Document (#24863)

Author

Croft, W.B.

Title

Combining approaches to information retrieval

Source

Advances in information retrieval: Recent research from the Center for Intelligent Information Retrieval. Ed.: W.B. Croft

Imprint

Boston, MA : Kluwer Academic Publ.

Year

2000

Pages

S.1-36

Series

The Kluwer international series on information retrieval; 7

Abstract

The combination of different text representations and search strategies has become a standard technique for improving the effectiveness of information retrieval. Combination, for example, has been studied extensively in the TREC evaluations and is the basis of the "meta-search" engines used on the Web. This paper examines the development of this technique, including both experimental results and the retrieval models that have been proposed as formal frameworks for combination. We show that combining approaches for information retrieval can be modeled as combining the outputs of multiple classifiers based on one or more representations, and that this simple model can provide explanations for many of the experimental results. We also show that this view of combination is very similar to the inference net model, and that a new approach to retrieval based on language models supports combination and can be integrated with the inference net model

Theme

Verteilte bibliographische Datenbanken
Suchmaschinen

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4. Elovici, Y.; Shapira, Y.B.; Kantor, P.B.: ¬A decision theoretic approach to combining information filters : an analytical and empirical evaluation. (2006) 0.32

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5. Rajashekar, T.B.; Croft, W.B.: Combining automatic and manual index representations in probabilistic retrieval (1995) 0.32

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