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Research on artist intelligent recommendation method based on mapping knowledge domains: Data mining based on artist association analysis

机译:基于映射知识域的艺术家智能推荐方法研究:基于艺术家关联分析的数据挖掘

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For the theory gap in artists relationship network and combination recommendation, this paper proposes to use mapping knowledge domains to show artists relationship network and conducts an intelligent recommendation for an artist combination. The scheme uses the correlation analysis and principal component analysis method to construct the multi-dimensional mapping knowledge domains. Then the collaborative recommendation algorithm is used to construct the artist's intelligent recommendation system. This paper takes the actor Hu Ge as the center of the case. The case shows that the combination recommendation based on mapping knowledge domains has a good practical effect.
机译:对于艺术家关系网络和联合建议的理论差距,本文建议使用映射知识域来显示艺术家关系网络,并为艺术家组合进行智能建议。该方案使用相关分析和主成分分析方法来构造多维映射知识域。然后,协作推荐算法用于构建艺术家的智能推荐系统。本文将演员Hu GE作为案例的中心。案例表明,基于映射知识域的组合推荐具有良好的实际效果。

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