We propose a topic model based approach to discover user preference distribution and doctor feature distribution.

We propose an emotion-aware approach to identify emotional offset in user reviews via sentiment analysis.

We incorporate topic model and emotional offset into the matrix factorization model.

The experimental results show that the proposed model provides a high-performance healthcare recommendation.