The cluster hypothesis for entity oriented search

  • Authors:
  • Hadas Raviv;Oren Kurland;David Carmel

  • Affiliations:
  • Technion, Haifa, Israel;Technion, Haifa, Israel;Yahoo! Research, Haifa, Israel

  • Venue:
  • Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2013

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Abstract

In this work we study the cluster hypothesis for entity oriented search (EOS). Specifically, we show that the hypothesis can hold to a substantial extent for several entity similarity measures. We also demonstrate the retrieval effectiveness merits of using clusters of similar entities for EOS.