Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environment
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 pos...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8697089/ |
| _version_ | 1818643026047664128 |
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| author | Fuhong Lin Yutong Zhou Ilsun You Jiuzhi Lin Xingshuo An Xing Lu |
| author_facet | Fuhong Lin Yutong Zhou Ilsun You Jiuzhi Lin Xingshuo An Xing Lu |
| author_sort | Fuhong Lin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T23:52:24Z |
| format | Article |
| id | doaj.art-693747459b084945829dce46e89b5673 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T23:52:24Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-693747459b084945829dce46e89b56732022-12-21T22:11:17ZengIEEEIEEE Access2169-35362019-01-017536775368610.1109/ACCESS.2019.29128978697089Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT EnvironmentFuhong Lin0https://orcid.org/0000-0002-5287-5226Yutong Zhou1https://orcid.org/0000-0002-9047-9873Ilsun You2https://orcid.org/0000-0002-0604-3445Jiuzhi Lin3Xingshuo An4Xing Lu5School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, ChinaInstitute of Education and Economy Research, University of International Business and Economics, Beijing, ChinaDepartment of Information Security Engineering, Soonchunhyang University, Asan-si, South KoreaSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, ChinaSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, ChinaSchool of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, ChinaWith 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.https://ieeexplore.ieee.org/document/8697089/Content recommendationassociation rulesInternet of Vehiclesfog computing |
| spellingShingle | Fuhong Lin Yutong Zhou Ilsun You Jiuzhi Lin Xingshuo An Xing Lu Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environment IEEE Access Content recommendation association rules Internet of Vehicles fog computing |
| title | Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environment |
| title_full | Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environment |
| title_fullStr | Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environment |
| title_full_unstemmed | Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environment |
| title_short | Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environment |
| title_sort | content recommendation algorithm for intelligent navigator in fog computing based iot environment |
| topic | Content recommendation association rules Internet of Vehicles fog computing |
| url | https://ieeexplore.ieee.org/document/8697089/ |
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