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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。
According to the natural language fuzzy product demand of consumers, by searching online comment product reviews, based on the explicit and implicit multi-feature of mining products, these attributes are fuzzified using semantic emotion computing technology, And combined with the proposed product recommendation fuzzy rules, the fuzzy recommendation of personalized products and the development of system platform based on online reviews were realized. The effectiveness of the proposed method and system is verified through experimental calculations.