Abstract Facial Expression Recognition (FER) has achieved remarkable progress as a result
of using Convolutional Neural N etworks (CNN). Relying on the spatial locality …

Deep neural network (DNN) has been used as a learning model for modeling the
hierarchical architecture of human brain. However, DNN suffers from problems of learning …

Facial expression recognition (FER) tasks with convolutional neural networks (CNNs) have
seen remarkable progress. However, these CNN-based approaches do not well capture …

Personalized movie summarization is demand of the current era due to an exponential
growth in movies production. The employed methods for movies summarization fail to satisfy …

The human face is among the most significant objects in an image or video, it contains many
important information and specifications, also is required to be the cause of almost all …

Recommender systems are decision aids that offer users personalized suggestions for
products and other items. Context-aware recommender systems are an important subclass …

Users of a recommender system may be requested to express their preferences about items
either with evaluations of items (eg a rating) or with comparisons of item pairs. In this work …

The explosive growth of digital video data renders a profound challenge to succinct,
informative, and human-centric representations of video contents. This quickly-evolving …

A significant problem in the field of higher education is maintaining learners' attention during
lectures, which is known to significantly affect their learning outcomes. Attention …

In this paper we survey the work on the usage of personality and emotions in recommender
systems. Recommender systems are designed to support humans making better decisions …