic of China) with an NSC grant 101-2410-H-025-006.

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Authors and Affiliations

  1. Department of Information Management, National Taichung University of Science and Technology, Taichung, 40401, Taiwan, Republic of China

    Chih-Kun Ke, Chang-Yu Jen & Ssu-Wei Tang

  2. Department of Division for Mobile Internet Software Technology, Network Services and System Technology, Information and Communications Research Laboratories, Industrial Technology Research Institute, Hsinchu, 31040, Taiwan, Republic of China

    Yi-Jen Yeh

Authors
  1. Chih-Kun Ke
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  2. Yi-Jen Yeh
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  3. Chang-Yu Jen
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  4. Ssu-Wei Tang
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Corresponding author

Correspondence to Chih-Kun Ke .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology (SeoulTech), Seoul, Republic of South Korea

    James J. (Jong Hyuk) Park

  2. Faculty of Information Engineering, Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  3. Departament de Llenguatges i Sistemes Informàtics, Universitat Politècnica De Catalunya, Barcelona, Spain

    Fatos Xhafa

  4. Humanitas College, Kyung Hee University, Seoul, Republic of South Korea

    Hwa Young Jeong

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© 2013 Springer Science+Business Media Dordrecht

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Ke, CK., Yeh, YJ., Jen, CY., Tang, SW. (2013). Adaptive Content Recommendation by Mobile Apps Mash-Up in the Ubiquitous Environment. In: Park, J.J., Barolli, L., Xhafa, F., Jeong, H.Y. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_60

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  • DOI: https://doi.org/10.1007/978-94-007-6996-0_60

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6995-3

  • Online ISBN: 978-94-007-6996-0

  • eBook Packages: EngineeringEngineering (R0)

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