A treemap-based result interface for search engine users

  • Authors:

  • Shixian Chu;Jinfeng Chen;Zonghuan Wu;Chee-Hung Henry Chu;Vijay Raghavan

  • Affiliations:

  • The Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA;The Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA;The Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA;The Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA;The Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA

  • Venue:
  • Proceedings of the 2007 conference on Human interface: Part I
  • Year:
  • 2007

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Abstract

Search engines and metasearch engines on the World Wide Web typically display representative information such as the result document titles and snippets in a one-dimensional ranked list. Alternatively, a few others such as Clusty and Kartoo cluster their results so that users can, to a certain extent, interact with documents, keywords and/or clusters. The number of documents that can be effectively presented in one screen is usually limited to between 10 and 20. In this paper, we propose a method based on treemap visualization that substantially improve the information compactness. In addition, it provides a few unique post-search interaction methods that enable a user to manage a large number of results. An online prototype system is built. Various experiments are designed and done to evaluate the efficiency, effectiveness and usability.