Abstract:Abstract. The rapid development of the Internet brings the convenience but also results in "information trek" problem, which is solved by personalized recommendation algorithms. Traditional collaborative filtering algorithms face data sparsity problem. In order to solve those problems, this paper proposes a dynamic adaptive collaborative filtering recommendation algorithm based on user attributes. The algorithm first uses the item properties to build the user preference matrix, and then establishes the user ra… Show more
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