Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective

P Sánchez, A Bellogín - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …

Rank-geofm: A ranking based geographical factorization method for point of interest recommendation

X Li, G Cong, XL Li, TAN Pham… - Proceedings of the 38th …, 2015 - dl.acm.org
With the rapid growth of location-based social networks, Point of Interest (POI)
recommendation has become an important research problem. However, the scarcity of the …

An experimental evaluation of point-of-interest recommendation in location-based social networks

Y Liu, TAN Pham, G Cong, Q Yuan - 2017 - dr.ntu.edu.sg
Point-of-interest (POI) recommendation is an important service to Location-Based Social
Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of …

Graph-based point-of-interest recommendation with geographical and temporal influences

Q Yuan, G Cong, A Sun - Proceedings of the 23rd ACM international …, 2014 - dl.acm.org
The availability of user check-in data in large volume from the rapid growing location-based
social networks (LBSNs) enables a number of important location-aware services. Point-of …

Personalized point-of-interest recommendation by mining users' preference transition

X Liu, Y Liu, K Aberer, C Miao - Proceedings of the 22nd ACM …, 2013 - dl.acm.org
Location-based social networks (LBSNs) offer researchers rich data to study people's online
activities and mobility patterns. One important application of such studies is to provide …

Location recommendation in location-based social networks using user check-in data

H Wang, M Terrovitis, N Mamoulis - Proceedings of the 21st ACM …, 2013 - dl.acm.org
This paper studies the problem of recommending new venues to users who participate in
location-based social networks (LBSNs). As an increasingly larger number of users partake …

A sentiment-enhanced personalized location recommendation system

D Yang, D Zhang, Z Yu, Z Wang - … of the 24th ACM conference on …, 2013 - dl.acm.org
Although online recommendation systems such as recommendation of movies or music
have been systematically studied in the past decade, location recommendation in Location …