This paper discusses the valuable role recommender systems may play in cybersecurity.
First, a comprehensive presentation of recommender system types is presented, as well as …

In this era of big data, the amount of video content has dramatically increased with an
exponential broadening of video streaming services. Hence, it has become very strenuous …

Abstract Internet of Things (IoT) has enhanced the appearance of the information and
communications technology (ICT) infrastructure of smart sustainable cities that emerge as a …

The extraordinary technological progress we have witnessed in recent years has made it
possible to generate and exchange multimedia content at an unprecedented rate. As a …

One of the most important challenge in the information access field is information overload.
To cope with this problem, in this paper, we present a strategy for a semantic multimedia …

Time series forecasting is a challenging task, where the non-stationary characteristics of the
data portrays a hard setting for predictive tasks. A common issue is the imbalanced …

Collaborative filtering has become one of the most widely used methods for a variety of
commercial recommendations. The key to collaborative filtering is use similarity calculation …

Social networks provide rich new types of data that promise to personalize and improve
Recommender Systems. One promising type of data extracted from social networks is …

This study tackles the issue of poor user experience in video recommendation systems,
primarily caused by the scarcity of user ratings and the inaccuracy of existing …

Recommendation systems are systems developed to advise users on the most accurate
product, especially on e-commerce sites, movie viewing platforms, and music listening …