| 基于新闻时效性的协同过滤推荐算法 |
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| 引用本文： | 冯文杰,熊翱.基于新闻时效性的协同过滤推荐算法[J].计算机系统应用,2018,27(5):193-197. |
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| 作者姓名： | 冯文杰 熊翱 |
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| 作者单位： | 北京邮电大学 网络技术研究院, 北京 100876,北京邮电大学 网络技术研究院, 北京 100876 |
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| 摘 要： | 提出一种基于新闻时效性的协同过滤推荐算法. 首先对新闻的时效性进行了特征分析, 建立了新闻时效性模型, 然后结合新闻时效性改进了基于用户的协同过滤算法. 最后进行了仿真实验, 实验结果表明, 该方法可以有效提高推荐算法的性能, 改善新闻推荐准确度和召回率.
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| 关 键 词： | 协同过滤 新闻推荐 时效性模型 |
| 收稿时间： | 2017/9/10 0:00:00 |
| 修稿时间： | 2017/9/30 0:00:00 |
Collaborative Filtering Recommendation Algorithm Based on News Timeliness |
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| FENG Wen-Jie and XIONG Ao.Collaborative Filtering Recommendation Algorithm Based on News Timeliness[J].Computer Systems& Applications,2018,27(5):193-197. |
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| Authors: | FENG Wen-Jie and XIONG Ao |
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| Affiliation: | Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China and Institute of Network Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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| Abstract: | A collaborative filtering recommendation algorithm based on news timeliness is proposed. Firstly, by analyzing the characteristics of the news timeliness, the timeliness model of news is established. Then, the user-based collaborative filtering algorithm is improved combining the news timeliness model. Finally, the experimental results show that this method can highly enhance the performance of user-based collaborative filtering algorithm, and ameliorate the accuracy and recall rate of news recommendation. |
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| Keywords: | collaborative filtering news recommendation timeliness model |
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