1. A computer-implemented method for utilizing a user's predicted attributes, comprising: collecting a sample user behavior and a sample user attribute; training a model based on the sample user behavior and sample user attribute; predicting, using the model, a probability of a predicted user attribute based on the sample user behavior; fuzzily determining, using the model and the probability, the predicted user attribute based on a real user behavior; and utilizing the predicted user attribute to improve a user's experience.