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Deep CNN-Assisted Personalized Recommendation over Big Data for Mobile Wireless Networks
Joint Authors
Qi, Lianyong
Xu, Xiaolong
Zheng, Yu
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-24
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
At present, to improve the accuracy and performance for personalized recommendation in mobile wireless networks, deep learning has been widely concerned and employed with social and mobile trajectory big data.
However, it is still challenging to implement increasingly complex personalized recommendation applications over big data.
In view of this challenge, a hybrid recommendation framework, i.e., deep CNN-assisted personalized recommendation, named DCAPR, is proposed for mobile users.
Technically, DCAPR integrates multisource heterogeneous data through convolutional neural network, as well as inputs various features, including image features, text semantic features, and mobile social user trajectories, to construct a deep prediction model.
Specifically, we acquire the location information and moving trajectory sequence in the mobile wireless network first.
Then, the similarity of users is calculated according to the sequence of moving trajectories to pick the neighboring users.
Furthermore, we recommend the potential visiting locations for mobile users through the deep learning CNN network with the social and mobile trajectory big data.
Finally, a real-word large-scale dataset, collected from Gowalla, is leveraged to verify the accuracy and effectiveness of our proposed DCAPR model.
American Psychological Association (APA)
Zheng, Yu& Xu, Xiaolong& Qi, Lianyong. 2019. Deep CNN-Assisted Personalized Recommendation over Big Data for Mobile Wireless Networks. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1212205
Modern Language Association (MLA)
Zheng, Yu…[et al.]. Deep CNN-Assisted Personalized Recommendation over Big Data for Mobile Wireless Networks. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1212205
American Medical Association (AMA)
Zheng, Yu& Xu, Xiaolong& Qi, Lianyong. Deep CNN-Assisted Personalized Recommendation over Big Data for Mobile Wireless Networks. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1212205
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212205