Alexandros Karatzoglou

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Staff Research Scientist at Google Deepmind Research on Machine Learning for Recommender Systems. I’m also the author of kernlab, a fairly popular open source Machine Learning package for R. Used to teach courses on “Deep Learning” and “Computational Machine Learning” at the Graduate School of Economics Masters Course in Data Science in Barcelona and at the GSE Data Science Summer School.Screen Shot 2016-06-13 at 09.46.37l-cBrf_6 Received my PhD in Machine Learning from the Vienna University of Technology, while also being a frequent visitor at the Statistical Machine Learning group at NICTA in Canberra, Australia.

recommender systems collaborative filtering machine learning ranking deep learning information retrieval diversity app recommendation context context-aware methods collaborative f #recsys2013 learning to rank restricted botzmann machines matrix factorization classification dimensionality reduction regression recsys2012 ranking learning recommendation dublin svm clustering decision trees pca r

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Alexandros Karatzoglou

Deep Learning for Recommender Systems RecSys2017 Tutorial

Deep Learning for Recommender Systems - Budapest RecSys Meetup

Machine Learning for Recommender Systems MLSS 2015 Sydney

Ranking and Diversity in Recommendations - RecSys Stammtisch at SoundCloud, Berlin

Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial

ESSIR 2013 Recommender Systems tutorial

Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering

TFMAP: Optimizing MAP for Top-N Context-aware Recommendation

CLiMF: Collaborative Less-is-More Filtering

Machine Learning in R