刘忠宝, 赵文娟. 面向大规模信息的用户分类方法研究[J]. 微电子学与计算机, 2013, 30(6): 38-42.
引用本文: 刘忠宝, 赵文娟. 面向大规模信息的用户分类方法研究[J]. 微电子学与计算机, 2013, 30(6): 38-42.
LIU Zhong-bao, ZHAO Wen-juan. Research on User Classification Method Based on Large-scale Information[J]. Microelectronics & Computer, 2013, 30(6): 38-42.
Citation: LIU Zhong-bao, ZHAO Wen-juan. Research on User Classification Method Based on Large-scale Information[J]. Microelectronics & Computer, 2013, 30(6): 38-42.

面向大规模信息的用户分类方法研究

Research on User Classification Method Based on Large-scale Information

  • 摘要: 信息主动推送是个性化搜索引擎的发展方向.如何通过访问记录获取用户兴趣以及如何将兴趣相同或相近的用户归为一类,是个性化信息主动推送技术面临的主要问题.支持向量机是一种广泛使用的分类方法,但在互联网环境下,其面临大规模数据分类和隐私泄露问题.为了进一步提高分类效率,提出面向大规模信息的用户分类方法.该方法不仅解决了大规模用户分类问题,还保证分类过程中用户信息安全.

     

    Abstract: Information active push is the trend of personalized search engine.How to get user interests and classify the users of the same interest are important.Support Vector Machine(SVM) is widely used,while it faces some challenges,including classification of large-scale datasets and information leakage.In order to solve the above problems,User Classification Method based on Large-scale Information(UCM) is proposed in this paper,it can effectively solve the large-scale information classification and preserve user information during classification.

     

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