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An opinion search system for consumer products
Miao Qingliang; Li Qiudan
Conference NameProceedings of the International Joint Conference on Neural Networks
Source PublicationIJCNN2008
Conference Date2008.6.1- 2008.6.6
Conference PlaceHong Kong, China
AbstractWith 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.
KeywordConsumer Products Opinion Search
Document Type会议论文
Corresponding AuthorMiao Qingliang
AffiliationThe State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190 China
Recommended Citation
GB/T 7714
Miao Qingliang,Li Qiudan. An opinion search system for consumer products[C],2008.
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