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arXiv · 1004.3478

Learning Better Context Characterizations: An Intelligent Information Retrieval Approach

Carlos M. Lorenzetti·Ana G. Maguitman
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Abstract

This paper proposes an incremental method that can be used by an intelligent system to learn better descriptions of a thematic context. The method starts with a small number of terms selected from a simple description of the topic under analysis and uses this description as the initial search context. Using these terms, a set of queries are built and submitted to a search engine. New documents and terms are used to refine the learned vocabulary. Evaluations performed on a large number of topics indicate that the learned vocabulary is much more effective than the original one at the time of constructing queries to retrieve relevant material.

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Carlos M. Lorenzetti, Ana G. Maguitman. 2010-04-27. Learning Better Context Characterizations: An Intelligent Information Retrieval Approach. https://arxiv.org/abs/1004.3478

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