Title: Time-slot-based point of interest recommendation on location-based social network

Authors: Jun Zeng; Yinghua Li; Feng Li; Xin He; Junhao Wen

Addresses: Graduate School of Software Engineering, Chongqing University, Chongqing, 400044, China ' Graduate School of Software Engineering, Chongqing University, Chongqing, 400044, China ' Graduate School of Software Engineering, Chongqing University, Chongqing, 400044, China ' Graduate School of Software Engineering, Chongqing University, Chongqing, 400044, China ' Graduate School of Software Engineering, Chongqing University, Chongqing, 400044, China

Abstract: Point-of-interest (POI) recommendation on location-based social network (LBSN) is an important service in mobile environment. POI recommendation recommends places that users have not visited before. In this paper, we introduce time slot to describe the feature vector of locations. We consider that the locations that user has visited may reflect user's preference. Hence, we calculate the similarity between the visited locations and the unvisited locations. Meanwhile, we consider the influence of the physical distance and the weight of the visited locations. We conduct an experiment and the experimental results show that our method has better precision and recall than the other two methods.

Keywords: location-based social networks; LBSN; point-of-interest recommendation; time-slot; temporal information.

DOI: 10.1504/IJIMS.2018.091988

International Journal of Internet Manufacturing and Services, 2018 Vol.5 No.2/3, pp.157 - 168

Available online: 18 May 2018 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article