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A Document-Based Information Retrieval Model Vector Space

Jia Yubo, Dong Xing, Yi Wang, Hongdan Fan

Open publisher page 4 citations

Abstract

Based on the study of traditional retrieval models, an improved model of vector space information retrieval has been proposed in the paper. The model has fully considered the effect of file structure on the importance of words. It can avoid the disadvantages of low recall and precision in the vector space model if the improved model is selected to calculate the similarity.

About this research paper

What this paper is about

Based on the study of traditional retrieval models, an improved model of vector space information retrieval has been proposed in the paper. The model has fully considered the effect of file structure on the importance of words. It can avoid the disadvantages of low recall and precision in the vector space model if the improved model is selected to calculate the similarity.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Based on the study of traditional retrieval models, an improved model of vector space information retrieval has been proposed in the paper. The model has fully considered the effect of file structure on the importance of words. It can avoid the disadvantages of low recall and precision in the vector space model if the improved model is selected to calculate the similarity.

Key concepts: Vector space model, Computer science, Information retrieval, Space (punctuation), Term Discrimination, Precision and recall, Similarity (geometry), Vector space

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