[Objective] This paper proposes a customer focus feature mining method oriented supply chain. [Methods] The association rule mining is improved by adding data preprocessing, which includes product evaluation conception tree, product evaluation feature database and MA_Apriori algorithm. Based on the data of tablet PC of Jingdong Mall, the data experiment mines the customer focus features in Weka. [Results] The experiments show that the recall radio of new method is 90.5%, but the association rule method is 71.4%. In addition, it can get the hierarchical and standardized products features. [Limitations] Considering the accuracy of word segmentation, the user dictionary of segmentation system needs to be replenished by adding the product professional vocabulary. [Conclusions] This paper can help each enterprise select the product evaluation conception hierarchies flexibly, then improve the qualities of products and service.
郝玫, 王道平. 面向供应链的产品评论中客户关注特征挖掘方法研究[J]. 现代图书情报技术, 2014, 30(4): 65-70.
Hao Mei, Wang Daoping. Mining Customer Focus Features from Product Reviews Oriented Supply Chain. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2014.04.10.
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