| 协同过滤推荐算法综述 |
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| 引用本文： | 黄正.协同过滤推荐算法综述[J].价值工程,2012,31(21):226-228. |
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| 作者姓名： | 黄正 |
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| 作者单位： | 华南理工大学计算机科学与工程学院,广州,510640 |
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| 摘 要： | 推荐系统是电子商务系统中最重要的技术之一,协同过滤推荐技术是目前应用最广泛和最成功的推荐技术。本文首先介绍了协同过滤的基本概念和原理,然后总结了协同过滤推荐算法中的关键问题和相关解决方案,最后介绍了协同过滤推荐算法需要进一步解决的问题和可能的发展方向。
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| 关 键 词： | 协同过滤 推荐算法 稀疏性 扩展性 |
Survey of Collaborative Filtering Recommedation Algorithm |
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| HUANG Zheng.Survey of Collaborative Filtering Recommedation Algorithm[J].Value Engineering,2012,31(21):226-228. |
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| Authors: | HUANG Zheng |
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| Institution: | HUANG Zheng(School of Computer Science and Engineering,South China University of Technology,Guangzhou 510640,China) |
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| Abstract: | Recommendation system is one of the most important technologies in E-commerce.Collaborative filtering is the most widely used and the most successful recommendation technology.This paper first introduces the basic concept and principle of collaborative filtering.And then,this paper summarizes the key problems and related solutions of the collaborative filtering recommendation algorithm.Finally,this paper introduces the collaborative filtering recommendation algorithm need to be further solved problems and possible development direction. |
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| Keywords: | collaborative filtering recommendation algorithm sparsity scalability |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
