Intelligent Web Data Management of Content Syndication and Recommendation

  • Kun MaEmail author
  • Ajith Abraham
  • Bo Yang
  • Runyuan Sun
Part of the Studies in Computational Intelligence book series (SCI, volume 643)


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.


  1. 1.
    Board, R. A. (2007). RSS 2.0 speciation (version 2.0.10).Google Scholar
  2. 2.
    Ovadia, S. (2012). Staying informed with really simple syndication (RSS). Behavioral and Social Sciences Librarian, 31(3–4), 179–183.CrossRefGoogle Scholar
  3. 3.
    Benzinger, B. (2009). Google Reader Reviewed. Retrived from October 7, 2005.Google Scholar
  4. 4.
  5. 5.
  6. 6.
    Sen, S., Geyer, W., Muller, M., Moore, M., Brownholtz, B., Wilcox, E., & Millen, D. R. (2006). FeedMe: a collaborative alert filtering system. In Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work (pp. 89–98). ACM.Google Scholar
  7. 7.
    Hardt, D. (2012). The OAuth 2.0 authorization framework.Google Scholar
  8. 8.
    Zhang, W., Yoshida, T., & Tang, X. (2011). A comparative study of TF*IDF, LSI and multi-words for text classification. Expert Systems with Applications, 38(3), 2758–2765.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Shandong Provincial Key Laboratory of Network Based Intelligent Computing, School of Information Science and EngineeringUniversity of JinanJinanChina
  2. 2.Scientific Network for Innovation and Research ExcellenceMachine Intelligence Research Labs (MIR Labs)AuburnUSA

Personalised recommendations