Semi-supervised user geolocation via graph convolutional networks
Social media user geolocation is vital to many applications such as event detection. In this
paper, we propose GCN, a multiview geolocation model based on Graph Convolutional …
paper, we propose GCN, a multiview geolocation model based on Graph Convolutional …
Cloud storage as the infrastructure of cloud computing
J Wu, L Ping, X Ge, Y Wang, J Fu - … International conference on …, 2010 - ieeexplore.ieee.org
As an emerging technology and business paradigm, Cloud Computing has taken
commercial computing by storm. Cloud computing platforms provide easy access to a …
commercial computing by storm. Cloud computing platforms provide easy access to a …
An overview of microblog user geolocation methods
X Luo, Y Qiao, C Li, J Ma, Y Liu - Information processing & management, 2020 - Elsevier
Geographical locations of microblog users are essential for user profiling, event localization
and target advertising, to name a few. Automatic identification of user locations from the …
and target advertising, to name a few. Automatic identification of user locations from the …
[HTML][HTML] CovidSens: a vision on reliable social sensing for COVID-19
With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming
inherently important to disseminate accurate and timely information about the disease. Due …
inherently important to disseminate accurate and timely information about the disease. Due …
A distributed frequent itemset mining algorithm using Spark for Big Data analytics
Frequent itemset mining is an essential step in the process of association rule mining.
Conventional approaches for mining frequent itemsets in big data era encounter significant …
Conventional approaches for mining frequent itemsets in big data era encounter significant …
Twitter user geolocation based on heterogeneous relationship modeling and representation learning
Y Qiao, X Luo, J Ma, M Zhang, C Li - Information Sciences, 2023 - Elsevier
Twitter user geolocation has been garnering considerable attention from academia. Due to
the complexity of the Twitter data, the user geolocation performance is limited for some user …
the complexity of the Twitter data, the user geolocation performance is limited for some user …
Group-based latent dirichlet allocation (group-lda): Effective audience detection for books in online social media
Most current book recommendation and marketing strategies in online social media are
implemented by creating topics or posting advertisements for the brand. They do not …
implemented by creating topics or posting advertisements for the brand. They do not …
Social ties and checkin sites: Connections and latent structures in Location Based Social Networks
Location Based Social Networks (LBSNs) integrate location-based facilities with social
connectivity for delivering a variety of services, enhancing user experience …
connectivity for delivering a variety of services, enhancing user experience …
Behavior prediction using an improved Hidden Markov Model to support people with disabilities in smart homes
Smart environment has been evolved as a hot research topic with the development of
machine learning algorithms and wireless communication technologies. Existing smart …
machine learning algorithms and wireless communication technologies. Existing smart …
An adaptive scheduling algorithm for heterogeneous Hadoop systems
J Han, Z Yuan, Y Han, C Peng, J Liu… - 2017 IEEE/ACIS 16th …, 2017 - ieeexplore.ieee.org
The MapReduce framework and its open source implementation Hadoop have established
themselves as one of the most polular large data sets analyzers. They are widely used by …
themselves as one of the most polular large data sets analyzers. They are widely used by …