I'm developing a model that ranks entries based on cosine similarity to a query. Since it doesn't actually define a boundary between x and y I initially believed that such ranking models are not discriminative.

However, considering that they are essentially running a type of regression (ie returning a float cosine similarity), would they be considered a discriminative model?

Wikipedia: "Discriminative models, also referred to as conditional models, are a class of logistical models used for classification or regression."


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