Utilizing minimal relevance feedback for ad hoc retrieval

Eyal Krikon, Oren Kurland

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

Abstract

Using relevance feedback can significantly improve (ad hoc) retrieval effectiveness. Yet, if little feedback is available, effectively exploiting it is a challenge. To that end, we present a novel approach that utilizes document passages. Empirical evaluation demonstrates the merits of the approach.

Original languageEnglish
Title of host publicationSIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages1099-1100
Number of pages2
DOIs
StatePublished - 2011
Event34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011 - Beijing, China
Duration: 24 Jul 201128 Jul 2011

Publication series

NameSIGIR'11 - Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011
Country/TerritoryChina
CityBeijing
Period24/07/1128/07/11

Keywords

  • Language models
  • Passages
  • Relevance feedback

All Science Journal Classification (ASJC) codes

  • Information Systems

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