  In order to satisfy the consumers' increasing personalized service demand,
the Intelligent service has arisen. User service intention recognition is an
important challenge for intelligent service system to provide precise service.
It is difficult for the intelligent system to understand the semantics of user
demand which leads to poor recognition effect, because of the noise in user
requirement descriptions. Therefore, a hybrid neural network classification
model based on BiLSTM and CNN is proposed to recognize users service
intentions. The model can fuse the temporal semantics and spatial semantics of
the user descriptions. The experimental results show that our model achieves a
better effect compared with other models, reaching 0.94 on the F1 score.
