Cybersecurity, as a crucial aspect of the information society, requires significant attention.
Fortunately, the concept of trust, originating from the field of sociology, has been under …

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 …

Recommender systems become essential with the presence of the internet and social
media. The perceived benefits of the recommender system can make it easier for users to …

A recommender system (RS) is a data filtering technique that suggests the appropriate
information to the end-user. Collaborative filtering is the most frequently deployed algorithm …

Emotion recognition is a technology that enables computers to recognize and interpret
human emotions by analyzing facial expressions, voice, text or physiological signals. It finds …

With the ever‐increasing use of Internet and social networks that generate a vast amount of
information, there is a serious need for recommendation systems. In this article, we propose …

Edge caching has been a research hotspot of the Mobile Edge Computing (MEC) in recent
years, which is an effective way to ease the burden of traffic in cellular networks. It places …

Abstract An efficient Cluster Based Cab Recommender System (CBCRS) assists the cab
drivers with the recommendations about passenger pickup location available at the shortest …

Travel recommendation agents have been a helpful tool for travelers in their decision‐
making for destination choices. It has been shown that sparsity can significantly impact on …

The recommender system is the key approach to alleviate the data explosion problem.
Recently, with the rapid development of deep learning, there are several researches of …