摘要
针对网络在线产品评论,利用Apriori算法从在线产品评论中挖掘出产品的热门属性,提取情感词汇并确定词汇和属性的搭配关系;对情感词汇进行模糊化表示,通过构建产品属性与推荐度的模糊推理规则,实现个性化产品推荐计算.以京东商城网站手机产品评论为例进行了实际计算,结果表明,该方法较传统的按销量排序方法更具个性化和针对性.
A number of products attributes were exited from the online customer reviews about the products. These attributes could be extracted from the reviews using the Apriori algorithm. Through establishing fuzzy rules of the product attributes, the value of the personalized product recommendations could be calculated. Using the reviews of Jingdong online shop, the calculation result showed that our method was more personalized than traditional method.
出处
《郑州大学学报（理学版）》
CAS
北大核心
2011年第2期48-51,共4页
Journal of Zhengzhou University:Natural Science Edition
基金
国家自然科学基金面上资助项目
编号61072128
关键词
在线评论
产品推荐
情感计算
模糊推理
online review
product recommendation
sentiment calculation
fuzzy inference
