USER BEHAVIOR PREDICTION METHOD AND APPARATUS, AND BEHAVIOR PREDICTION MODEL TRAINING METHOD AND APPARATUS

摘要

This application provides a user behavior prediction method and apparatus and a behavior prediction model training method and apparatus, and belongs to the big data processing field and the artificial intelligence field. According to the user behavior prediction method, after obtaining behavior prediction information including a plurality of pieces of characteristic data, a first contribution value of each piece of characteristic data for a specified behavior may be obtained, and every N pieces of characteristic data in the plurality of pieces of characteristic data may be processed by using one corresponding characteristic interaction model, to obtain a second contribution value of the every N pieces of characteristic data for the specified behavior. Finally, an execution probability of executing the specified behavior by a user may be determined based on the obtained first contribution value and the obtained second contribution value, to predict a user behavior. In the method provided in this application, interaction impact of the plurality of pieces of characteristic data on the specified behavior is considered during behavior prediction. Therefore, behavior prediction accuracy is effectively improved.