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 …
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 recommendation based on periodicity of human activities and location categories
Location recommendation is a popular service for location-based social networks. This
service suggests unvisited sites to the users based on their visiting history and site …
service suggests unvisited sites to the users based on their visiting history and site …
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 …
Spatial topic modeling in online social media for location recommendation
Mobile networks enable users to post on social media services (eg, Twitter) from anywhere.
The activities of mobile users involve three major entities: user, post, and location. The …
The activities of mobile users involve three major entities: user, post, and location. The …
[PDF][PDF] Exploring the context of locations for personalized location recommendations.
Conventional location recommendation models rely on users' visit history, geographical
influence, temporal influence, etc., to infer users' preferences for locations. However …
influence, temporal influence, etc., to infer users' preferences for locations. However …
Mining geographic knowledge using location aware topic model
Most online activities are associated with geographical locations. For example, people write
personal blogs about interesting places they have ever been to; read news about important …
personal blogs about interesting places they have ever been to; read news about important …
Learning geographical preferences for point-of-interest recommendation
The problem of point of interest (POI) recommendation is to provide personalized
recommendations of places of interests, such as restaurants, for mobile users. Due to its …
recommendations of places of interests, such as restaurants, for mobile users. Due to its …
Location recommendation by combining geographical, categorical, and social preferences with location popularity
The primary aim of location recommendation is to predict users' future movement by
modeling user preference. Multiple types of information have been adopted in profiling …
modeling user preference. Multiple types of information have been adopted in profiling …
A location-sentiment-aware recommender system for both home-town and out-of-town users
Spatial item recommendation has become an important means to help people discover
interesting locations, especially when people pay a visit to unfamiliar regions. Some current …
interesting locations, especially when people pay a visit to unfamiliar regions. Some current …