Privacy for 5G-supported vehicular networks
Vehicular networks allow billions of vehicular users to be connected to report and exchange
real-time data for offering various services, such as navigation, ride-hailing, smart parking …
real-time data for offering various services, such as navigation, ride-hailing, smart parking …
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 …
Autonomous place naming system using opportunistic crowdsensing and knowledge from crowdsourcing
A user's location information is commonly used in diverse mobile services, yet providing the
actual name or semantic meaning of a place is challenging. Previous works required …
actual name or semantic meaning of a place is challenging. Previous works required …
Point-of-interest recommendation using temporal orientations of users and locations
S Hosseini, LT Li - Database Systems for Advanced Applications: 21st …, 2016 - Springer
Abstract Location Based Social Networks (LBSN) promotes communications among
subscribers. Utilizing online check-in data supplied via LBSN, Point-Of-Interest (POI) …
subscribers. Utilizing online check-in data supplied via LBSN, Point-Of-Interest (POI) …
ST-SAGE: A spatial-temporal sparse additive generative model for spatial item recommendation
With the rapid development of location-based social networks (LBSNs), spatial item
recommendation has become an important mobile application, especially when users travel …
recommendation has become an important mobile application, especially when users travel …
Exploiting spatial and temporal for point of interest recommendation
An increasing number of users have been attracted by location‐based social networks
(LBSNs) in recent years. Meanwhile, user‐generated content in online LBSNs like spatial …
(LBSNs) in recent years. Meanwhile, user‐generated content in online LBSNs like spatial …
Anomaly detection from incomplete data
Anomaly detection (aka, outlier or burst detection) is a well-motivated problem and a major
data mining and knowledge discovery task. In this article, we study the problem of …
data mining and knowledge discovery task. In this article, we study the problem of …
[PDF][PDF] An enhanced travel package recommendation system based on location dependent social data
CA Reddy… - Indian Journal …, 2015 - sciresol.s3.us-east-2.amazonaws …
Location based social networking systems add location as main dimension to the social
connections which gives necessities for personalized location recommendations. Travel …
connections which gives necessities for personalized location recommendations. Travel …
Location-recommendation-aware virtual network embedding in energy-efficient optical-wireless hybrid networks supporting 5G models
Given the possibility of ubiquitous 5G wireless access, location data bridge the gap between
the physical world and digital online social networking services and also reflect user …
the physical world and digital online social networking services and also reflect user …
-in-One: A Novel Location-Based Service
Location-based services (LBSs) are becoming an increasingly important component in our
social and business life. All existing LBS providers support the nearest place searching via a …
social and business life. All existing LBS providers support the nearest place searching via a …