The accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item rating...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Abstract. In this paper, we present an approach for supporting spatial awareness in an intelligent tutoring system, the purpose of which is to train astronauts to operating tasks o...
As the importance of recommender systems increases, in combination with the explosion in data available over the internet and in our own digital libraries, we suggest an alternativ...
Christoph Bartneck, Philomena Athanasiadou, Takayu...
Result diversification has recently attracted much attention as a means of increasing user satisfaction in recommender systems and web search. Many different approaches have been ...