| 基于用户协同过滤的图书推荐系统的设计与实现 |
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| 引用本文： | 罗丽霞. 基于用户协同过滤的图书推荐系统的设计与实现[J]. 新余高专学报, 2014, 0(6): 23-25 |
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| 作者姓名： | 罗丽霞 |
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| 作者单位： | 临汾职业技术学院 计算机系,山西 临汾,041000 |
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| 摘 要： | 协同过滤挖掘是利用具有相似喜好的读者或相似的物品来实现相关推荐的信息挖掘。通过深入挖掘图书馆书籍借阅中记录的信息，提出了一个基于用户协同过滤技术的图书推荐系统的设计与实现方案。实验结果表明该系统具有较为准确的预测功能，对图书推荐工作具有较好的参考价值。
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| 关 键 词： | 协同过滤 数据挖掘 图书推荐系统 |
Design and realization of books recommendation system based on the client collaborative filtering |
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| LUO Li-xia. Design and realization of books recommendation system based on the client collaborative filtering[J]. Journal of XinYu College, 2014, 0(6): 23-25 |
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| Authors: | LUO Li-xia |
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| Affiliation: | LUO Li-xia (Lingfen Vocational College of Technology, Lingfen 041000 China) |
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| Abstract: | Collaborative filtering mining is the information mining by taking advantage of readers with similar taste or similar objects to realize the recommendation.By deeply mining the information of borrowing record in the library , this paper puts forward a books recommendation system based on the client collaborative filtering .The experiment shows the system has accurate prediction function and has good reference value for the books recommendation . |
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| Keywords: | collaborative filtering data mining books recommendation system |
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