An opinion search system for consumer products
An opinion search system for consumer products
复制标题
DOI：
10.1109/ijcnn.2008.4633985
复制
发表时间：
2008-06
期刊：
影响因子：
--
通讯作者：
Qingliang Miao;Qiudan Li
中科院分区：
文献类型：
--
作者：
Qingliang Miao;Qiudan Li
随着电子商务的快速发展，很多人喜欢在电子商务网站上购买产品，并对购买的产品进行个人评论，因此客户评论的数量迅速增长。通常，潜在客户会在购买产品之前浏览产品评论。然而，检索与客户意愿相关的意见仍然具有挑战性。为了向消费者提供高效的意见信息，我们提出了一种利用数据挖掘和信息检索技术的消费品意见搜索系统。该系统提出了一种考虑时间维度的排序机制和结果可视化方法。在真实数据集上的实验结果表明，该系统是可行和有效的。
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 customerpsilas 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.