Collaborative filtering recommendation algorithm based on user interest

In view of the problem with insufficient of the users interest, data sparsity in filter algorithm system, a collaborative filtering recommendation algorithm based on users interest was proposed. The algorithm introduced the user interest weights, established evaluation user-item matrix, through cluster analysis, makes similarity calculation and finally got the recommended results. The experimental results showed that the algorithm could effectively use the interest of user, and improve the quality of recommendation.