2011Automatic Documentation and Mathematical LinguisticsRequires access

Information retrieval models in the context of retrieval tasks

O. L. Golitsyna, N. V. Maksimov

Open publisher page 11 citations

Abstract

Information retrieval models are reviewed from the viewpoint of retrieval needs that cause different types of retrieval tasks. A generalized iterative query-response scheme of the retrieval process is presented. The characteristics of the system of retrieval mechanism models aimed at the support of retrieval tasks of different types, as well as at the development of the retrieval process using internal and external feedback, are stated. The use of models of multidimensional quantitative analysis based on coordinate indexing to perform external feedback is proposed.

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What this paper is about

Information retrieval models are reviewed from the viewpoint of retrieval needs that cause different types of retrieval tasks. A generalized iterative query-response scheme of the retrieval process is presented. The characteristics of the system of retrieval mechanism models aimed at the support of retrieval tasks of different types, as well as at the development of the retrieval process using internal and external feedback, are stated. The use of models of multidimensional quantitative analysis based on coordinate indexing to perform external feedback is proposed.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Information retrieval models are reviewed from the viewpoint of retrieval needs that cause different types of retrieval tasks. A generalized iterative query-response scheme of the retrieval process is presented. The characteristics of the system of retrieval mechanism models aimed at the support of retrieval tasks of different types, as well as at the development of the retrieval process using internal and external feedback, are stated. The use of models of multidimensional quantitative analysis based on coordinate indexing to perform external feedback is proposed.

Key concepts: Information retrieval, Context (archaeology), Computer science, Cognitive models of information retrieval, Adversarial information retrieval, Relevance (law), Human–computer information retrieval, Search engine

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