Document (#21270)

Author
Rorvig, M.
Title
Scaled structure in visualized TREC data and query feedback
Source
Information processing and management. 34(1998) nos.2/3, S.151-160
Year
1998
Abstract
Extends work done earlier which explored scaled and visualised treatments of TREC Topic-Document datasets. In the use of the query feedback techniques in retrieval, query surrogate documents chosen from within dense inter-document structures appearing in scaled and visualised TREC topic document datasets raise the number of relevant documents subsequently retrieved by 23-46% depending on the method of calculation. Use of documents as query surrogates which were chosen from the periphery of such dense inter-document structures did not differ significantly from the results retrievd by use of the topic specification document itself, submitted as a query. Some anomalies appear in one of the datasets from which a specific pattern is suggested for further exploration. Retrieval performance of information retrieval systems on datasets for which relevant documents are located primarily outside dense inter-document structures was predicted to be poor in Rorvig and Fitzpatrick. This prediction was confirmed

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