Tour recommendation and trip planning using location-based social media: A survey
Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …
around the world. One important task for tourists is to plan and schedule tour itineraries that …
Clustering users by their mobility behavioral patterns
The immense stream of data from mobile devices during recent years enables one to learn
more about human behavior and provide mobile phone users with personalized services. In …
more about human behavior and provide mobile phone users with personalized services. In …
Leveraging multi-aspect time-related influence in location recommendation
Abstract Point-Of-Interest (POI) recommendation aims to mine a user's visiting history and
find her/his potentially preferred places. Although location recommendation methods have …
find her/his potentially preferred places. Although location recommendation methods have …
Personalized location recommendation using mobile phone usage information
Location recommendation has become a hot research area in recent years. The cold-start
problem is still a great challenge in personalized location recommendation, which makes it …
problem is still a great challenge in personalized location recommendation, which makes it …
Personalized visited-poi assignment to individual raw GPS trajectories
Knowledge discovery from GPS trajectory data is an essential topic in several scientific
areas, including data mining, human behavior analysis, and user modeling. This article …
areas, including data mining, human behavior analysis, and user modeling. This article …
Deep potential geo-social relationship mining for point-of-interest recommendation
Point-of-Interest (POI) recommendation has been an important research topic in data mining
and the popularity of location-based social networks (LBSNs) has significantly contributed to …
and the popularity of location-based social networks (LBSNs) has significantly contributed to …
Deriving user-and content-specific rewards for contextual bandits
Bandit algorithms have gained increased attention in recommender systems, as they
provide effective and scalable recommendations. These algorithms use reward functions …
provide effective and scalable recommendations. These algorithms use reward functions …
UFC: a unified POI recommendation framework
J Zhou, B Liu, Y Chen, F Lin - Arabian journal for science and engineering, 2019 - Springer
With the popularity of location-based social networks, personalized points-of-interest (POIs)
recommendation has become an essential online service, providing a wide variety of user …
recommendation has become an essential online service, providing a wide variety of user …
A classifying ubiquitous clinic recommendation approach for forming patient groups and recommending suitable clinics
TCT Chen, MC Chiu - Computers & Industrial Engineering, 2019 - Elsevier
Existing ubiquitous clinic recommendation systems assume that patients' preferences are
alike and thus apply the same recommendation mechanism to all mobile patients. However …
alike and thus apply the same recommendation mechanism to all mobile patients. However …
Integrating geographical and temporal influences into location recommendation: a method based on check-ins
In the online-to-offline (O2O) business model, location recommendation plays an important
role and is an essential component of the location-based services. The check-in data, which …
role and is an essential component of the location-based services. The check-in data, which …