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 POI recommender systems have been proposed, but there is still a lack of systematical comparison thereof. In this paper, we provide an allaround evaluation of 11 state-of-the-art POI recommendation models. From the evaluation, we obtain several important findings, based on which we can better understand and utilize POI recommendation models in various scenarios. We anticipate this work to provide readers with an overall picture of the cutting-edge research on POI recommendation.NRF (Natl Research Foundation, S’pore)Published versio
Location Based Social Networks (LBSN) promotes communications among subscribers. Utilizing online ch...
In the recent years, we have been observed the rising trend of social networks. People have formed a...
In the recent years, we have been observed the rising trend of social networks. People have formed a...
Point-of-interest (POI) recommendation systems provide recommendation of places to users based on th...
In recent years, location-based social networks (LBSNs) that allow members to share their location a...
Point-of-interest (POI) recommendation is an imperative benefit to Location-Based Social Systems (LB...
As the popularity of Location-based Social Networks increases, designing accurate models for Point-o...
ABSTRACT: The problem of personalized next point-of-interest (POI) recommendation is significant an...
The rapid urban expansion has greatly extended the physical boundary of users ’ living area and deve...
The rapid urban expansion has greatly extended the physical boundary of our living area, along with ...
The rapid urban expansion has greatly extended the physical boundary of users' living area and devel...
© 2001-2011 IEEE. Recently, location-based social networks (LBSNs) such as Foursquare and Whrrl have...
In recent years, location-based social networks (LBSNs) that allow members to share their location a...
The availability of user check-in data in large volume from the rapid growing location based social ...
Point-of-interest (POI) recommendations are a popular form of personalized service in which users sh...
Location Based Social Networks (LBSN) promotes communications among subscribers. Utilizing online ch...
In the recent years, we have been observed the rising trend of social networks. People have formed a...
In the recent years, we have been observed the rising trend of social networks. People have formed a...
Point-of-interest (POI) recommendation systems provide recommendation of places to users based on th...
In recent years, location-based social networks (LBSNs) that allow members to share their location a...
Point-of-interest (POI) recommendation is an imperative benefit to Location-Based Social Systems (LB...
As the popularity of Location-based Social Networks increases, designing accurate models for Point-o...
ABSTRACT: The problem of personalized next point-of-interest (POI) recommendation is significant an...
The rapid urban expansion has greatly extended the physical boundary of users ’ living area and deve...
The rapid urban expansion has greatly extended the physical boundary of our living area, along with ...
The rapid urban expansion has greatly extended the physical boundary of users' living area and devel...
© 2001-2011 IEEE. Recently, location-based social networks (LBSNs) such as Foursquare and Whrrl have...
In recent years, location-based social networks (LBSNs) that allow members to share their location a...
The availability of user check-in data in large volume from the rapid growing location based social ...
Point-of-interest (POI) recommendations are a popular form of personalized service in which users sh...
Location Based Social Networks (LBSN) promotes communications among subscribers. Utilizing online ch...
In the recent years, we have been observed the rising trend of social networks. People have formed a...
In the recent years, we have been observed the rising trend of social networks. People have formed a...