Design and Implementation of Collaborative Filtering Recommendation Algorithm for Multi-layer Networks  

作　　者：Ling Gou Lin Zhou Yuzhi Xiao 

机构地区：[1]Computer Department,Qinghai Normal University,Xining 810016,Qinghai,China [2]Tibetan Information Processing and Machine Translation Key Laboratory of Qinghai Province,Xining 810008,Qinghai,China [3]Key Laboratory of Tibetan Information Processing,Ministry of Education,Xining 810008,Qinghai,China

出　　处：《国际计算机前沿大会会议论文集》2021年第1期32-50,共19页International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）

基　　金：This work was supported by the National Science Foundation of China(No.61763041)and the Science Found of Qinghai Province(No.2020-GX-112).

摘　　要：With the continuous development of mobile communications and Internet technologies,the marketing model of the communications industry has shifted from calling-based to social APP-based personalized recommendations.In order to improve the accuracy of recommendation,this paper proposes a recommendation algorithm for social analysis.Empirical data was firstly used to construct a“user-APP”two-layer communication network model,and then the traditional collaborative filtering recommendation technology was integrated to reconstruct similar users and similar APP network model.The bipartite graph weight distribution method was taken to recommend targets in the obtained network model.The experimental simulation shows that,in view of the characteristics of the twolayer communication network,compared with the traditional recommendation algorithm,the algorithm effectively improves the accuracy of the score prediction.

关 键 词：Two-layer communication network Social network analysis Recommendation algorithm Collaborative filtering algorithm 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]