- Title
- A microservice recommendation mechanism based on mobile architecture
- Creator
- Wang, Ru; Imran, Muhammad; Saleem, Kashif
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/184443
- Identifier
- vital:16486
- Identifier
-
https://doi.org/10.1016/j.jnca.2019.102510
- Identifier
- ISBN:1084-8045 (ISSN)
- Abstract
- The microservice recommendation mechanism, as a key supporting technology for providing users with intelligent and proactive application services, is one of the important research contents in mobile social networks. In this paper, a recommendation mechanism of mobile social network service based on user trajectory, trust network and collaborative filtering algorithm is proposed. The user trajectory prediction model based on Generative Adversarial Network (GAN) is introduced into the process of service recommendation, and combined with trust degree to constitute the 3D service recommendation model of user-service-trajectory prediction. This method improves the accuracy and reliability of service recommendation and avoids the blindness and randomness of service recommendation. The simulation experiments show that the service recommendation algorithm has higher accuracy than the traditional collaborative filtering algorithm. © 2019 Elsevier Ltd
- Publisher
- Academic Press
- Relation
- Journal of Network and Computer Applications Vol. 152, no. (2020), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright @ © 2019 Elsevier Ltd.
- Subject
- 4604 Cybersecurity and Privacy; 4606 Distributed Computing and Systems Software; Collaborative filtering algorithm; GAN; Microservice recommendation mechanism; Trajectory prediction
- Reviewed
- Funder
- This work is supported by the National Natural Science Foundation of China ( 61902295 ), and the Deanship of Scientific Research at King Saud University ( RG-1435-051 ).
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