摘要
运用层次分析方法计算商品品牌、类型、价格及生产日期的权重值,通过加权求和的方法计算出消费者对商品的喜好程度并进行从大到小排列。结果表明,该算法在复杂程度上低于协同过滤算法。
Analytic hierarchy process is used to calculate the weighted values of brand,price,type,price and weight and production date and then range them from 10 to 0 according to consumer preferences.Study show that the algorithm is simpler than that of the collaborative filtering algorithm.
出处
《长春工业大学学报》
CAS
2016年第6期587-591,共5页
Journal of Changchun University of Technology
关键词
层次分析方法
个性化推荐
权重分析
analytic hierarchy process
personalized recommendation
weight analysis
