1 edition of Effects of query complexity, expansion and structure on retrieval performance in probabilistic text retrieval found in the catalog.
Academic dissertation, University of Tampere, Department of Information Studies, Finland--verso t.p.Includes bibliographical references
|Statement||University of Tampere|
|Publishers||University of Tampere|
|The Physical Object|
|Pagination||xvi, 72 p. :|
|Number of Pages||98|
|2||Acta Universitatis Tamperensis -- 678|
nodata File Size: 5MB.
A dialogue between Timothy and Titus about the articles and some of the canons of the Church of England
Handbook of Plant & Crop Physiology Revised & Expanded (Books in Soils, Plants, and the Environment)
The differences in performance between complexity levels varied by different expansions, but in all, differences were minor in this respect.
Hull D 1993 Using statistical testing in the evaluation of retrieval experiments. Second we find that good performance can be achieved when only a few sites are selected and that the performance generally increases as more sites are selected. Journal of Documentation, 57: 358-374.
Next complete phrases have to be parsed using some form of syntactic analysis. In: Croft WB, Moffat A, van Rijsbergen W, Wilkinson R and Zobel J Eds.
4 The traditional Boolean approach does not provide a relevance ranking of the retrieved documents, although modern Boolean approaches can make use of the degree of coordination, field level and degree of stemming present to rank them [Marcus 1991].
1990 indicate that thoughts about the information need become clearer and more focused as users move through the search process. For each operator with a narrowing effect, there is one or more inverse operators with a broadening effect [Marcus 1991].
Experiments performed on small collections with single-domain thesauri sug. DR-LINK system employs sophisticated, linguistic text processing techniques to capture the conceptual information in documents.
If searchers want to raise precision, then they have to narrow their queries. General Model of Information Retrieval The goal of information retrieval IR is to provide users with those documents that will satisfy their information need. The process of query modification based on user evaluation of the retrieved documents is known as relevance feedback [Lancaster and Warner 1993].
One of the goals of the Smart Boolean approach is to make use of the structural knowledge contained in the text surrogates, where the different fields represent contexts of useful information.
Query expansion based on clustered results. Similarly, uncertainty, confusion, and frustration are nearly universal experiences in the early stages of the search process, and they decrease as the search process progresses and feelings of being confident, satisfied, sure and relieved increase.
The findings by Kuhlthau et al.
In one of the projects, five separate Boolean queries for each of the 50 TREC routing topics and 25 of the TREC ad hoc topics were generated by 75 experienced online searchers.
National Institute of Standards and Technology, Gaithersburg, MD, pp.
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.
In: Korfhage R, Rasmussen EM and Willett P, Eds.