| 一种使用DSmTrust信任模型的推荐系统 |
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| 引用本文： | 王进.一种使用DSmTrust信任模型的推荐系统[J].计算机工程与应用,2011,47(13):98-102. |
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| 作者姓名： | 王进 |
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| 作者单位： | 南通大学 计算机科学与技术学院，江苏 南通 226019 |
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| 摘 要： | 协同过滤是当前主要的推荐技术，它的主要缺点是稀疏和扩展性问题。提出了一种基于DSmTrust信任模型的推荐系统，利用信任的传递性解决稀疏问题，分布式的DSmTrust方法具有良好的扩展性。实验表明，新方法比协同过滤的覆盖率更高，比Massa的信任感知推荐方法的精度更高。
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| 关 键 词： | 信任 推荐系统 协同过滤 |
| 修稿时间： | |
Recommender system using DSmTrust trust model |
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| WANG Jin.Recommender system using DSmTrust trust model[J].Computer Engineering and Applications,2011,47(13):98-102. |
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| Authors: | WANG Jin |
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| Affiliation: | School of Computer Science and Technology，Nantong University，Nantong，Jiangsu 226019，China |
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| Abstract: | Collaborative filtering is the main recommendation technology,which suffers from sparsity and scalability problems.A recommender system based on DSmTrust trust model is proposed.The trust transitivity is employed to overcome the sparsi-ty problem and the distributed DSmTrust approach has good scalability.Experiments show that this study has better coveragethan collaborative filtering and has higher accuracy than Massa’s trust-aware recommendation approach. 更多还原 |
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| Keywords: | trust recommender system collaborative filtering |
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