一种改进的用户兴趣模型构建及应用 |
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引用本文: | 梁弼,;蒲国林,;肖丽利.一种改进的用户兴趣模型构建及应用[J].人天科学研究,2014(9):141-143. |
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作者姓名: | 梁弼 ;蒲国林 ;肖丽利 |
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作者单位: | [1]四川文理学院计算机学院,四川达州635000; [2]鹿鸣小学,四川巴中636600 |
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基金项目: | 2011年四川文理学院自然科学项目(2011Z005Y);2011年四川省教育厅一般项目(11ZB269) |
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摘 要: | 针对用户浏览的Web页面内容进行用户兴趣挖掘,并采用多元线性回归分析法进行用户浏览行为分析,得到用户兴趣特征矩阵,隐式地创建了用户兴趣描述文件,最后通过基于有效指数的K-M eans聚类算法得到了改进的用户兴趣模型。实际应用表明,该模型能有效地表达用户的兴趣偏好,提高了个性化服务质量。
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关 键 词: | Web挖掘 浏览内容 浏览行为 线性回归 聚类算法 |
Construction and Application of an Improved User Interest Model |
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Abstract: | This paper created with a characteristic matrix which is used to indicate user's interest ,can be established im-plicitly by mining the data from the website that users browsed and by the combination of the usage of multiple linear re-gression analysis user's browsing behavior .Then we get the improved user interest model that is based on the effective ex-ponent of K-Means clustering algorithm .Practical appliance indicates that the model can describe the preference of the us-er's interest effectively ,and improve the quality of individual service . |
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Keywords: | Web Mining Browsing Content Browsing Behavior Linear Regression Clustering Algorithm |
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