摘要
针对Web服务推荐时间和结果精确度方面存在的不足,本文提出一种基于QoS(Quality of Service)历史记录的Web服务推荐算法(Web Service Recommendation Algorithm based on Historical QoS,WSRAHQ)。首先,建立基于欧氏距离的Web网络用户兴趣度相似簇,提高Web服务推荐的精确度;然后,根据用户的QoS历史记录,利用多元线性回归,得到新用户的Web服务推荐结果,完成Web服务推荐。仿真结果表明了该方法有效性。
Aiming at the accuracy problem of Web service recommend time and result, a Web Service Recommendation Algorithm based on the Historical QoS record（WSRAHQ） is proposed in this paper. First, based on the Euclidean distance, the similar cluster of Web network users＂ interest degree is built to improve the accuracy of Web service recommendation. Then, the new user＇s Web service recommend result is given to finish the Web service recommendation based on the users＂ QoS Historical record and multiple linear regression. The simulation results show its efficiency.
出处
《中国海洋大学学报（自然科学版）》
CAS
CSCD
北大核心
2017年第9期134-140,共7页
Periodical of Ocean University of China
基金
国家科技支撑计划项目(2015BAF28B01)资助~~
关键词
QoS历史记录
用户兴趣度
欧氏距离
多元线性回归
Web服务推荐
QoS historical record
users
interest degree,Euclidean distanee
multiple linear regressiom Web service recommendation.
