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A survey in traditional information retrieval models

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Open access
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Date
2008
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Conference Paper

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Abstract

As a matter of fact, many so-called semantic search algorithms are derived friom the traditional index-term-based search models. In this paper, we survey the traditional information retrieval models by categorizing them into three main classes and eleven subclasses, and analyse their benefits and issues of them.

Citation
Dong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2008. A survey in traditional information retrieval models, in Chang, E. and Hussain, F. (ed), Second International Conference on Digital Ecosystems and Technology, Feb 26 2008, pp. 397-402. Phitsanulok, Thailand: Institute of Electrical and Electronics Engineers (IEEE).
Source Title
Proceedings of the 2nd international conference on digital ecosystems and technologies (DEST 2008)
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Curtin Business School
School of Economics and Finance
School
Centre for Extended Enterprises and Business Intelligence
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