Utilizing inter-document similarities in federated search

Savva Khalaman, Oren Kurland

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

Abstract

We demonstrate the merits of using inter-document similarities for federated search. Specifically, we study a results merging method that utilizes information induced from clusters of similar documents created across the lists retrieved from the collections. The method significantly outperforms state-of-the-art results merging approaches.

Original languageEnglish
Title of host publicationSIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages1169-1170
Number of pages2
DOIs
StatePublished - 2012
Event35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012 - Portland, OR, United States
Duration: 12 Aug 201216 Aug 2012

Publication series

NameSIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012
Country/TerritoryUnited States
CityPortland, OR
Period12/08/1216/08/12

Keywords

  • federated search
  • inter-document similarities

All Science Journal Classification (ASJC) codes

  • Information Systems

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