| 基于二分网络的推荐算法研究进展 |
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| 引用本文： | 周波,杨朝峰.基于二分网络的推荐算法研究进展[J].情报工程,2016,2(1):077-090. |
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| 作者姓名： | 周波 杨朝峰 |
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| 作者单位： | 中国科学技术信息研究所 北京 100038 |
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| 摘 要： | 全面总结和介绍基于二分网络的推荐算法研究现状,旨在介绍基于二分网络推荐算法的思想和各种优化方法,帮助读者了解这个研究领域.先介绍了二分网络推荐算法研究的背景和基于物质扩散和热传导的两种基本二分网络推荐算法,然后总结了8大类的优化算法,最后指出了当前还未研究的但还值得进一步研究的地方,并对大数据环境下基于二分网络的推荐算法进行了展望.
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| 关 键 词： | 二分网络 推荐算法 热传导 物质扩散 |
The Research Progress of Recommendation Algorithm Based on Bipartite Network |
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| Authors: | Zhou Bo and Yang Chaofeng |
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| Institution: | Institute of Scientific and Technical Information of China and Institute of Scientific and Technical Information of China |
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| Abstract: | this paper makes a comprehensive research of recommendation algorithm based on bipartite network aiming to make readers understand this field well. Firstly, it introduced the background of the bipartite network recommendation algorithm and two basic algorithm which is callledmaterial diffusion and heat conduction, secondly it summarizes the eight major method used to improve algorithm preformence, Finally it points out the field and problem which is worth studying while the current research has not been studied and discusse the futher direction of recommendation algorithm in the big data age. |
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| Keywords: | Bipartite network recommendation algorithm heat conduction material diffusion |
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