Beyond basic faceted search

Ori Ben-Yitzhak, Nadav Golbandi, Nadav Har'El, Ronny Lempel, Andreas Neumann, Shila Ofek-Koifman, Dafna Sheinwald, Eugene Shekita, Benjamin Sznajder, Sivan Yogev

Research output: Contribution to conferencePaperpeer-review

105 Scopus citations


This paper extends traditional faceted search to support richer information discovery tasks over more complex data models. Our first extension adds exible, dynamic business intelligence aggregations to the faceted application, enabling users to gain insight into their data that is far richer than just knowing the quantities of documents belonging to each facet. We see this capability as a step toward bringing OLAP capabilities, traditionally supported by databases over relational data, to the domain of free-text queries over metadata-rich content. Our second extension shows how one can efficiently extend a faceted search engine to support correlated facets - a more complex information model in which the values associated with a document across multiple facets are not independent. We show that by reducing the problem to a recently solved tree-indexing scenario, data with correlated facets can be efficiently indexed and retrieved.

Original languageEnglish
Number of pages11
StatePublished - 1 May 2008
Externally publishedYes
Event2008 International Conference on Web Search and Data Mining, WSDM 2008 - Palo Alto, CA, United States
Duration: 11 Feb 200812 Feb 2008


Conference2008 International Conference on Web Search and Data Mining, WSDM 2008
Country/TerritoryUnited States
CityPalo Alto, CA


  • Business intelligence
  • Multifaceted search
  • Search engines

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Software
  • Theoretical Computer Science


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