System scoring using partial prior information

Sri Devi Ravana, Laurence A. Park, Alistair Moffat

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

5 Citations (Scopus)

Abstract

We introduce smoothing of retrieval effectiveness scores, which balances results from prior incomplete query sets against limited additional complete information, in order to obtain more refined system orderings than would be possible on the new queries alone.

Original languageEnglish
Title of host publicationProceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009
Pages788-789
Number of pages2
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 - Boston, MA, United States
Duration: 19 Jul 200923 Jul 2009

Publication series

NameProceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009

Conference

Conference32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009
Country/TerritoryUnited States
CityBoston, MA
Period19/07/0923/07/09

Keywords

  • Partial information
  • Score aggregation
  • Smoothing
  • System ordering

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