Time and Location-aware Activity Personalized Recommendation Method

Abstract

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.