An opinion search system for consumer products

CASIA OpenIR > 09年以前成果

	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
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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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