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}
}
OpenURL
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







