| 一种基于自组织映射神经网络的Web页面个性化推荐模型 |
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| 引用本文： | 宋庆伟,向阳.一种基于自组织映射神经网络的Web页面个性化推荐模型[J].计算机应用与软件,2007,24(2):19-22. |
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| 作者姓名： | 宋庆伟 向阳 |
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| 作者单位： | 同济大学电信学院 上海200092 |
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| 摘 要： | 人工神经网络(ANN)为Web挖掘技术提供了一种新思路.针对传统聚类方法面对大量动态增长的Web日志数据健壮性和灵活性不够的缺点,提出了一种基于自组织映射神经网络的用户信息聚类模型,最后给出的实例证明在此基础上的Web页面的个性化推荐算法能够有效地进行Web页面个性化推荐.
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| 关 键 词： | 人工神经网络 自组织神经网络 Web挖掘 聚类 自组织 映射神经网络 个性化 推荐模型 BASED MODEL RECOMMENDATION 推荐算法 聚类模型 用户信息 活性 健壮性 日志数据 动态增长 聚类方法 挖掘技术 工神经网络 |
| 修稿时间： | 2006-03-15 |
AN INDIVIDUALIZED WEB PAGE RECOMMENDATION MODEL BASED ON SELF-ORGANIZING MAP |
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| Song Qingwei,Xiang Yang.AN INDIVIDUALIZED WEB PAGE RECOMMENDATION MODEL BASED ON SELF-ORGANIZING MAP[J].Computer Applications and Software,2007,24(2):19-22. |
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| Authors: | Song Qingwei Xiang Yang |
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| Affiliation: | College of Electronic and Information, Tongji University, Shanghai 200092, China |
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| Abstract: | Artificial neural network,also known as ANN,has provided a new approach for Web mining.Because traditional clustering method does not perform well in terms of robustness and flexibility when large amount of dynamic Web log data is input,a model which is based on self-organizing map(SOM),is introduced to cluster visitor's information.And according to the results of experiments,the individualized Web page recommendation service based on that model can work effectively. |
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| Keywords: | Artificial neural network Self-organizing map Web mining Cluster |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
