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Intelligent Web Data Management of Content Syndication and Recommendation

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Intelligent Web Data Management: Software Architectures and Emerging Technologies

Part of the book series: Studies in Computational Intelligence ((SCI,volume 643))

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Abstract

Content syndication is a method by which information is pushed together. The idea is to drive more engagement with your content by wiring it into related digital contexts. However, there are some shortages of current related products, such as search challenges on massive feeds, synchronization performance, and user experience. To address these limitations, this Chapter introduces intelligent Web data management of a content syndication and recommendation system. The experimental result depicts that this architecture speeds up the search and synchronization process, and provides friendly user experience.

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Author information

Authors and Affiliations

  1. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, 250022, Shandong, China

    Kun Ma, Bo Yang & Runyuan Sun

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

Authors
  1. Kun Ma
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  2. Ajith Abraham
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  3. Bo Yang
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  4. Runyuan Sun
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Corresponding author

Correspondence to Kun Ma .

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© 2016 Springer International Publishing Switzerland

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Ma, K., Abraham, A., Yang, B., Sun, R. (2016). Intelligent Web Data Management of Content Syndication and Recommendation. In: Intelligent Web Data Management: Software Architectures and Emerging Technologies. Studies in Computational Intelligence, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-30192-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-30192-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30191-4

  • Online ISBN: 978-3-319-30192-1

  • eBook Packages: EngineeringEngineering (R0)

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