The impact of intent selection on diversified search evaluation

Tetsuya Sakai, Zhicheng Dou, Charles L.A. Clarke

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

To construct a diversified search test collection, a set of possible subtopics (or intents) needs to be determined for each topic, in one way or another, and per-intent relevance assessments need to be obtained. In the TREC Web Track Diversity Task, subtopics are manually developed at NIST, based on results of automatic click log analysis; in the NTCIR INTENT Task, intents are determined by manually clustering "subtopics strings" returned by participating systems. In this study, we address the following research question: Does the choice of intents for a test collection affect relative performances of diversified search systems? To this end, we use the TREC 2012 Web Track Diversity Task data and the NTCIR-10 INTENT-2 Task data, which share a set of 50 topics but have different intent sets. Our initial results suggest that the choice of intents may affect relative performances, and that this choice may be far more important than how many intents are selected for each topic.

本文言語English
ホスト出版物のタイトルSIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval
ページ921-924
ページ数4
DOI
出版ステータスPublished - 2013
外部発表はい
イベント36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013 - Dublin, Ireland
継続期間: 2013 7 282013 8 1

出版物シリーズ

名前SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013
国/地域Ireland
CityDublin
Period13/7/2813/8/1

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • 情報システム

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