We review several of our favorite results of the last several years.

On the subject of broadcasting information, finding someone’s favorite book or movie in a sea data containing books and movies has become crucial issue. In an era when there are so many genres types books, customer may find it difficult to choose which discover first place. Thus, personalized recommendation systems play important role because value that is attributed nowadays, considering from ...

In this study, a content-based recommendation approach is proposed. It utilizes the preprocessed 245 top movie summaries of IMDB and favorite genres user elicited with questionnaire method then, recommends potential products -from product pool- that can “like”. For testing; test dataset consists real from Amazon.com was created, Web application uses proposed leads users to evaluate results desi...

Weighted bipartite b-matching (WBM) is one of the fundamental and widely studied problems in combinatorial optimization. Given a weighted bipartite graph G = (U, V,E) with weights W : E → R, where U , V and E represent left vertices, right vertices and edges, respectively, the weighted bipartite b-matching problem (WBM) is to find a subgraph H ⊆ G with maximum total weight w(H) = ∑ e∈H w(e), su...

Online education has a long-standing tradition in academia, and yet online programming remains a relatively undeveloped area in the computing education literature. This is in sharp contrast with in-person programming courses, which have been a favorite subject of study in computing education. Research into teaching on-site programming is so extensive that numerous practices have emerged and are...

At first sight, “TRIANGLE” appears to be just another piece of learning software but it is much more than this, it is an experimental test-bed for examining motivational factors in computer based training. Such a multi-media application derives its power of attraction from the quality of the interface design and the multi-medial content. Used as a trial on a defined target group of K12-students...

R ecommendation algorithms are best known for their use on e-commerce Web sites,1 where they use input about a customer’s interests to generate a list of recommended items. Many applications use only the items that customers purchase and explicitly rate to represent their interests, but they can also use other attributes, including items viewed, demographic data, subject interests, and favorite...

Especially suitable for the modeling and simulation of technical systems in a wider sense, discreteevent simulation is one of the most important and most versatile tools of the craft. Both students and practitioners should be familiar with its principles and mechanics, in particular if they are interested to look beyond their favorite modeling tool’s GUI. This paper presents a short tutorial on...

the visual content of movies is essential for annotation. We present the interactive and adaptive i-Notation system, which describes actors’ names, automatically processes multimodal information sources, and deals with available sources’ varying quality. It provides the basis for intelligent interaction and demonstrates significant improvements in annotation efficiency. W ith the advance of dig...

The β-globin disorders β-thalassemia and sickle cell disease have been at the forefront of gene therapy development from its very inception. Owing to their frequency, severity and exceptionally well characterized molecular pathology, and to the availability of hematopoietic stem and progenitor cells as substrate for therapies, these disorders promise both fast insights into new methodologies an...