Personalized Web Service Recommendation via Normal Recovery Collaborative Filtering
Publication in refereed journal


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摘要With the increasing amount of web services on the Internet, personalized web service selection and recommendation are becoming more and more important. In this paper, we present a new similarity measure for web service similarity computation and propose a novel collaborative filtering approach, called normal recovery collaborative filtering, for personalized web service recommendation. To evaluate the web service recommendation performance of our approach, we conduct large-scale real-world experiments, involving 5,825 real-world web services in 73 countries and 339 service users in 30 countries. To the best of our knowledge, our experiment is the largest scale experiment in the field of service computing, improving over the previous record by a factor of 100. The experimental results show that our approach achieves better accuracy than other competing approaches.
著者Sun HF, Zheng ZB, Chen JL, Lyu MR
期刊名稱IEEE Transactions on Services Computing
出版年份2013
月份10
日期1
卷號6
期次4
出版社IEEE COMPUTER SOC
頁次573 - 579
國際標準期刊號1939-1374
語言英式英語
關鍵詞collaborative filtering; QoS; recommender system; Service recommendation
Web of Science 學科類別Computer Science; Computer Science, Information Systems; Computer Science, Software Engineering

上次更新時間 2020-26-10 於 23:07