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- Title
Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions.
- Authors
Altulyan, May; Yao, Lina; Wang, Xianzhi; Huang, Chaoran; Kanhere, Salil S; Sheng, Quan Z
- Abstract
Recommendation is a critical tool for developing and promoting the benefits of the Internet of Things (IoT). In recent years, recommender systems have attracted considerable attention in many IoT-related fields such as smart health, smart home, smart tourism and smart marketing. However, traditional recommender system approaches fail to exploit ever-growing, dynamic and heterogeneous IoT data in building recommender systems for the IoT (RSIoT). This article aims to provide a comprehensive review of state-of-the-art RSIoT, including the related techniques, applications and a discussion on the limitations of applying recommendation systems to IoT. Finally, we propose a reference framework for comparing existing studies to guide future research and practices.
- Subjects
INTERNET of things; RECOMMENDER systems; SMART homes; TOURISM marketing
- Publication
Computer Journal, 2022, Vol 65, Issue 8, p2098
- ISSN
0010-4620
- Publication type
Article
- DOI
10.1093/comjnl/bxab049