User Models and Filtering Agents for Improved Internet Information Retrieval

  • Authors:
  • Sima C. Newell

  • Affiliations:
  • Bunyip Information Systems, Suite 300, 310 Str. Catherine St. West, Montréal, Canada. e-mail: sima@bunyip.com, sima@emf.mcgill.ca

  • Venue:
  • User Modeling and User-Adapted Interaction
  • Year:
  • 1997

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Abstract

Over the past few years, the amount of electronic informationavailable through the Internet has increased dramatically.Unfortunately, the search tools currently available for retrieving andfiltering information in this space are not effective in balancingrelevance and comprehensiveness. This paper analyzes the results ofexperiments in which HTML documents are searched with user models andsoftware agents used as intermediaries to the search. Simple usermodels are first combined with search specifications (or ’UserNeeds‘), to define an Enhanced User Need. Then UniformResource Agents are constructed to filter information based on the EUNparameters. The results of searches using different agents are thencompared to those obtained through a comparable simple keyword search,and it is shown that a user searching a pool of existing agents canobtain better search results than by conducting a traditional keywordsearch. This work thus demonstrates that the use of user models andinformation filtering agents do improve search results and may be usedto improve Internet information retrieval.