A group recommendation approach for service selection

Authors:
Tao Liu;Feng Xu;Yuan Yao;Jian Lu
Affiliations:
Nanjing University, China;Nanjing University, China;Nanjing University, China;Nanjing University, China
Venue:
Proceedings of the Fourth Asia-Pacific Symposium on Internetware
Year:
2012

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Abstract

There are more and more services that fulfill similar functionality, such as image service provided by Flickr, Picasa and Facebook. Which should be adopted to construct our software system in the open, dynamic and non-deterministic Internet environment is a key problem. Earlier work[15, 9] analyze this problem from the point view of QoS and established generic and extensible QoS computation framework for service selection. However those framework are almost designed for individuals. As social network emerges and gets widespread, people tend to be more connected and self-organize themselves into groups. Benefits of all members should be considered when we select service for group. In this article, we propose a revised group recommendation algorithm which takes advantage of collaborative filtering technology for service selection. As the experiment demonstrates, our algorithm exhibits high accuracy.