Analysis of usage patterns in experiential multiple perspective web search

  • Authors:
  • Rahul Singh;Ya-Wen Hsu

  • Affiliations:
  • San Francisco State University, San Francisco, CA;San Francisco State University, San Francisco, CA

  • Venue:
  • Proceedings of the 15th international conference on Multimedia
  • Year:
  • 2007

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Abstract

With the rapid growth in the volume, complexity, and heterogeneity of information in the World Wide Web (WWW), the role of user-data interaction paradigms is becoming increasingly critical to the success of web-based information retrieval and assimilation. Currently, the paucity of mature paradigms in this problem area contrasts sharply with the advances in design of search techniques that allow indexing large volumes of information and efficiently executing keyword-based search. State of the art research in mediating user-data interactions over large information repositories such as the WWW has seen the proposition of techniques such as page categorization, page summarization, content-based page clustering, as well as algorithms for recognizing semantic correlations between web-pages having heterogeneous content and supporting experiential and unified interactions across them. In this context, a key challenge involves studying and analyzing user behaviors and usage patterns in such information interaction frameworks. In this paper, we present a study that investigates this issue by analyzing both quantitatively and qualitatively how users interact, query, explore, and assimilate information in such an environment. We also investigate how efficacious such interaction paradigms are as compared to the standard approach of presenting results by ordering them in terms of page rank. Results from our investigation provide important insights into user behavior in heterogeneous information organization and interaction frameworks and will be valuable in further development of information presentation, querying, and interaction techniques.