[1]蒋雯.基于概念分层的估值填充推荐算法[J].福建工程学院学报,2016,14(03):302-306.[doi:10.3969/j.issn.1672-4348.2016.03.017]
　Jiang Wen.A recommended algorithm of valuation filling based on concept hierarchy[J].Journal of FuJian University of Technology,2016,14(03):302-306.[doi:10.3969/j.issn.1672-4348.2016.03.017]
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基于概念分层的估值填充推荐算法()
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《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第14卷
期数:
2016年03期
页码:
302-306
栏目:
出版日期:
2016-06-25

文章信息/Info

Title:
A recommended algorithm of valuation filling based on concept hierarchy
作者:
蒋雯
福州理工学院管理工程系
Author(s):
Jiang Wen
Management Engineering Department, Fuzhou Polytechnic College
关键词:
协同过滤;  项目推荐;  概念分层;  估值填充
Keywords:
collaborative filtering;  projects recommendation;  concept hierarchy;  valuation filling
分类号:
TB23
DOI:
10.3969/j.issn.1672-4348.2016.03.017
文献标志码:
A
摘要:
为解决传统协同过滤算法中存在的数据稀疏性问题，在原有估值公式的基础上对传统的协同过滤算法进行改进，提出一种基于概念分层的估值填充推荐的改进算法，并对此算法进行仿真实验。结果表明，该算法在稀疏数据集上有着良好的推荐效果。
Abstract:
To deal with data sparseness problems in the traditional collaborative filtering algorithm, a new recommendation algorithm of valuation filling based on concept hierarchy was proposed through improving the traditional collaborative filtering algorithm. Simulation experiments of the new recommendation algorithm were conducted. The results indicate that the proposed algorithm has favourable recommendation effect in sparse data sets and can improve the quality of recommendations.

参考文献/References:

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更新日期/Last Update: 2016-06-25