【摘要】 【目的】引入产品画像概念,解决现有电商平台上对产品静态信息和动态评论关联上的不足。【方法】将知识图谱作为挖掘、组织、存储、展示产品信息的方法,引入到产品画像的构建研究中,提出基于知识图谱的产品画像构建方法。【结果】通过设计三项实验生成手机知识图谱数据层,其中命名实体抽取实验的F值达到77.52%,评价对象–评价词抽取实验的F值达到76.04%,同义词发现实验的F值为63.16%。其实验结果验证了所提方法的有效性。【局限】产品画像构建中的关系抽取限定了关系类别,使得画像中的关系数量有限;对产品市场流通维度的分析有限。【结论】本研究能够有效帮助购物平台改善产品对比和产品搜索等机制,为用户提供更好的产品服务。更多还原

【Abstract】 [Objective] To solve the deficiencies of the static information and dynamic comments on the existing e-commerce platform, the concept of product profile was introduced. [Methods] As a method of mining, organizing, storing and displaying product information, knowledge map is introduced into the research of product profile construction, and a product profile construction method based on knowledge map is proposed. [Results] Three experiments were designed to generate the mobile phone knowledge map data layer, in which the F value of the named entity extraction experiment reached 77.52%, the F value of the evaluation object-evaluation word extraction experiment reached 76.04%, and the F value of the synonym discovery experiment was 63.16%. The experimental results verified the effectiveness of the proposed method. [Limitations] The relationship extraction in product profile construction limits the relationship category, so that the number of relationships in profile is limited; the analysis of the product market circulation dimensions is limited. [Conclusions] This study has effectively helped the shopping platform to improve product comparisons and product search mechanisms to provide users with better products and services.更多还原