Data-driven systems such as the Hint Factory have been successful at providing student guidance by extracting procedural hints from prior user data. However, when only small amounts of data are available, it may be unable to do so. We present a novel hint-selection algorithm for coherent derivational domains, such as probability, which addresses this problem by searching a frontier of viable, p...

Cold atomic gases placed in optical lattice potentials offer a unique tool to study simple tight binding models. Both the standard cases known from the condensed matter theory as well as novel situations may be addressed. Cold atoms setting allows for a precise control of parameters of the systems discussed, stimulating new questions and problems. The attempts to treat disorder in a controlled ...

Web-based catch-up TV services allow users to watch programs at their favoured time and device and are revolutionizing the existing TV watching habits. With the increasing offer and demand for catch-up TV, it has become evident that there is a need for personalised recommendations that will help users to pick programs of interest from a large collection of available content. In order to mitigat...

The existing music recommendation systems rely on user’s contexts or content analysis to satisfy the users’ music playing needs. They achieved a certain degree of success and inspired future researches to get more progress. However, a cold start problem and the limitation to the similar music have been pointed out. Therefore, this paper proposes a unique recommendation method using a ‘renso’ al...