基于消费者在线评论的模糊智能产品推荐系统

Fuzzy Intelligent Recommendation System Based on Consumer Online Review

针对消费者的自然语言型模糊产品需求,通过搜索在线评论产品评论,在挖掘产品的显式和隐式多特征基础上,利用语义情感计算技术,对用户评论中的这些属性进行模糊化表示,并与所构建的产品推荐模糊规则结合,实现了基于在线评论的个性化产品模糊智能推荐以及系统平台的开发。通过实验计算验证了推荐方法和系统的有效性。

Many consumers only have fuzzy requirement for products, because they are not the experts of the domain who have much experience in products. The system mines explicit attributes and implicit products attributes from online review. Through using nature language sentiment analysis technology and building the fuzzy inference rules based on these products attributes, the system can understand the sentiment of the consumers＇ review which shows system＇s intelligence. The sentiment words of implicit product attributes are expressed by the fuzzy function which is the foundation of the sentiment calculation. Finally the experiment proves that our recommendation method is effective and can satisfy consumers＇ requirement.