Alexandros Karatzoglou

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Staff Research Scientist at Google in London. 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

Präsentationen

Machine Learning in R

CLiMF: Collaborative Less-is-More Filtering

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

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

ESSIR 2013 Recommender Systems tutorial

Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial

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

Machine Learning for Recommender Systems MLSS 2015 Sydney

Deep Learning for Recommender Systems - Budapest RecSys Meetup

Deep Learning for Recommender Systems RecSys2017 Tutorial

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Tutorial on Sequence Aware Recommender Systems - ACM RecSys 2018

NIPS 2016 Highlights - Sebastian Ruder

kaggle_meet_up

Deep learning to the rescue - solving long standing problems of recommender systems

Estratègia de la bicicleta

Large-scale graph processing with Apache Flink @GraphDevroom FOSDEM'15

Deep Learning through Examples

Algorithmic Music Recommendations at Spotify

Tutorial on People Recommendations in Social Networks - ACM RecSys 2013,Hong Kong

You Suck At PowerPoint!

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