| 基于页面的用户偏好协同过滤算法研究 |
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| 引用本文： | 何智敏.基于页面的用户偏好协同过滤算法研究[J].贵阳金筑大学学报,2012(3):22-24. |
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| 作者姓名： | 何智敏 |
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| 作者单位： | 贵阳学院人事处,贵州贵阳550005 |
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| 摘 要： | 本文针对传统的协同过滤推荐算法存在的影响推荐质量的数据稀疏性问题和实用准确性问题,设计了一种基于页面的用户偏好协同过滤算法,并通过实验验证了该算法在数据稀疏性等方面均优于传统算法。
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| 关 键 词： | 电子商务 协同过滤 推荐系统 |
Based on the page the user preference research on collaborative filtering algorithin |
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| He zhimin.Based on the page the user preference research on collaborative filtering algorithin[J].Journal of Jinzhu University of Guiyang,2012(3):22-24. |
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| Authors: | He zhimin |
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| Institution: | He zhimin ( Personnel departmlnt of Guiyang Vniversity Guizhou Guiyang 550005 ) |
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| Abstract: | According to the traditional collaborative filtering algorithms existing recommendation quality data sparsity problem and practical problem of accuracy, based on the design of a page to the user preference collaborative filtering algorithm, and the experimental verification of the algorithm in data sparseness is better than the traditional algorithm. |
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| Keywords: | E - business Collaborative Filtering recommending system |
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