The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
Matias Salibian-Barrera, Stefan Van Aelst, Gert Wi...
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many f...
Most recommendation methods are `hard-wired' into the system and they support only fixed recommendations. The purpose of this demo is to show the expressivity of flexible reco...
Georgia Koutrika, Benjamin Bercovitz, Robert Ikeda...
Application of hybrid recommendation enables overcoming disadvantages of the basic recommendation methods: demographic, collaborative and content-based. In this paper the two cons...
Providing justification to a recommendation gives credibility to a recommender system. Some recommender systems (Amazon.com etc.) try to explain their recommendations, in an eff...