Topic model can be used to learn the latent topic distribution. A new collaborative filtering algorithm based on dual collaborative topic regression to learn the user's latent topic distribution and the item's latent topic distribution for recommendation is proposed. On a large real-world dataset

the experiment results illustrate that the approach achieves a better performance than the state-of-the art collaborative filtering methods.