Providing ranked relevant results for web database queries

  • Authors:
  • Ullas Nambiar;Subbarao Kambhampati

  • Affiliations:
  • Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ

  • Venue:
  • Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
  • Year:
  • 2004

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Abstract

Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. We propose to provide ranked answers to user queries by identifying a set of queries from the query log whose answers are relevant to the given user query. The relevance detection is done using a domain and end-user independent content similarity estimation technique.