摘要
针对推荐算法忽视供应商偏好,引入Pareto最优的概念,提出一种改进的双边推荐算法.首先比对消费者要求和供应商属性,得出消费者对各个供应商的满意度;其次比对供应商要求和消费者信用属性,得到供应商对潜在消费者的满意度;最后消费者的满意值作为G-S算法的输入项,得到消费者、供应商的匹配结果.仿真结果表明,算法提高双方的满意度.
The absence of supplies＇ interest is existed in recommendation algorithm, to address the issue in this paper Pareto Optimality is imroduced and a modified two-sided algorithm is proposed. Firstly, it compares consumers＇ demand and suppliers＇ properties, then infers the consumers＇ satisfaetion. Secondly, it compares suppliers＇ demand and consumers＇ credit, then make sure the supplies＇ satisfaction. The improved the G-S algorithm for consumers and sellers provides appropriate match according the consumers＇ satisfy. Experiments show that the algorithm has high satisfy.
出处
《微电子学与计算机》
CSCD
北大核心
2016年第4期117-120,124,共5页
Microelectronics & Computer
基金
国家自然科学基金(61262074)
广西可信软件重点实验室开放课题(kx201101)
广西高校优秀人才资助计划(桂教人201065)
广西自然科学回国基金(2012GXNSFCA053009)
广西信息科学实验中心项目资助
桂林电子科技大学计算机软件创新团队资助
