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An Improved Recommendation Algorithm for Micro-blog Network Advertisement

In this paper, a layered hybrid network advertisement recommendation algorithm which is based on the micro-blog platform is proposed and implemented. In this algorithm, two kinds of recommendation algorithms are combined in a stacked way, and on the basis of results of classification recommendation algorithm, recommendation is conducted by employing the algorithm based on user clustering. The experiment proves that the algorithm can solve the data sparsity problem and optimize the recommendation results.