Product Knowledge Map Construction Based on the E-commerce Data
Shengchun Ding1,2(),Linlin Hou1,Ying Wang1
1School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China 2Jiangsu Collaborative Innovation Center of Social Safety Science and Technology, Nanjing 210094, China
[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.
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Shengchun Ding,Linlin Hou,Ying Wang. Product Knowledge Map Construction Based on the E-commerce Data. Data Analysis and Knowledge Discovery, DOI：10.11925/infotech.2096-3467.2018.0609.
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