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胡文江，孙龙，高永兵
(内蒙古科技大学信息工程学院，内蒙古包头014010)
关键词:商品排序;权重;多级匹配
中图分类号:TP399 文献标识码:A
摘要:针对目前商品简单的排序结果无法满足用户需求的情况，提出了一种改进的基于商品属性权重的多级匹配算法． 算法根据用户对商品不同属性的重视程度，预先设置属性权重，然后再结合传统多级匹配算法对商品进行重新排序．理论分析和实验结果表明该算法能够满足不同用户的需求，在实际应用方面具有优越性．
An improved commodity sorting algorithm based on Taobao data
HU Wen-jiang，SUN Long，GAO Yong-bing
(Information Engineering School，Inner Mongolia University of Science and Technology，Baotou 014010，China)
Key words:commodity sorting;weights;multilevel matching
Abstract:In view of the problem that the present simple sorting results of the commodity fail to meet users＇demand，a kind of improved multilevel matching algorithm based on commodity attribute weights was proposed． According to the importance of different commodity attributes that users think of，the attribute weights were set in this algorithm in advance，and the commodity was sorted using this algorithm combined with the traditional multilevel matching algorithm． The theoretical research and the experimental results show that the improved algorithm can meet the needs of different users，and have an advantage in practical application．