Title: Study on social network recommendation service method based on mobile cloud computing
Authors: Furong Li; Kaibin Wei
Addresses: School of Electronic Information and Electrical Engineering, Tianshui Normal University, Tianshui, 741000, China ' School of Electronic Information and Electrical Engineering, Tianshui Normal University, Tianshui, 741000, China
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.
Keywords: mobile cloud computing; social network; recommendation; service system; collaborative filtering; autocorrelation feature matching.
International Journal of Autonomous and Adaptive Communications Systems, 2021 Vol.14 No.4, pp.398 - 408
Received: 20 Feb 2020
Accepted: 31 Aug 2020
Published online: 23 Nov 2021 *