- 著者
- Padmini Srinivasan
- タイトル
- Query Expansion and MEDLINE
- ページ
- 431-443
- 日時
- July 1996
- 概要
- This paper evaluates the effectiveness of query
expansion strategies on a MEDLINE test collection
using Cornell University's SMART retrieval system.
Three expansion strategies are tested on their ability
to identify MeSH terms for user queries: expansion
using an inter-field statistical thesaurus, expansion
via retrieval feedback and expansion using a combined
approach. These expansion strategies do not require
prior relevance decisions. The study compares
retrieval effectiveness using the original unexpanded
and the alternative expanded user queries on a
collection of 75 queries and 2234 MEDLINE citations.
Retrieval effectiveness is assesses using eleven point
average precision scores (11-AvgP). The combination of
expansion using the thesaurus followed by retrieval
feedback gives the best improvement of 17% over a
baseline performance of 0.5169 11-AvgP. However this
improvement is almost identical to that achieved by
expansion via retrieval feedback (16.4%). Query
expansion using the inter-field thesaurus gives a
significant but lower performance improvement (9.9%)
over the same baseline. This study recommends query
expansion using retrieval feedback for adding MeSH
search terms to a users initial query.
- カテゴリ
- IR
Category: IR
Journal: Information Processing and Management
Abstract: This paper evaluates the effectiveness of query
expansion strategies on a MEDLINE test collection
using Cornell University's SMART retrieval system.
Three expansion strategies are tested on their ability
to identify MeSH terms for user queries: expansion
using an inter-field statistical thesaurus, expansion
via retrieval feedback and expansion using a combined
approach. These expansion strategies do not require
prior relevance decisions. The study compares
retrieval effectiveness using the original unexpanded
and the alternative expanded user queries on a
collection of 75 queries and 2234 MEDLINE citations.
Retrieval effectiveness is assesses using eleven point
average precision scores (11-AvgP). The combination of
expansion using the thesaurus followed by retrieval
feedback gives the best improvement of 17% over a
baseline performance of 0.5169 11-AvgP. However this
improvement is almost identical to that achieved by
expansion via retrieval feedback (16.4%). Query
expansion using the inter-field thesaurus gives a
significant but lower performance improvement (9.9%)
over the same baseline. This study recommends query
expansion using retrieval feedback for adding MeSH
search terms to a users initial query.
Number: 4
Bibtype: Article
URL: http://bubl.ac.uk/journals/lis/fj/ipam/v32n0496.htm
Pages: 431-443
Month: jul
Author: Padmini Srinivasan
Title: Query Expansion and MEDLINE
Year: 1996
Date: 2003/08/01 04:59:51
Volume: 32