Recommendations in location-based social networks: a survey
Recent advances in localization techniques have fundamentally enhanced social
networking services, allowing users to share their locations and location-related contents …
networking services, allowing users to share their locations and location-related contents …
Geosoca: Exploiting geographical, social and categorical correlations for point-of-interest recommendations
Recommending users with their preferred points-of-interest (POIs), eg, museums and
restaurants, has become an important feature for location-based social networks (LBSNs) …
restaurants, has become an important feature for location-based social networks (LBSNs) …
Personalized travel package with multi-point-of-interest recommendation based on crowdsourced user footprints
Location-based social networks (LBSNs) provide people with an interface to share their
locations and write reviews about interesting places of attraction. The shared locations form …
locations and write reviews about interesting places of attraction. The shared locations form …
CoRe: Exploiting the personalized influence of two-dimensional geographic coordinates for location recommendations
With the rapid growth of location-based social networks (LBSNs), location recommendations
play an important role in shaping the life of individuals. Fortunately, a variety of community …
play an important role in shaping the life of individuals. Fortunately, a variety of community …
Spatiotemporal sequential influence modeling for location recommendations: A gravity-based approach
Recommending to users personalized locations is an important feature of Location-Based
Social Networks (LBSNs), which benefits users who wish to explore new places and …
Social Networks (LBSNs), which benefits users who wish to explore new places and …
TICRec: A probabilistic framework to utilize temporal influence correlations for time-aware location recommendations
In location-based social networks (LBSNs), time significantly affects users' check-in
behaviors, for example, people usually visit different places at different times of weekdays …
behaviors, for example, people usually visit different places at different times of weekdays …
Personalized trip recommendation with poi availability and uncertain traveling time
As location-based social network (LBSN) services become increasingly popular, trip
recommendation that recommends a sequence of points of interest (POIs) to visit for a user …
recommendation that recommends a sequence of points of interest (POIs) to visit for a user …
A graph-based taxonomy of recommendation algorithms and systems in LBSNs
P Kefalas, P Symeonidis… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Recently, location-based social networks (LBSNs) gave the opportunity to users to share
geo-tagged information along with photos, videos, and SMSs. Recommender systems can …
geo-tagged information along with photos, videos, and SMSs. Recommender systems can …
A hybrid multigroup coclustering recommendation framework based on information fusion
S Huang, J Ma, P Cheng, S Wang - ACM Transactions on Intelligent …, 2015 - dl.acm.org
Collaborative Filtering (CF) is one of the most successful algorithms in recommender
systems. However, it suffers from data sparsity and scalability problems. Although many …
systems. However, it suffers from data sparsity and scalability problems. Although many …
Random walk based context-aware activity recommendation for location based social networks
The pervasiveness of location-acquisition technologies enable location-based social
networks (LBSN) to become increasingly popular in recent years. Users are able to check-in …
networks (LBSN) to become increasingly popular in recent years. Users are able to check-in …