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• W2940996842 abstract "With the development of the Internet and mobile technologies, the Internet of Things (IoT) era has arrived. Vehicle networking technology can not only facilitate people's travel but also effectively alleviate traffic congestion. The development of fog computing technology provides unlimited possibilities for the Internet of Vehicles (IoV). Intelligent navigator is a very important part of human-computer interaction in IoV. It carries a large number of tasks of recommending content for users. In order to get more accurate recommendation content, we propose a weighted interest degree recommendation algorithm using association rules for intelligence in the IoV. First, the user data are analyzed to establish the association rule mining algorithm. Second, the user interest score is predicted by analyzing the relevance between user interests to recommend personalized service for the user. From the simulation results, we can see that the proposed algorithm can achieve higher recommendation accuracy." @default.
• W2940996842 created "2019-05-03" @default.
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• W2940996842 date "2019-01-01" @default.
• W2940996842 modified "2023-10-16" @default.
• W2940996842 title "Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environment" @default.
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• W2940996842 doi "https://doi.org/10.1109/access.2019.2912897" @default.
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