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New Technology of Library and Information Service  2014, Vol. 30 Issue (4): 65-70    DOI: 10.11925/infotech.1003-3513.2014.04.10
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Mining Customer Focus Features from Product Reviews Oriented Supply Chain
Hao Mei, Wang Daoping
Dongling School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
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[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.

Key wordsProduct evaluation conception tree      Customer focus feature      Association rule      Data mining      Supply chain     
Received: 28 August 2013      Published: 19 May 2014
:  TP391  

Cite this article:

Hao Mei, Wang Daoping. Mining Customer Focus Features from Product Reviews Oriented Supply Chain. New Technology of Library and Information Service, 2014, 30(4): 65-70.

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