An Intelligent Commodity Information Retrieval Based on Semantic Similarity and Multi-attribute Decision Method
一种基于语义相似度和多属性决策方法的商品信息智能检索模型*

In this paper,a commodity information retrieval model is presented,which integrates semantic retrieval and multi-attribute decision method.Firstly,semantic similarity is computed by constructing semantic vector-space in order to realize the semantic consistency between retrieved result and customer's query.Besides,TOPSIS method is also utilized to construct the comparison mechanism of commodity by calculating the utility value of each retrieved commodity.Finally,the experiment is conducted in terms of accur...