A study of similarity measures through the paradigm of measurement theory: the classic case

@article{Coletti2019ASO,
  title={A study of similarity measures through the paradigm of measurement theory: the classic case},
  author={Giulianella Coletti and Bernadette Bouchon-Meunier},
  journal={Soft Computing},
  year={2019},
  pages={1-19}
}
Similarity measures are used in various tasks dealing with the management of data or information, such as decision-making, case-based reasoning, cased-based information retrieval, recommendation systems and user profile analysis, to cite but a few. The paper aims at providing information on similarity measures that can help in choosing “a priori” one of them on the basis of the semantics behind this choice. To this end, we study similarity measures from the point of view of the ranking relation… 
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11 Citations
Background Citations
3
Methods Citations
2
Results Citations
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11 Citations

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Citation Type

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The retrieval efficiency of the proposed case retrieval algorithm outperforms typical approaches and enables rapid case retrieval with promising accuracy by comparing a fewer number of past cases.
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Tversky’s ratio model is advocated as an appropriate basis for computational approaches to semantic similarity, that is, the comparison of objects such as images in a semantically meaningful way.
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References

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