Personalized query expansion in the QIC system

Prat Tanapaisankit; Lori Watrous-DeVersterre; Min Song

doi:10.1145/2232817.2232865

Personalized query expansion in the QIC system

Prat Tanapaisankit, Lori Watrous-DeVersterre, Min Song

Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

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 language	English (US)
Title of host publication	JCDL '12 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries
Pages	259-262
Number of pages	4
DOIs	https://doi.org/10.1145/2232817.2232865
State	Published - 2012
Event	12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12 - Washington, DC, United States Duration: Jun 10 2012 → Jun 14 2012

Publication series

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

Other

Other	12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12
Country/Territory	United States
City	Washington, DC
Period	6/10/12 → 6/14/12

All Science Journal Classification (ASJC) codes

General Engineering

Keywords

personalized search
query expansion
semantic query analysis

Access to Document

10.1145/2232817.2232865

Cite this

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title = "Personalized query expansion in the QIC system",

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.",

keywords = "personalized search, query expansion, semantic query analysis",

author = "Prat Tanapaisankit and Lori Watrous-DeVersterre and Min Song",

year = "2012",

doi = "10.1145/2232817.2232865",

language = "English (US)",

isbn = "9781450311540",

series = "Proceedings of the ACM/IEEE Joint Conference on Digital Libraries",

pages = "259--262",

booktitle = "JCDL '12 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries",

note = "12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12 ; Conference date: 10-06-2012 Through 14-06-2012",

}

Tanapaisankit, P, Watrous-DeVersterre, L & Song, M 2012, Personalized query expansion in the QIC system. in JCDL '12 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, pp. 259-262, 12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12, Washington, DC, United States, 6/10/12. https://doi.org/10.1145/2232817.2232865

TY - GEN

T1 - Personalized query expansion in the QIC system

AU - Tanapaisankit, Prat

AU - Watrous-DeVersterre, Lori

AU - Song, Min

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - personalized search

KW - query expansion

KW - semantic query analysis

UR - http://www.scopus.com/inward/record.url?scp=84863556655&partnerID=8YFLogxK

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U2 - 10.1145/2232817.2232865

DO - 10.1145/2232817.2232865

M3 - Conference contribution

AN - SCOPUS:84863556655

SN - 9781450311540

T3 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries

SP - 259

EP - 262

BT - JCDL '12 - Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries

T2 - 12th ACM/IEEE-CS Joint Conference on Digital Libraries, JCDL '12

Y2 - 10 June 2012 through 14 June 2012

ER -

Personalized query expansion in the QIC system

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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