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The Effects Of Query Complexity, Expansion And Structure On Retrieval Performance In Probabilistic Text Retrieval (1999)
| Venue: | University of Tampere |
| Citations: | 18 - 6 self |
BibTeX
@TECHREPORT{Kekäläinen99theeffects,
author = {Jaana Kekäläinen},
title = {The Effects Of Query Complexity, Expansion And Structure On Retrieval Performance In Probabilistic Text Retrieval},
institution = {University of Tampere},
year = {1999}
}
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Abstract
ueries using all search facets identified from requests, low complexity was achieved by formulating queries with major facets only. Query expansion was based on a thesaurus, from which the expansion keys were elicited for queries. There were five expansion types: (1) the first query version was an unexpanded, original query with one search key for each search concept (original search concepts) elicited from the test thesaurus; (2) the synonyms of the original search keys were added to the original query; (3) search keys representing the narrower concepts of the original search concepts were added to the original query; (4) search keys representing the associative concepts of the original search concepts were added to the original query; (5) all previous expansion keys were cumulatively added to the original query. Query structure refers to the syntactic structure of a query expression, marked with query operators and parentheses. The structure of queries was either weak (queries with n
Keyphrases
original query original search concept probabilistic text retrieval retrieval performance query complexity search key search concept search facet first query version query structure refers query expression test thesaurus major facet query operator previous expansion key low complexity expansion key expansion type query expansion associative concept syntactic structure original search key
