计算机应用研究2018，Vol.35Issue(1)：39-42,47,5.DOI:10.3969/j.issn.1001-3695.2018.01.007
考虑价格的跨种类模糊序列模式挖掘算法
Cross-category fuzzy sequential pattern mining algorithm with consideration of price
摘要
Abstract
Consumers held different price preferences for products of various categories,but the traditional sequential pattern mining algorithms only considered the appearance orders of different items within a sequence.Therefore,the obtained sequential patterns didn't contain the important information,such as price and category attributes.In order to overcome the defects of traditional algorithms and embody more user behavior information in the sequential patterns,this paper proposed a cross-category fuzzy price sequential pattern mining algorithm.The experimental results indicate that,compared with traditional sequential pattern mining algorithms,the proposed algorithm can effectively solve the data sparsity problem and mine more personalized sequential patterns.关键词
序列模式/产品价格/价格偏好/模糊集/跨种类Key words
sequential pattern/product price/price preference/fuzzy set/cross-category分类
信息技术与安全科学引用本文复制引用
高增,郭均鹏..考虑价格的跨种类模糊序列模式挖掘算法[J].计算机应用研究,2018,35(1):39-42,47,5.基金项目
国家自然科学基金资助项目(71271147,71671121) （71271147,71671121）
