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| 基于协同过滤的个性化Web服务选择方法 | |
| 引用本文： | 贺春林,谢琪.基于协同过滤的个性化Web服务选择方法[J].计算机应用,2013,33(1):239-242. |
| 作者姓名： | 贺春林 谢琪 |
| 作者单位： | 1. 西华师范大学 计算机学院， 四川 南充 637002 2. 西南民族大学 计算机科学与技术学院， 成都 610041 3. 重庆大学 计算机学院， 重庆 400043 |
| 基金项目： | 国家自然科学基金重点项目(90818028);西华师范大学校级项目(08B009) |
| 摘 要： | 对传统的Web服务选择算法进行分析，并指出其在动态环境下存在的问题。为了解决该问题，提出了基于协同过滤算法的个性化Web服务选择方法，并设计了一个动态的Web服务选择架构，架构使用协同过滤算法对Web服务的服务质量(QoS)值进行预测并选择最优的Web服务以满足用户的需求。使用150万条真实Web服务的QoS数据与其他4类算法进行了对比实验，结果表明所提方法的可行性和准确性。 |
| 关 键 词： | Web服务 服务选择 协同过滤 服务质量 相似性 |
| 收稿时间： | 2012-07-30 |
| 修稿时间： | 2012-09-10 |
Personalized Web services selection method based on collaborative filtering |
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| HE Chunlin,XIE Qi.Personalized Web services selection method based on collaborative filtering[J].journal of Computer Applications,2013,33(1):239-242. | |
| Authors: | HE Chunlin XIE Qi |
| Affiliation: | 1. College of Computer Science, China West Normal University, Nanchong Sichuan 637002, China 2. College of Computer Science, Chongqing University, Chongqing 400043, China 3. School of Computer Science and Technology, Southwest University for Nationalities, Chengdu Sichuan 610041, China |
| Abstract: | The traditional Web services selection algorithms were analyzed and the problems existing in dynamic environment were pointed out. A personalized Web services selection method based on collaborative filtering was proposed to address these problems. And a personalized Web service selection framework was designed, which used the collaborative filtering to predict the Quality of Service (QoS) and selected the best service that met users' requirements. About 1.5 million real world QoS data were employed to evaluate the proposal with other four methods and the experimental results demonstrate that the proposed method is a feasible manner and it provides better prediction results. |
| Keywords: | Web service service selection collaborative filtering Quality of Service (QoS) similarity |
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