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中文摘要：
随着互联网上Web服务数量的增多，服务的QoS开始成为用户在选择服务时关注的焦点．为了有效获取服务的QoS信息以便向用户推荐高质量的服务，提出一种用户位置感知的web服务QoS预测方法…UL-WSRec．利用一些QoS属性受用户位置影响的事实和同一个自治系统中的用户在位置上邻近的特点，根据自治系统来计算用户位置和划分相似用户．在传统的协同过滤算法基础上，利用用户位置信息提出了改进的算法，以提高服务QoS预测的效率和精度．基于真实Web服务数据的实验表明了该方法的有效性．
英文摘要：
With the rapid growth of the number of Web services in the Interact, QoS has played an increasingly important role in serv- ices selection. To obtain Web services QoS and recommend Web services to users effectively, an user location-based QoS predicting method, i.e. UL-WSRec, is proposed in this paper. Based on the fact that parameters of QoS usually depend on users＇ locations, the method computes user＇s similarity by considering the characteristic that users reside in the same autonomous system of Internet are similar in locality. By incorporating users＇ locality information, the method adapts the traditional collaborative filtering algorithm so as to improve both efficiency and precision of Web services QoS prediction. Experiments conducted on real dataset of Web services vali- date the approach.
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CSCF: A Mashup Service Recommendation Approach based on Content Similarity and Collaborative Filteri
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