LCARS: A spatial item recommender system
Newly emerging location-based and event-based social network services provide us with a
new platform to understand users' preferences based on their activity history. A user can …
new platform to understand users' preferences based on their activity history. A user can …
Lcars: a location-content-aware recommender system
Newly emerging location-based and event-based social network services provide us with a
new platform to understand users' preferences based on their activity history. A user can …
new platform to understand users' preferences based on their activity history. A user can …
HiRecS: A hierarchical contextual location recommendation system
The point-of-interest (POI) recommender exploits check-in information from location-based
social networks (LBSNs) to recommend POIs that match user preferences. The preferences …
social networks (LBSNs) to recommend POIs that match user preferences. The preferences …
Location-based and preference-aware recommendation using sparse geo-social networking data
The popularity of location-based social networks provide us with a new platform to
understand users' preferences based on their location histories. In this paper, we present a …
understand users' preferences based on their location histories. In this paper, we present a …
Incorporating spatial, temporal, and social context in recommendations for location-based social networks
T Stepan, JM Morawski, S Dick… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Location-based social networks (LBSNs) such as Foursquare, Brightkite, and Gowalla are a
growing area where recommendation algorithms find a practical application. With an ever …
growing area where recommendation algorithms find a practical application. With an ever …
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 …
Location recommendation in location-based social networks using user check-in data
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 …
location-based social networks (LBSNs). As an increasingly larger number of users partake …
Personalized group recommender systems for location-and event-based social networks
S Purushotham, CCJ Kuo - ACM Transactions on Spatial Algorithms and …, 2016 - dl.acm.org
Location-Based Social Networks (LBSNs) such as Foursquare, Google+ Local, and so on,
and Event-Based Social Networks (EBSNs) such as Meetup, Plancast, and so on, have …
and Event-Based Social Networks (EBSNs) such as Meetup, Plancast, and so on, have …
Lars*: An efficient and scalable location-aware recommender system
M Sarwat, JJ Levandoski, A Eldawy… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
This paper proposes LARS*, a location-aware recommender system that uses location-
based ratings to produce recommendations. Traditional recommender systems do not …
based ratings to produce recommendations. Traditional recommender systems do not …
Lars*: An efficient and scalable location-aware recommender system
M Sarwat, JJ Levandoski, A Eldawy… - IEEE Transactions on …, 2014 - computer.org
This paper proposes LARS*, a location-aware recommender system that uses location-
based ratings to produce recommendations. Traditional recommender systems do not …
based ratings to produce recommendations. Traditional recommender systems do not …