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Member Organization-based Service Recommendation for User Groups in Internet of Things Environments
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  • Journal title : Journal of KIISE
  • Volume 43, Issue 7,  2016, pp.786-794
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2016.43.7.786
 Title & Authors
Member Organization-based Service Recommendation for User Groups in Internet of Things Environments
Lee, Jin-Seo; Ko, In-Young;
 
 Abstract
Recommender systems can be used to assist users in selecting required services for their tasks in Internet of Things (IoT) environments in which diverse services can be provided by utilizing IoT devices. Traditional research on recommendation mainly focuses on predicting preferences of individual users. However, in IoT environments, not only individual users but also groups of users can access services in the environments. In this study, we analyzed user groups' preferences on services and developed service recommendation approach for new groups that do not have a history of accessing IoT-services in a certain place. Our approach extends the traditional user-based collaborative filtering by considering the similarity between user groups based on their member organization. We conducted experiments with a real-world dataset collected from IoT testbed environments. The results demonstrate that the proposed approach is effective to recommend services to new user groups in IoT environments.
 Keywords
recommender systems;group recommendation;service recommendation;internet of Things;
 Language
Korean
 Cited by
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