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What Next in Designing Personalized Visualization of Web Information

  • Shibli SaleheenEmail author
  • Wei Lai
  • Xiaodi Huang
  • Weidong Huang
  • Mao Lin Huang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9929)

Abstract

Current state of the art in personalized visualization of web information is tailored to provide a better view of how the information is resided and connected to each other inside the internet. With the recent enhancement in information and communication technology, users are provided a very large amount of information when they search for a particular information from a specific website. Studies show that, user can perceive the information in a more better way if they are provided the information with visual representation instead of its textual counterpart. However, to be effective to the users, the visual representation should be specific to the need of a particular user. Research is conducted from various viewpoints to make the visual representation (graph-representation of the web information) more user-specific. To achieve this, filtering and clustering techniques have been applied to web information to make large web graphs to compact ones. Besides, user modeling has been applied to infer the user’s need for a specific time and context. These tend to make the navigation of web information easy and effective to the end user. This paper discusses the current progress in graph-based web information visualization and also outlines the scopes of improvements that could benefit the user exploring the desired information from the web space effectively and efficiently.

Keywords

Visualization Webgraph User model Clustering 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Shibli Saleheen
    • 1
    Email author
  • Wei Lai
    • 1
  • Xiaodi Huang
    • 2
  • Weidong Huang
    • 3
  • Mao Lin Huang
    • 4
  1. 1.Faculty of Science, Engineering and TechnologySwinburne University of TechnologyHawthornAustralia
  2. 2.School of Computing and MathematicsCharles Sturt UniversityAlburyAustralia
  3. 3.School of Engineering and ICTUniversity of TasmaniaNewnhamAustralia
  4. 4.School of SoftwareUniversity of Technology SydneyUltimoAustralia

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