Alexandros Karatzoglou

259 Followers

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10 SlideShares 0 Clipboards 259 Followers 0 Followings

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.

Machine Learning in R

12 years ago • 16135 Views

CLiMF: Collaborative Less-is-More Filtering

10 years ago • 2253 Views

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

9 years ago • 1086 Views

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

9 years ago • 2586 Views

ESSIR 2013 Recommender Systems tutorial

9 years ago • 9621 Views

Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial

9 years ago • 33836 Views

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

8 years ago • 3268 Views

Machine Learning for Recommender Systems MLSS 2015 Sydney

7 years ago • 10366 Views

Deep Learning for Recommender Systems - Budapest RecSys Meetup

6 years ago • 7333 Views

Deep Learning for Recommender Systems RecSys2017 Tutorial

5 years ago • 31864 Views

Tutorial on Sequence Aware Recommender Systems - ACM RecSys 2018

Massimo Quadrana • 4 years ago

NIPS 2016 Highlights - Sebastian Ruder

Sebastian Ruder • 6 years ago

Marios Michailidis • 6 years ago

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

Balázs Hidasi • 6 years ago

Estratègia de la bicicleta

Ajuntament de Barcelona • 7 years ago

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

Vasia Kalavri • 7 years ago

Deep Learning through Examples

Sri Ambati • 8 years ago

Algorithmic Music Recommendations at Spotify

Chris Johnson • 9 years ago

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

Anmol Bhasin • 9 years ago

You Suck At PowerPoint!

Jesse Desjardins - @jessedee • 10 years ago

Big data Big Analytics

Ajay Ohri • 10 years ago

Activity
About

Machine Learning in R

12 years ago • 16135 Views

CLiMF: Collaborative Less-is-More Filtering

10 years ago • 2253 Views

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

9 years ago • 1086 Views

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

9 years ago • 2586 Views

ESSIR 2013 Recommender Systems tutorial

9 years ago • 9621 Views

Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial

9 years ago • 33836 Views

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

8 years ago • 3268 Views

Machine Learning for Recommender Systems MLSS 2015 Sydney

7 years ago • 10366 Views

Deep Learning for Recommender Systems - Budapest RecSys Meetup

6 years ago • 7333 Views

Deep Learning for Recommender Systems RecSys2017 Tutorial

5 years ago • 31864 Views

Tutorial on Sequence Aware Recommender Systems - ACM RecSys 2018

Massimo Quadrana • 4 years ago

NIPS 2016 Highlights - Sebastian Ruder

Sebastian Ruder • 6 years ago

Marios Michailidis • 6 years ago

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

Balázs Hidasi • 6 years ago

Estratègia de la bicicleta

Ajuntament de Barcelona • 7 years ago

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

Vasia Kalavri • 7 years ago

Deep Learning through Examples

Sri Ambati • 8 years ago

Algorithmic Music Recommendations at Spotify

Chris Johnson • 9 years ago

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

Anmol Bhasin • 9 years ago

You Suck At PowerPoint!

Jesse Desjardins - @jessedee • 10 years ago

Big data Big Analytics

Ajay Ohri • 10 years ago

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.