Learning to shorten query sessions

  • Authors:
  • Cristina Ioana Muntean;Franco Maria Nardini;Fabrizio Silvestri;Marcin Sydow

  • Affiliations:
  • ISTI - CNR, Pisa, Italy;ISTI - CNR, Pisa, Italy;ISTI - CNR, Pisa, Italy;Institute of Computer Science, Polish Academy of Sciences and Polish-Japanese Institute of Information Technology, Warsaw, Poland

  • Venue:
  • Proceedings of the 22nd international conference on World Wide Web companion
  • Year:
  • 2013

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Abstract

We propose the use of learning to rank techniques to shorten query sessions by maximizing the probability that the query we predict is the "final" query of the current search session. We present a preliminary evaluation showing that this approach is a promising research direction.