Time-aware structured query suggestion

Taiki Miyanishi, Tetsuya Sakai

研究成果: Conference contribution

16 被引用数 (Scopus)

抄録

Most commercial search engines have a query suggestion feature, which is designed to capture various possible search intents behind the user's original query. However, even though different search intents behind a given query may have been popular at different time periods in the past, existing query suggestion methods neither utilize nor present such information. In this study, we propose Time-aware Structured Query Suggestion (TaSQS) which clusters query suggestions along a timeline so that the user can narrow down his search from a temporal point of view. Moreover, when a suggested query is clicked, TaSQS presents web pages from query-URL bipartite graphs after ranking them according to the click counts within a particular time period. Our experiments using data from a commercial search engine log show that the time-aware clustering and the time-aware document ranking features of TaSQS are both effective.

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809-812
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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