— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Recommender systems are widely used in many areas, especially in e-commerce. Recently, they are also applied in e-learning tasks such as recommending resources (e.g. papers, books...
Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimb...
— Cooperation amongst heterogeneous mobile radio systems will be an indispensable feature of ‘beyond 3G’. One key mechanism thereby serving as enabling technique for system i...
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Recommender systems have been developed to address the abundance of choice we face in taste domains (films, music, restaurants) when shopping or going out. However, consumers curr...
Philip Bonhard, Clare Harries, John D. McCarthy, M...