一种上下文感知的E-commerce评级大数据赋权方法

doi:10.3969/j.issn.1007-2861.2015.04.021

Abstract

Abstract:

With the fast development of E-commerce, large amounts of quality rating data for commodities are generated online. By analyzing the rating data, users can evaluate the commodities’quality. However, due to the massiveness and diversity of the rating data, it is a challenge for users to evaluate the commodity quality quickly and accurately. To this end, a context-aware weighting approach for E-commerce ratings, context-aware weighting approach (CWA) is proposed. With CWA, a few important rating data are selected and most unimportant data dropped. Thus the commodity quality can be evaluated quickly and accurately. A series of experiments validate effectiveness of the proposed CWA.

Key words: big data, context, E-commerce, user rating, weighting

QI Lianyong1,2, DOU Wanchun1, ZHOU Yuming1. A context-aware weighting approach for big data of quality ratings in E-commerce[J]. Journal of Shanghai University（Natural Science Edition）, 2016, 22(1): 36-44.

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A context-aware weighting approach for big data of quality ratings in E-commerce

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