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An opinion search system for consumer products
Miao Qingliang; Li Qiudan
2008
会议名称Proceedings of the International Joint Conference on Neural Networks
会议录名称IJCNN2008
会议日期2008.6.1- 2008.6.6
会议地点Hong Kong, China
摘要With the rapid progress of e-commerce, many people like purchasing product on the e-commerce website, and giving their personal reviews to the product they purchased, so the number of customer reviews grows rapidly. Generally, a potential customer will browse product reviews before they purchase the product. However, retrieving opinions relevant to customer’s desire still remains challenging. To provide efficient opinion information for customers, we propose an opinion search system for consumer products, which utilizes data mining and information retrieval technology. A ranking mechanism taking temporal dimension into account and a method for results visualization are developed in the system. Experimental results on a real-world data set show the system is feasible and effective.
关键词Consumer Products Opinion Search
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12467
专题09年以前成果
通讯作者Miao Qingliang
作者单位The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190 China
推荐引用方式
GB/T 7714
Miao Qingliang,Li Qiudan. An opinion search system for consumer products[C],2008.
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