| 基于文献引证关系的数字图书馆协同推荐系统 |
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| 引用本文： | 严海兵,刘昊.基于文献引证关系的数字图书馆协同推荐系统[J].铁道师院学报,2014(3):75-80. |
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| 作者姓名： | 严海兵 刘昊 |
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| 作者单位： | 苏州科技学院图书馆,江苏苏州215009 |
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| 摘 要： | 协同过滤算法应用于数字图书馆推荐系统有诸多优点,然而在系统启动初期存在最初评价问题和数据稀疏问题。针对这些情况,提出引入文献引证关系于数字图书馆协同过滤算法。文献引证关系能够较好的反映文献作者对参考文献、引证文献的兴趣评价。基于文献引证关系的数字图书馆协同过滤算法引入作者的文献评价信息,解决了协同过滤算法固有的问题。实验结果表明,该算法能有效地提高系统的推荐质量。
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| 关 键 词： | 推荐系统 协同过滤 数字图书馆 推荐算法 |
Digital library collaborative filtering recommender system citation relations |
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| YAN Haibing,LIU Hao.Digital library collaborative filtering recommender system citation relations[J].Journal of Suzhou Railway Teachers College(Natural Science Edition),2014(3):75-80. |
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| Authors: | YAN Haibing LIU Hao |
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| Institution: | (Library, SUST, Suzhou 215009, China) |
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| Abstract: | Collaborative filtering algorithm in digital library recommender system has many advantages, but in the initial system startup, there were two major problems, including the initial evaluation and data sparsity. In view of this, we propose to introduce the literature citation relations to the digital library collaborative filtering algorithm. The relations can represent the literature evaluation of authors interested in reference of the literature and citation of the literature. Digital library collaborative filtering recommender system based on citation relations solves the inherent problems of collaborative filtering algorithm by introducing evaluations of the authors. The experimental results show that the algorithm can effectively improve the quality of the recommender system. |
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| Keywords: | recommender system collaborative filtering digital library recommender algorithm |
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