Abstract: An apparatus and method for training a search engine generates synthetic search arguments and target information that are provided to the search engine as training. A search argument simulator ingests product information and historical interaction data, determines relevant descriptors, creates compound descriptors, and creates candidate search arguments. A trainer checks the candidates against historical search arguments, identifies similar search arguments and determines likely search arguments that are used for training. An evaluator monitors search engine responses and triggers retraining of the search engine.