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一种个性化推荐改进混合算法 被引量：1

A Personalized Recommend Improved Hybrid Algorithm
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摘要 综合协同过滤算法和基于网络结构算法,提出全新的混合推荐算法,在对象和对象的相似性基础上考虑了项目之间的作用关系,得到最终改进后的混合算法MIX。通过对数据集的计算,排序值准确性大幅提高,推荐精度得到提高。 Integrating classical collaborative filtering algorithm and network-based personal recommendation algorithm,this paper puts forward a new hybrid recommendation algorithm.It considers action relationship between objects in project based on the similarity and gets an improved hybrid algorithm： the MIX.Through the calculation of data set,the accuracy of the order is greatly improved,also the recommend accuracy.
作者 何磊
机构地区 南昌航空大学信息工程学院
出处 《计算机与现代化》 2013年第7期62-64,共3页 Computer and Modernization
关键词 个性化推荐 协同过滤 相似性 personalized recommendation collaborative filtering similarity
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献16

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二级参考文献38

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计算机与现代化
2013年 第7期

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