Average Gain Ratio: A Simple Retrieval Performance Measure for Evaluation with Multiple Relevance Levels

研究成果: Conference article査読

12 被引用数 (Scopus)

抄録

Average gain ratio which is based on the idea of cumulative gain and is used for evaluation with multiple relevance levels, is proposed. Cumulative gain assumes that an imaginary user scans the ranked output from the top, and 'gains' an additional score each time he finds a relevant document. Average gain ratio was proposed as a modification of weighted average precision. The results show that average gain ratio is more suitable for averaging across topics and is more robust to the variation in the number of relevant documents at each relevance level.

本文言語English
ページ(範囲)417-418
ページ数2
ジャーナルSIGIR Forum (ACM Special Interest Group on Information Retrieval)
SPEC. ISS.
出版ステータスPublished - 2003 12月 1
外部発表はい
イベントProceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada
継続期間: 2003 7月 282003 8月 1

ASJC Scopus subject areas

  • 管理情報システム
  • ハードウェアとアーキテクチャ

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