摘要
基于时间和空间感知,提出一种新的活动推荐方法。考虑用户的社会关系,通过构建用户、地点、时间、活动、朋友关系异构信息网络,采用随机游走算法获取推荐活动。实验结果表明,与流行活动推荐方法和基于社会关系的活动推荐方法相比,该方法能获得较好的推荐效果。
A new recommendation method is proposed based on time and space perception.Considering the user's social relationship,the random walk algorithm is used to get the recommendation activity by constructing the user,location,time,activity,and the information network of friends.Experimental results show that this method can get better results compared with the popular activity recommendation method and the social relation activity recommendation method.
作者
赵海燕
骆金
陈庆奎
ZHAO Haiyan;LUO Jin;CHEN Qingkui(School of Optical-electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《计算机工程》
CAS
CSCD
北大核心
2018年第4期218-224,共7页
Computer Engineering
基金
国家自然科学基金(61472253)
上海市科委项目(14511107702
15411952502)
上海市教委科研创新计划项目(13ZZ112
13YZ0750)
关键词
活动推荐
随机游走
社交网络
异构网络模型
时间和位置感知
activity recommendation
random walk
social network
heterogeneous network model
time and locationaware
