| 结合信任和项目的抗攻击协同过滤算法 |
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| 引用本文： | 高旻,江峰,吴中福.结合信任和项目的抗攻击协同过滤算法[J].重庆大学学报(自然科学版),2011,34(5):135-142. |
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| 作者姓名： | 高旻 江峰 吴中福 |
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| 作者单位： | 重庆大学软件学院;重庆广播电视大学;重庆大学计算机学院; |
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| 基金项目： | 国家科技支撑计划(2007BAF23B0302); 国家自然科学基金资助项目(61075053); 重庆市自然科学基金(CSTC,2010BB224); 高等教育出版社数字出版支撑环境项目(基于本体、语义和语用的智能化教育资源应用平台); 重庆市教育委员会科学技术研究项目(KJ101602) |
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| 摘 要： | 为提高基于项目协同过滤推荐方法的抗评分攻击能力,提出结合用户信任等级和项目进行资源协同过滤算法。提出根据用户兴趣相关性、评分相似性和评分相关性构建用户关联图,然后提出用户信任等级计算模型,并将用户信任等级值作为用户的权重结合到经典协同过滤推荐算法Slope One的项目差异性的计算中,形成基于用户信任等级的协同过滤方法。实验数据表明新算法在不影响推荐的预测准确性的基础上,比传统的过滤推荐算法具有更好的抗攻击能力。
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| 关 键 词： | 协同计算 算法 推荐系统 信任 个性化 |
| 收稿时间： | 2010/12/5 0:00:00 |
An anti-shilling attacks collaborative filtering algorithm based on user trust ranks and items |
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| GAO Min,JIANG Feng and WU Zhong-fu.An anti-shilling attacks collaborative filtering algorithm based on user trust ranks and items[J].Journal of Chongqing University(Natural Science Edition),2011,34(5):135-142. |
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| Authors: | GAO Min JIANG Feng and WU Zhong-fu |
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| Institution: | GAO Min1a,JIANG Feng2,WU Zhong-fu1b(1a.College of Software Engineering,1b.College of Computer Science,Chongqing University,Chongqing,400044,P.R.China,2.Chongqing Radio and TV University,400052,P.R.China) |
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| Abstract: | A collaborative filtering algorithm based on user trust ranks and items is proposed to improve the anti-shilling attacks ability.Firstly,a user relationship graph is built based on user interest similarities,rating similarities,and rating correlations.Secondly,using the relationship graph,a userrank model is proposed to calculate user trust ranks.Thirdly,the userrank values are taken as users' weights to incorporated into the typical item-based Slope One algorithm.Finally,we experimentally evaluate our appr... |
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| Keywords: | collaborative computing algorithms recommendation systems trust personalization |
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