Time-aware structured query suggestion

Taiki Miyanishi, Tetsuya Sakai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationSIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages809-812
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013 - Dublin, Ireland
Duration: 2013 Jul 282013 Aug 1

Publication series

NameSIGIR 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
CountryIreland
CityDublin
Period13/7/2813/8/1

Keywords

  • Query suggestion
  • Time-aware information retrieval

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Information Systems

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