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When you have some historical data on good/bad matches (and "okay" features to describe these matches), you can try a Siamese Neural Network. This type of model is a "few shot" model, meaning that it is designed to work with a relatively small ammount of (training) data and potentially noisy features. Essentially you fit a model to pairs ...


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