Personalized query expansion in the QIC system

Prat Tanapaisankit, Lori Watrous-DeVersterre, Min Song

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

4 Scopus citations


Query In Context (QIC) is a personalized search system that enhances individual search by incorporating user preferences in query expansion, capturing meanings embedded in documents, and ranking search results with context-enriched features. In this paper, we propose a new technique for QIC's Query Expansion module, which reformulates user queries by using novel statistical-based and knowledge-based query expansion techniques to improve the returned results. The promising preliminary results analyzed through precision and recall metrics show better alignment between the user's interests and the results retrieved.

Original languageEnglish (US)
Title of host publicationJCDL '12 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries
Number of pages4
StatePublished - 2012
Event12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12 - Washington, DC, United States
Duration: Jun 10 2012Jun 14 2012

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996


Other12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12
Country/TerritoryUnited States
CityWashington, DC

All Science Journal Classification (ASJC) codes

  • General Engineering


  • personalized search
  • query expansion
  • semantic query analysis

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