Friendship prediction model based on factor graphs integrating geographical location
作者机构:School of Software EngineeringChengdu University of Information TechnologyChengdu 610225People’s Republic of China School of ManagementChengdu University of Information TechnologyChengdu 610103People’s Republic of China School of Computer and Information EngineeringNanning Normal UniversityNanning Guangxi 530299People’s Republic of China Guangxi College of EducationNanning Guangxi 530023People’s Republic of China Chengdu Tanmer Technology Co.LtdChengdu 610000People’s Republic of China
出 版 物:《CAAI Transactions on Intelligence Technology》 (智能技术学报(英文))
年 卷 期:2020年第5卷第3期
页 面:193-199页
核心收录:
学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
基 金:This work was partially supported by the National Natural Science Foundation of China(grant nos.61772091,61802035,61962006,61702058,71701026) the Sichuan Science and Technology Program(grant nos.2018JY0448,2019YFG0106,2019YFS0067,2020YJ0481,2020YFS0466,2020YJ0430,and 2020JDR0164) the Natural Science Foundation of Guangxi(grant no.2018GXNSFDA138005) a Project Supported by SiChuan Landscape and Recreation Research Center(grant no.JGYQ2018010) the Innovative Research Team Construction Plan in Universities of Sichuan Province(grant no.18TD0027) Guangdong Province Key Laboratory of Popular High Performance Computers(grant no.2017B030314073) the Key R&D Program of Guangdong province(grant no.2018B030325002)
主 题:LBS services prediction
摘 要:With the development of network services and location-based systems,many mobile applications begin to use users’geographical location to provide better *** terms of social networks,geographical location is actively shared by *** some applications with recommendation services,before the geographical location recommendation is provided,the authors have to obtain user’s *** kind of social network integrated with geographical location information is called location-based social networks(abbreviate for LBSNs).In the LBSN,each user has location information when he or she checked in hotels or feature *** on this information,they can identify user’s trajectory of movement behaviour and activity *** general,if there is friendship between two users,their trajectories in reality are likely to be *** this study,according to user’s geographical location information over a period of time,they explore whether there exists friendly relationship between two users based on trajectory similarity and the structure theory of *** particular,they propose a new factor function and a factor graph model based on user’s geographical location to predict the friendship between two users in the real LBSN.