A comprehensive survey of scene graphs: Generation and application
Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …
attributes, and relationships between objects in the scene. As computer vision technology …
EAGCN: An efficient adaptive graph convolutional network for item recommendation in social Internet of Things
In the era of Internet of Things (IoT), intelligent recommendation is playing an important role
in our daily life. How to provide personalized information to users is the core concern of …
in our daily life. How to provide personalized information to users is the core concern of …
Social Recommendation for Social Networks Using Deep Learning Approach: A Systematic Review, Taxonomy, Issues, and Future Directions
Due to the rise of social media, a vast volume of information is shared daily. Finding relevant
and acceptable information has become more challenging as the Internet's information flow …
and acceptable information has become more challenging as the Internet's information flow …
[HTML][HTML] Crowd characterization for crowd management using social media data in city events
Large-scale events are becoming more frequent in contemporary cities, increasing the need
for novel methods and tools that can provide relevant stakeholders with quantitative and …
for novel methods and tools that can provide relevant stakeholders with quantitative and …
An improved cat swarm search-based deep ensemble learning model for group recommender systems
Recommender systems are often employed in different fields such as music, travel, and
movies. The recommender systems are broadly utilised nowadays due to the emergence of …
movies. The recommender systems are broadly utilised nowadays due to the emergence of …
A survey of context-aware recommendation schemes in event-based social networks
X Huang, G Liao, N Xiong, AV Vasilakos, T Lan - Electronics, 2020 - mdpi.com
In recent years, Event-based social network (EBSN) applications, such as Meetup and
DoubanEvent, have received popularity and rapid growth. They provide convenient online …
DoubanEvent, have received popularity and rapid growth. They provide convenient online …
Social recommendation for social networks using deep learning approach: a systematic review
The increasing popularity of social networks indicates that the vast amounts of data
contained within them could be useful in various implementations, including …
contained within them could be useful in various implementations, including …
A Task-Oriented Deep Learning Approach for Human Localization
Radio-based human sensing has attracted substantial research attention due to its wide
range of applications, including e-healthcare monitoring, indoor security, and industrial …
range of applications, including e-healthcare monitoring, indoor security, and industrial …
Cross Domain Recommendation Systems using Deep Learning: A Systematic Literature Review
AK Gahier, SK Gujral - Proceedings of the International Conference …, 2021 - papers.ssrn.com
Recommender Systems play an inevitable role nowadays as in every field, there are
plethora of choices to consider. With the advent of more and more Artificial Intelligence and …
plethora of choices to consider. With the advent of more and more Artificial Intelligence and …
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs
B Liang, X Meng, Y Zhang - ACM Transactions on Information Systems, 2023 - dl.acm.org
Location-based social networks (LBSNs) have become a popular platform for users to share
their activities with friends and families, which provide abundant information for us to study …
their activities with friends and families, which provide abundant information for us to study …