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Analysis of Personalized Information Mining and Recommendation Technology in E-Commerce based on Semantic Web Ontology

机译:基于语义网络本体的电子商务中个性化信息挖掘和推荐技术分析

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In this paper, we first introduce the hierarchical structure of semantic Web, the goal of semantic Web, and describe the definition of ontology and the properties of the elements such as concepts, relations, functions, axioms and instances. In this paper, the domain ontology is integrated into the Web mining and personalized recommendation process, which can make full use of the semantic knowledge in preprocessing, pattern discovery and online recommendation. The paper presents analysis of personalized information mining and recommendation technology in e-commerce based on Semantic Web Ontology.
机译:在本文中,我们首先介绍语义Web的层次结构,语义Web的目标,并描述了本体的定义以及概念,关系,功能,公理和实例的元素的属性。在本文中,域本体集成到网络挖掘和个性化推荐过程中,可以充分利用预处理,模式发现和在线推荐的语义知识。本文介绍了基于语义网络本体的电子商务个性化信息挖掘和推荐技术分析。

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