%A Hao Mei, Wang Daoping %T Mining Customer Focus Features from Product Reviews Oriented Supply Chain %0 Journal Article %D 2014 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2014.04.10 %P 65-70 %V 30 %N 4 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3887.shtml} %8 2014-04-25 %X

[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.