Study on social network recommendation service method based on mobile cloud computing
by Furong Li; Kaibin Wei
International Journal of Autonomous and Adaptive Communications Systems (IJAACS), Vol. 14, No. 4, 2021

Abstract: In order to improve the recommendation ability of social network, the design method of social network recommendation service system based on mobile cloud computing is proposed. Design the topology of social network recommendation service and retrieve the service information of social network. The correlation characteristics of intelligent social network recommendation are extracted, collaborative filtering is carried out, the filtering detection model of social network service is established, and the filtering analysis in the process of social network service recommendation is realised by using autocorrelation feature matching. In the intelligent service mode, the trust relationship scheduling of social network resources is realised, and according to the trust relationship, the system optimisation design of social network recommendation service is realised in the mobile cloud computing environment. The experiment shows that the error of this method is relatively small, the lowest can reach 0.62, and it has good intelligence, accuracy and anti-interference ability.

Online publication date: Tue, 23-Nov-2021

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