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The paper deals with a critical review of SVM-based ranking models which are used to solve a certain set of machine learning problems. A short description, advantages, and disadvantages are provided for each model, as well as general comparison of them. A problem connected with getting a training data for these models is also raised. Applications of the models are given, as well as future research directions.
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Botian et al. (2014) studied this question.
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