In this paper. we try to solve the personalized travel recommendation problem by exploiting the multi-modal data available from the real world social media. and a probabilistic graph model so called Sentiment-aware Multi-modal Topic Model (SMTM) is proposed to mine the latent semantics of the multi-modal data on the online travel website. Distinguished from previous approaches. https://www.popularfilm.blog/