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Research on User Model Construction for Individualized Knowledge Recommendation

机译:个性化知识推荐用户模型构建研究

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Individualized knowledge recommendation service has been widely applied and generalized in the big data environment, of which the foundation and core lies in the construction of user model. In this context, this paper emphatically studies the vector space model (VSM) representation-based user model construction by sorting out the concept and method of user model. The modeling process is also analyzed in detail from such aspects as user data classification, user characteristics model representation and similarity calculation, to conclude a user modeling-based individualized knowledge recommendation process with digital library as an example.
机译:个性化知识推荐服务已经在大数据环境中得到了广泛的应用和推广,其基础和核心在于用户模型的构建。在此背景下,本文通过梳理用户模型的概念和方法,着重研究了基于矢量空间模型(VSM)表示的用户模型的构建。还从用户数据分类,用户特征模型表示和相似度计算等方面对建模过程进行了详细分析,以数字图书馆为例,总结了基于用户建模的个性化知识推荐过程。

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