A survey of context-aware mobile recommendations
Mobile recommender systems target on recommending the right product or information to
the right mobile users at anytime and anywhere. It is well known that the contextual …
the right mobile users at anytime and anywhere. It is well known that the contextual …
Trip recommendation meets real-world constraints: POI availability, diversity, and traveling time uncertainty
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 …
[PDF][PDF] A survey on recommendations in location-based social networks
Recent advances in position localization techniques have fundamentally enhanced social
networking services, allowing users to share their locations and location-related content …
networking services, allowing users to share their locations and location-related content …
Objectives and state-of-the-art of location-based social network recommender systems
Z Ding, X Li, C Jiang, M Zhou - Acm Computing Surveys (Csur), 2018 - dl.acm.org
Because of the widespread adoption of GPS-enabled devices, such as smartphones and
GPS navigation devices, more and more location information is being collected and …
GPS navigation devices, more and more location information is being collected and …
Mining user check-in behavior with a random walk for urban point-of-interest recommendations
In recent years, research into the mining of user check-in behavior for point-of-interest (POI)
recommendations has attracted a lot of attention. Existing studies on this topic mainly treat …
recommendations has attracted a lot of attention. Existing studies on this topic mainly treat …
A unified point-of-interest recommendation framework in location-based social networks
Location-based social networks (LBSNs), such as Gowalla, Facebook, Foursquare,
Brightkite, and so on, have attracted millions of users to share their social friendship and …
Brightkite, and so on, have attracted millions of users to share their social friendship and …
Fast flexible bipartite graph model for co-clustering
Co-clustering methods make use of the correlation between samples and attributes to
explore the co-occurrence structure in data. These methods have played a significant role in …
explore the co-occurrence structure in data. These methods have played a significant role in …
[图书][B] Location-based social networks
P Symeonidis, D Ntempos, Y Manolopoulos… - 2014 - Springer
Abstract Location-based Social Networks (LBSNs) can be considered as a special Online
Social Network (OSN) category. Actually, an LBSN has the same OSN's properties, but …
Social Network (OSN) category. Actually, an LBSN has the same OSN's properties, but …
POI recommendation through cross-region collaborative filtering
Recommending points of interest (POIs) to a user according to the user's current location
and past check-in activities is the focus in this paper. Previously proposed probabilistic and …
and past check-in activities is the focus in this paper. Previously proposed probabilistic and …
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 …