An opinion search system for consumer products
文献类型:会议论文
作者 | Miao Qingliang; Li Qiudan![]() |
出版日期 | 2008 |
会议名称 | Proceedings of the International Joint Conference on Neural Networks |
会议日期 | 2008.6.1- 2008.6.6 |
会议地点 | Hong Kong, China |
关键词 | consumer products opinion search |
通讯作者 | Miao Qingliang |
英文摘要 | 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. |
会议录 | IJCNN2008
![]() |
源URL | [http://ir.ia.ac.cn/handle/173211/12467] ![]() |
专题 | 自动化研究所_09年以前成果 |
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]. 见:Proceedings of the International Joint Conference on Neural Networks. Hong Kong, China. 2008.6.1- 2008.6.6. |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。