| 个性化推荐攻击检测模型研究 |
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| 引用本文： | 董斯维,郭斌,余力.个性化推荐攻击检测模型研究[J].农业网络信息,2006(12):111-112. |
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| 作者姓名： | 董斯维 郭斌 余力 |
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| 作者单位： | 中国人民大学,信息学院,北京,100872 |
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| 摘 要： | 协同过滤是最核心、最典型的个性化推荐技术，广泛应用于电子商务，但其推荐结果对用户偏好信息的敏感性使得推荐系统易受到人为攻击，电子商务推荐安全成为个性化推荐能否成功应用的关键。作者先简要介绍了个性化推荐及推荐攻击的基本概念；而后分析比较了各种攻击检测模型。
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| 关 键 词： | 协同过滤 个性化推荐 攻击检测模型 电子商务安全 |
| 文章编号： | 1672-6251(2006)12-0111-02 |
| 修稿时间： | 2006年8月22日 |
Research about personalized recommendation attack detect models |
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| DONG Si-wei,GUO Bin,YU Li.Research about personalized recommendation attack detect models[J].Agriculture Network Information,2006(12):111-112. |
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| Authors: | DONG Si-wei GUO Bin YU Li |
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| Abstract: | Collaborative filtering which is used widely is vital central technology of personalized recommendation,but the recommended result is so sensitive to user perfect information that the recommended system has significant vulnerabilities.E-business recommended secure is the key of whether the personalized recommendation can success.Concepts of the personalized recommend system and recommended attacks were introduced first.Then the author analyzed analysis and compared the attack detect models. |
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| Keywords: | Collaborative filtering Recommended system Attack detect models |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
