Context-Aware Personalization Recommendation of Web Services
Qiang Dong, Xiu Guo Zhang, Yuan Yuan, Ting Ting Han, Zhi Yi Zhu · Advanced materials research · 2013
Web service selection has been a hot research area in recent years. In order to improve users satisfaction of service selection, optimization algorithm and recommendation algorithm have been used in the web service selection process. This paper uses context information in selecting and implementing process of Web services recommendation to make the recommendation result more accurate. According to different users different requests, combining with contexts obtained from environment, we give matching recommendation strategy suitable for the current situation, personalize the recommendation process and make it possible to improve the accuracy of the recommendation result.