The cluster hypothesis for entity oriented search

Hadas Raviv, Oren Kurland, David Carmel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationSIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages841-844
Number of pages4
DOIs
StatePublished - 2013
Event36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013 - Dublin, Ireland
Duration: 28 Jul 20131 Aug 2013

Publication series

NameSIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013
Country/TerritoryIreland
CityDublin
Period28/07/131/08/13

Keywords

  • Cluster hypothesis
  • Entity oriented search

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Information Systems

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