In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …

Most recent works on sentiment analysis have exploited the text modality. However, millions
of hours of video recordings posted on social media platforms everyday hold vital …

Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …

Abstract Knowledge graphs (KGs) have proven to be effective for high-quality
recommendation, where the connectivities between users and items provide rich and …

Abstract Quality of Service (QoS) prediction and privacy preservation are two key challenges
in service recommendation. Nevertheless, the existing QoS prediction methods cannot be …

Researchers face millions of research papers on various digital libraries. Therefore, finding
relevant research work that meets the preferences of a researcher is a challenging task …

The purpose of this study is to provide a comprehensive overview of the latest developments
in the field of recommender systems. In order to provide an overview of the current state of …

Automated essay scoring is one of the most exciting tasks in natural language processing,
reducing massive workloads and speeding up the learning process and its effectiveness …

Abstract In Recommendation Systems (RS) and Collaborative Filtering (CF), the similarity
measures have been the operating component upon which CF performance is essentially …

We propose a recommender system that, starting from a set of users' skills, identifies the
most suitable jobs as they emerge from a large dataset of Online Job Vacancies (OJVs). To …