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- W3163964943 endingPage "2132" @default.
- W3163964943 startingPage "2098" @default.
- W3163964943 abstract "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." @default.
- W3163964943 created "2021-06-07" @default.
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- W3163964943 creator A5059077090 @default.
- W3163964943 creator A5076107706 @default.
- W3163964943 date "2021-05-19" @default.
- W3163964943 modified "2023-10-02" @default.
- W3163964943 title "A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions" @default.
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