基于多场景融合的分布式推荐模型

被引：3

作者：

张佳琳

机构：

[1] 哈尔滨商业大学研究生院

来源：

四川大学学报(工程科学版) | 2015年 / 47卷 / 03期

基金：

黑龙江省自然科学基金;

关键词：

场景; 分布式推荐; 信息融合; 特征生成; 推荐算法;

D O I：

暂无

中图分类号：

TP391.3 [检索机];

学科分类号：

摘要：

个性化推荐系统中普遍存在着信息共享程度低、资源复用不足等问题。针对这些问题,提出基于多场景融合的分布式推荐模型,给出了该模型的组成单元和运行流程,以及对应的场景数据结构。该模型采用分布式的双向刻画的方法,通过多场景融合算法,进行客户特征(需求)与服务场景的互生成,并最终生成推荐列表。仿真实验证明,该模型较之独立节点的推荐模型,在消费娱乐领域,具有较高的客户覆盖度、推荐精度,且占用系统资源较少,具有较高的性价比。

引用

页码：108 / 113

页数：6

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