With the rapid growth of Internet scale

the problem of information overload is getting worse and the recommendation system came into being.In this paper

we take two classical recommendation algorithms--content-based recommendation and collaborative filtering recommendation methods as the basic points to expand outwards

and systematically elaborate the core model and general calculation of the recommendation algorithm.Then

we make use of the standard data set of Movie Lens to implement the simulation recommendation for the Movie system.Finally

the practical evaluation and prospect of the two algorithms are given based on the system evaluation results.