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kernlab is an R package providing kernel-based machine learning functionality. It is designed to provide tools for kernel algorithm development but also includes a range of popular machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensio ...

Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful learning approach to this task and has been recently extended to structured ranking losses. In this paper we discuss a number of exten ...