Content Recommendation Algorithm for Intelligent Navigator in Fog Computing Based IoT Environmentopen access
- Authors
- Lin, Fuhong; Zhou, Yutong; You, Ilsun; Lin, Jiuzhi; An, Xingshuo; Lu, Xing
- Issue Date
- 2019
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Content recommendation; association rules; Internet of Vehicles; fog computing
- Citation
- IEEE Access, v.7, pp 53677 - 53686
- Pages
- 10
- Journal Title
- IEEE Access
- Volume
- 7
- Start Page
- 53677
- End Page
- 53686
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/5336
- DOI
- 10.1109/ACCESS.2019.2912897
- ISSN
- 2169-3536
- 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > Department of Information Security Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/5336)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.