Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
: Coping with complex and dynamic environments forces companies to invest in the resource knowledge for the maintenance of their operational reliability; they have to create and to...
End-user programming provides a unique opportunity to study informal computer science education and knowledge acquisition in the real world. We seek to explore the use of communit...