Towards mobile intelligence: Learning from GPS history data for collaborative recommendation
With the increasing popularity of location-based services, we have accumulated a lot of
location data on the Web. In this paper, we are interested in answering two popular location …
location data on the Web. In this paper, we are interested in answering two popular location …
CLR: a collaborative location recommendation framework based on co-clustering
GPS data tracked on mobile devices contains rich information about human activities and
preferences. In this paper, GPS data is used in location-based services (LBSs) to provide …
preferences. In this paper, GPS data is used in location-based services (LBSs) to provide …
Collaborative filtering meets mobile recommendation: A user-centered approach
With the increasing popularity of location tracking services such as GPS, more and more
mobile data are being accumulated. Based on such data, a potentially useful service is to …
mobile data are being accumulated. Based on such data, a potentially useful service is to …
Learning travel recommendations from user-generated GPS traces
The advance of GPS-enabled devices allows people to record their location histories with
GPS traces, which imply human behaviors and preferences related to travel. In this article …
GPS traces, which imply human behaviors and preferences related to travel. In this article …
Scalable content-aware collaborative filtering for location recommendation
Location recommendation plays an essential role in helping people find attractive places.
Though recent research has studied how to recommend locations with social and …
Though recent research has studied how to recommend locations with social and …
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 …
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 …
Recommending friends and locations based on individual location history
The increasing availability of location-acquisition technologies (GPS, GSM networks, etc.)
enables people to log the location histories with spatio-temporal data. Such real-world …
enables people to log the location histories with spatio-temporal data. Such real-world …
Collaborative location recommendation by integrating multi-dimensional contextual information
Point-of-Interest (POI) recommendation is a new type of recommendation task that comes
along with the prevalence of location-based social networks and services in recent years …
along with the prevalence of location-based social networks and services in recent years …
Point-of-interest recommendation with global and local context
The task of point of interest (POI) recommendation aims to recommend unvisited places to
users based on their check-in history. A major challenge in POI recommendation is data …
users based on their check-in history. A major challenge in POI recommendation is data …