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      Towards a quality service layer for Web 2.0

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      Author
      Schaal, M.
      Davenport, David
      Çevik, Ali Hamdi
      Date
      2011-12
      Source Title
      WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
      Publisher
      Springer
      Pages
      309 - 317
      Language
      English
      Type
      Conference Paper
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      Abstract
      Despite the help of search engines and Web directories, identifying high quality content becomes increasingly difficult as the Internet gets ever more crowded with information. Prior approaches for filtering and searching content with respect to user-specific preferences do exist: Recommendation engines employ collaborative filtering to support subjective selection, (semi-)automatic page ranking algorithms utilize the hypertext link structure of the World Wide Web to assess page importance, and trust-based systems employ social network analysis to determine the most suitable Web pages. The use of implicit and explicit user feedback, however, is often either ignored or its exploitation is limited to isolated Web sites. We thus propose a quality overlay framework that enables the collection and processing of user-feedback, and the subsequent presentation of quality-enabled content for any Web-site. We present the quality overlay framework, propose an architecture for its realization, and validate our approach by scenarios and a detailed design with sample implementation. © 2011 Springer-Verlag.
      Keywords
      Collaborative filtering
      Detailed design
      High quality
      Hypertext links
      Page ranking
      Quality services
      Social Network Analysis
      Subjective selection
      Trust-based systems
      User feedback
      Web 2.0
      Web directories
      Hypertext systems
      Information systems
      Intelligent systems
      Systems engineering
      User interfaces
      Websites
      Search engines
      Permalink
      http://hdl.handle.net/11693/28337
      Published Version (Please cite this version)
      https://doi.org/10.1007/978-3-642-24396-7_24
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      • Department of Computer Engineering 1368
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