USER PORTRAIT REPRESENTATION LEARNING SYSTEM AND METHOD BASED ON DEEP NEURAL NETWORK

摘要

A user portrait representation learning system based on a deep neural network, comprising: an intention recognition module (102) used for recognizing a use function of a user according to a received statement; a feature vector extraction module (103) used for modeling the context relation of a text or the relationship between entities by means of deep learning, and then extracting feature information of the user by means of text information input by the user; and a user portrait learning module (104) used for continually updating a user portrait by means of iterative training of the feature information and supervisory information. By means of learning a user portrait in a deep learning mode, the features of the user portrait can be abstractly extracted, the feature representation is more concise and accurate, and a deep level of implicit information can be extracted.