Study on the combination recommendation method of adaptive collaborative filtering and clustering

In view of the question — the current collaborative filtering technology which exists in the electronic commerce recommendation system application, this article has proposed a combination recommendation method based on the collaborative filtering and the clustering, and it has solved the algorithm extendibility problem and the data sparsity problem in the collaborative filtering recommendation to a certain extent. Meantime, it has described overall frame structure in the combination recommendation method, and explained the process of module realization and the detailed design of the algorithm in the combination recommendation method with emphasis.