Abstract As the world changes, so does the future of our students. In this respect, the evolution of the technology comes up with specific environments for educational purpose. Building smart learning environments supported by e-learning platforms is an important area of research in education domain within our days. The evolution of these smart learning…
Abstract Recommendation Systems are powerful tools generating relevant suggestions for customers, as support in the decision-making process. The most sensitive step in the recommendation process is the choice of the similarity measure. The goal of this article is to present a detailed analysis of similarity measures applied to memory-based collaborative filtering techniques. Several experiments…
Abstract Recommendation Systems are tools that interpret the users’ preferences in an attempt to generate fitting suggestions. Studies in this domain of research tend to conclude that the numerical user ratings are not powerful enough to truly express the users’ preferences. The best way to overcome this is by extending the analysis to other…
Abstract The Twitter platform is one of the most popular social media environments that gathers concise messages regarding the topics of the moment expressed by its users. Processing sentiments from tweets is a challenging task due to the natural language complexity, misspelling and short forms of words. The goal of this article is to…
Abstract Properties of complex networks represent a powerful set of tools that can be used to study the complex behaviour of these systems of interconnections. They can vary from properties represented as simplistic metrics (number of edges and nodes) to properties that reflect complex information of the connection between entities part of the network…
Abstract Complex networks are data structures with great importance in representing real world interactions which surrounds us. While their structures might look chaotic at a first glance, the focus of most on-going studies in this field is in understanding how their topological properties influence the dynamics of a complex network’s structure in order to…
Abstract Complex networks are powerful mechanisms one can use to model real-world networks as topological spaces. The beauty of these structures is provided by the infinite degree of analysis one is allowed to do using them. Biologically it is almost impossible for the human mind to comprehend the behaviour of these systems, but when…
Abstract Network motifs bring a great interest to many fields, because they are a perfect candidate to speed up the applied research in the understanding of complex networks dynamics. One of the biggest problems raised in the process of finding these motifs is the performance. Starting from splitting the initial network into subgraphs to…