Time-aware structured query suggestion

Taiki Miyanishi, Tetsuya Sakai

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

15 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
Duration: 2013 Jul 282013 Aug 1

Other

Other36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2013
CityDublin
Period13/7/2813/8/1

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Keywords

  • Query suggestion
  • Time-aware information retrieval

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Information Systems

Cite this

Miyanishi, T., & Sakai, T. (2013). Time-aware structured query suggestion. In SIGIR 2013 - Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 809-812) https://doi.org/10.1145/2484028.2484143