Personalized query expansion in the QIC system

Prat Tanapaisankit, Lori Watrous-DeVersterre, Min Song

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

3 Citations (Scopus)

Abstract

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
Title of host publicationJCDL '12 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries
Pages259-262
Number of pages4
DOIs
Publication statusPublished - 2012
Event12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12 - Washington, DC, United States
Duration: 2012 Jun 102012 Jun 14

Publication series

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

Other

Other12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12
CountryUnited States
CityWashington, DC
Period12/6/1012/6/14

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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