CityVoyager: An outdoor recommendation system based on user location history
Y Takeuchi, M Sugimoto - International Conference on Ubiquitous …, 2006 - Springer
Recommendation systems, which automatically understand user preferences and make
recommendations, are now widely used in online shopping. However, so far there have …
recommendations, are now widely used in online shopping. However, so far there have …
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 …
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 …
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 …
I'm feeling loco: A location based context aware recommendation system
N Saiph Savage, M Baranski, N Elva Chavez… - Advances in Location …, 2012 - Springer
Research in ubiquitous location recommendation systems has focused on automatically
inferring a user's preferences while little attention has been devoted to the recommendation …
inferring a user's preferences while little attention has been devoted to the recommendation …
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 …
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 …
Geo topic model: joint modeling of user's activity area and interests for location recommendation
T Kurashima, T Iwata, T Hoshide, N Takaya… - Proceedings of the sixth …, 2013 - dl.acm.org
This paper proposes a method that analyzes the location log data of multiple users to
recommend locations to be visited. The method uses our new topic model, called Geo Topic …
recommend locations to be visited. The method uses our new topic model, called Geo Topic …
Urban point-of-interest recommendation by mining user check-in behaviors
In recent years, researches on recommendation of urban Points-Of-Interest (POI), such as
restaurants, based on social information have attracted a lot of attention. Although a number …
restaurants, based on social information have attracted a lot of attention. Although a number …
CEPR: A collaborative exploration and periodically returning model for location prediction
With the growing popularity of location-based social networks, numerous location visiting
records (eg, check-ins) continue to accumulate over time. The more these records are …
records (eg, check-ins) continue to accumulate over time. The more these records are …