Abstract
Recommendation algorithms predict users’ opinions towards IoT service providers, helping users finding things that might be of their interests. With the rapid development of IoT applications, various recommender models have been proposed for usage, trust-aware recommender models have been verified to have reasonable recommendation performances even in case of data sparseness. However, existing works did not consider the influence of distrust between users. They recommend items only base on the trust relations between users. We therefore propose a novel trust strength based IoT service provider recommender model which predicts ratings with recommendations given by recommenders with both trust and distrust relations with the active users. The trust strength also merges both local and structural information of users in the trust network. The experimental results show that the proposed method has better prediction accuracy and prediction coverage than the existing works. In addition, the proposed method is computational less expensive.
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Acknowledgements
This research was supported by Nature Science Foundation of China No. 61672284, Natural Science Foundation of Jiangsu Province of China No. BK20171418, Open Project Foundation of Information Technology Research Base of Civil Aviation Administration of China No. CAAC-ITRB-201501 and No. CAAC-ITRB-201602, China Postdoctoral Science Foundation No. 2016M591841 and No. 2016M601707, and Changzhou Sciences and Technology Program No. CJ20160016.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yuan, W., Li, C., Guan, D., Han, G., Wang, F. (2018). IoT Service Provider Recommender Model Using Trust Strength. In: Lin, YB., Deng, DJ., You, I., Lin, CC. (eds) IoT as a Service. IoTaaS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-030-00410-1_34
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DOI: https://doi.org/10.1007/978-3-030-00410-1_34
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