Deep Learning Driven Venue Recommender for Event-Based Social Networks

2020 ◽  
Vol 32 (11) ◽  
pp. 2129-2143 ◽  
Author(s):  
Soumajit Pramanik ◽  
Rajarshi Haldar ◽  
Anand Kumar ◽  
Sayan Pathak ◽  
Bivas Mitra
Keyword(s):  
Social Networks ◽  
Deep Learning ◽  
Event Based

Joint Event-Partner Recommendation in Event-Based Social Networks

2018 ◽  
Author(s):  
Hongzhi Yin ◽  
Lei Zou ◽  
Quoc Viet Hung Nguyen ◽  
Zi Huang ◽  
Xiaofang Zhou
Keyword(s):  
Social Networks ◽  
Joint Event ◽  
Event Based

scholarly journals DeepOSN: Bringing deep learning as malicious detection scheme in online social network

2020 ◽  
Vol 9 (1) ◽  
pp. 146
Author(s):  
Putra Wanda ◽  
Marselina Endah Hiswati ◽  
Huang J. Jie
Keyword(s):  
Social Networks ◽  
Computer Vision ◽  
Deep Learning ◽  
Online Social Networks ◽  
Link Prediction ◽  
Online Social Network ◽  
Detection Scheme ◽  
Malicious Activity ◽  
Manual Analysis ◽  
Learning Techniques

Manual analysis for malicious prediction in Online Social Networks (OSN) is time-consuming and costly. With growing users within the environment, it becomes one of the main obstacles. Deep learning is growing algorithm that gains a big success in computer vision problem. Currently, many research communities have proposed deep learning techniques to automate security tasks, including anomalous detection, malicious link prediction, and intrusion detection in OSN. Notably, this article describes how deep learning makes the OSN security technique more intelligent for detecting malicious activity by establishing a classifier model.

Event Participation Recommendation in Event-Based Social Networks

2016 ◽  
pp. 361-375 ◽  
Author(s):  
Hao Ding ◽  
Chenguang Yu ◽  
Guangyu Li ◽  
Yong Liu
Keyword(s):  
Social Networks ◽  
Event Based
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