: Internet-based distance learning programs make it possible for technical communicators located anywhere in the world to participate in graduate courses in their field. But are th...
Context aware recommender systems (CARS) adapt to the specific situation in which the recommended item will be consumed. So, for instance, music recommendations while the user is ...
Linas Baltrunas, Marius Kaminskas, Bernd Ludwig, O...
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
This paper reports on extensions to a decision-theoretic location-aware shopping guide and on the results of user studies that have accompanied its development. On the basis of the...
Thorsten Bohnenberger, Oliver Jacobs, Anthony Jame...
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...