NEURAL NETWORK MODEL TRAINING METHOD AND SYSTEM, AND PREDICTION METHOD AND SYSTEM

摘要

A training method and system for a neural network model comprising three levels of models, and a prediction method and system. The training method comprises: acquiring a training data record; generating a feature of a training sample according to attribute information of the training data record, and using a mark of the training data record as a mark of the training sample; and training a neural network model by means of a set of training samples, wherein in the process of training the neural network model, a feature information representation of each feature itself is respectively learned by means of a plurality of bottom-layer neural network models (112) included in a first-level model (110) of the neural network model, an interaction representation between corresponding input items is respectively learned by means of a plurality of middle models included in a second-level model (120) of the neural network model, a prediction result is learned at least based on the interaction representation output by the second-level model (120) by means of a third-level model (130) of the neural network model, and the neural network model is adjusted at least based on the difference between the prediction result and the mark.