Search
Now showing items 1-4 of 4
-
Multi-modal matrix factorization with side information for recommending massive open online courses
(2019)Massive open online courses (MOOCs) have recently gained a huge users’ attention on the Web. They are considered as a highly promising form of teaching from leading universities such as Stanford and Berkeley. However, users ... -
Personalised Novel and Explainable Matrix Factorization
(2019)Recommendation systems personalise suggestions to individuals to help them in their decision making and exploration tasks. In the ideal case, these recommendations, besides of being accurate, should also be novel and ... -
Counteracting the filter bubble in recommender systems: Novelty-aware matrix factorization
(2019)The search for unfamiliar experiences and novelty is one of the main drivers behind all human activities, equally important with harm avoidance and reward dependence. A recommender system personalizes suggestions to ... -
Improving Time-aware Recommendations in Open Source Packages
(2019)Collaborative filtering techniques have been studied extensively during the last decade. Many open source packages (Apache Mahout, LensKit, MyMediaLite, rrecsys etc.) have implemented them, but typically the top-N ...