For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
Recommendationsystems makesuggestions about artifacts to a user. For instance, they maypredict whether a user wouldbe interested in seeing a particular movie. Social recomendation...
With the aid of mobile technology, it’s possible to carry out collaborative learning (CL) in any places at any time. And the most essential and effective way to achieve this goa...
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
We present a universal mechanism that can be combined with existing trust models to extend their capabilities towards efficient modelling of the situational (contextdependent) tr...