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 …
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 …
Geosocial co-clustering: A novel framework for geosocial community detection
As location-based services using mobile devices have become globally popular these days,
social network analysis (especially, community detection) increasingly benefits from …
social network analysis (especially, community detection) increasingly benefits from …
MobiFeed: A location-aware news feed framework for moving users
A location-aware news feed system enables mobile users to share geo-tagged user-
generated messages, eg, a user can receive nearby messages that are the most relevant to …
generated messages, eg, a user can receive nearby messages that are the most relevant to …
An aging resilient neural network architecture
Recent artificial neural network architectures use memristors to store synaptic weights. The
crossbar structure of memristors is used because of its dense structure and extreme …
crossbar structure of memristors is used because of its dense structure and extreme …
Who wants to join me? Companion recommendation in location based social networks
We consider the problem of identifying possible companions for a user who is planning to
visit a given venue. Specifically, we study the task of predicting which of the user's current …
visit a given venue. Specifically, we study the task of predicting which of the user's current …
Point-of-interest recommendations: capturing the geographical influence from local trajectories
Y Shi, W Jiang - 2017 IEEE International symposium on parallel …, 2017 - ieeexplore.ieee.org
Location-based social networks (LBSNs) provides rich information for Point-of-Interest (POI)
recommendation. Previous researches tend to capture the geographical influence from the …
recommendation. Previous researches tend to capture the geographical influence from the …
Preference-aware community detection for item recommendation
In recent years, researches on recommendation systems based on social information have
attracted a lot of attentions. Although a number of social-based recommendation techniques …
attracted a lot of attentions. Although a number of social-based recommendation techniques …
Improving recommender systems with rich side information
C Zhang - 2015 - summit.sfu.ca
Recommender systems have become extremely popular in recent years since they can
provide personalized information to user from a large amount of data, which is typically noisy …
provide personalized information to user from a large amount of data, which is typically noisy …
Geosocialrec: Explaining recommendations in location-based social networks
P Symeonidis, A Krinis, Y Manolopoulos - East European Conference on …, 2013 - Springer
Social networks have evolved with the combination of geographical data, into location-
based social networks (LBSNs). LBSNs give users the opportunity, not only to communicate …
based social networks (LBSNs). LBSNs give users the opportunity, not only to communicate …