Industrial internet of things-based collaborative sensing intelligence: framework and research challenges
Y Chen, GM Lee, L Shu, N Crespi - Sensors, 2016 - mdpi.com
The development of an efficient and cost-effective solution to solve a complex problem (eg,
dynamic detection of toxic gases) is an important research issue in the industrial …
dynamic detection of toxic gases) is an important research issue in the industrial …
Trip recommendation meets real-world constraints: POI availability, diversity, and traveling time uncertainty
C Zhang, H Liang, K Wang - ACM Transactions on Information Systems …, 2016 - dl.acm.org
As location-based social network (LBSN) services become increasingly popular, trip
recommendation that recommends a sequence of points of interest (POIs) to visit for a user …
recommendation that recommends a sequence of points of interest (POIs) to visit for a user …
A unified point-of-interest recommendation framework in location-based social networks
C Cheng, H Yang, I King, MR Lyu - ACM Transactions on Intelligent …, 2016 - dl.acm.org
Location-based social networks (LBSNs), such as Gowalla, Facebook, Foursquare,
Brightkite, and so on, have attracted millions of users to share their social friendship and …
Brightkite, and so on, have attracted millions of users to share their social friendship and …
POI recommendation through cross-region collaborative filtering
C Zhang, K Wang - Knowledge and Information Systems, 2016 - Springer
Recommending points of interest (POIs) to a user according to the user's current location
and past check-in activities is the focus in this paper. Previously proposed probabilistic and …
and past check-in activities is the focus in this paper. Previously proposed probabilistic and …
Context-aware location recommendation by using a random walk-based approach
H Bagci, P Karagoz - Knowledge and Information Systems, 2016 - Springer
The location-based social networks (LBSN) enable users to check in their current location
and share it with other users. The accumulated check-in data can be employed for the …
and share it with other users. The accumulated check-in data can be employed for the …
Readme: A real-time recommendation system for mobile augmented reality ecosystems
D Chatzopoulos, P Hui - Proceedings of the 24th ACM international …, 2016 - dl.acm.org
We introduce ReadMe, a real-time recommendation system (RS) and an online algorithm for
Mobile Augmented Reality (MAR) ecosystems. A MAR ecosystem is the one that contains …
Mobile Augmented Reality (MAR) ecosystems. A MAR ecosystem is the one that contains …
Interest aware location-based recommender system using geo-tagged social media
B AlBanna, M Sakr, S Moussa, I Moawad - ISPRS International Journal of …, 2016 - mdpi.com
Advances in location acquisition and mobile technologies led to the addition of the location
dimension to Social Networks (SNs) and to the emergence of a newer class called Location …
dimension to Social Networks (SNs) and to the emergence of a newer class called Location …
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) …
Location-recommendation-aware virtual network embedding in energy-efficient optical-wireless hybrid networks supporting 5G models
X Gong, Z Ning, L Guo, X Wei, Q Song - IEEE Access, 2016 - ieeexplore.ieee.org
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 …
Urban computing using call detail records: mobility pattern mining, next-location prediction and location recommendation
Y Leng - 2016 - dspace.mit.edu
Urban computing fuses computer science with other fields, such as transportation, in the
context of urban spaces by connecting ubiquitous sensing technologies, analytical models …
context of urban spaces by connecting ubiquitous sensing technologies, analytical models …