| 基于Web投票机制的免疫协同过滤推荐技术研究 |
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| 引用本文： | 王志军,岳训,付冬菊,苗良.基于Web投票机制的免疫协同过滤推荐技术研究[J].计算机与农业,2010(1):11-14. |
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| 作者姓名： | 王志军 岳训 付冬菊 苗良 |
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| 作者单位： | [1]山东农业大学信息科学与工程学院,山东泰安271018 [2]山东省泰安市工商局,山东泰安271000 |
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| 摘 要： | 针对投票机制的个性化推荐系统，利用人工免疫网络模型的动态适应性、自组织性等特性，通过构建用户的兴趣模型来设计用户投票行为的抗体（抗原）编码及交叉克隆算子，并通过人工免疫网络模型来产生高效的推荐结果。
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| 关 键 词： | 推荐系统 协同过滤 人工免疫网络模型 |
Research on Rating-based Collaborative Filtering Recommendation Technology Inspired Immune System |
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| Wang Zhijun,Yue Xun,Fu Dongju,Miao Liang.Research on Rating-based Collaborative Filtering Recommendation Technology Inspired Immune System[J].Computer and Agriculture,2010(1):11-14. |
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| Authors: | Wang Zhijun Yue Xun Fu Dongju Miao Liang |
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| Institution: | 1. College of Information Sciences ＆ Engineering, Shandong Agricultural University, Taian 271018, China; 2. Industry ＆ Commerce Bureau of Shandong, Taian 271000, China) |
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| Abstract: | A novel technology inspiring artificial immune network model was applied to the task of rating-based recommendation technology by collaborative filtering （CF）.The concept of user＇s multiple interests model was introduced, users who have voted represents the set of antigens and antibody, a top-N list is generated as a recommendation to the active user by artificial immune network model. |
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| Keywords: | recommendation systems collaborative filtering artificial immune network |
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