Personalized query expansion in the QIC system

Document Type

Conference Proceeding

Publication Date

7-11-2012

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. © 2012 ACM.

Identifier

84863556655 (Scopus)

ISBN

[9781450311540]

Publication Title

Proceedings of the ACM IEEE Joint Conference on Digital Libraries

External Full Text Location

https://doi.org/10.1145/2232817.2232865

ISSN

15525996

First Page

259

Last Page

262

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