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Alexandros Karatzoglou

Alexandros Karatzoglou

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Personal Information
Organization / Workplace
Barcelona Area, Spain Spain
Occupation
Research Scientist
Industry
Technology / Software / Internet
Website
alexiskz.wordpress.com/
About
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.
Contact Details
Tags
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
See more
Presentations (10)
See all
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
Likes (11)
See all
Tutorial on Sequence Aware Recommender Systems - ACM RecSys 2018
Massimo Quadrana • 4 years ago
NIPS 2016 Highlights - Sebastian Ruder
Sebastian Ruder • 6 years ago
kaggle_meet_up
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

Presentations (10)
See all
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
Likes (11)
See all
Tutorial on Sequence Aware Recommender Systems - ACM RecSys 2018
Massimo Quadrana • 4 years ago
NIPS 2016 Highlights - Sebastian Ruder
Sebastian Ruder • 6 years ago
kaggle_meet_up
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
Personal Information
Organization / Workplace
Barcelona Area, Spain Spain
Occupation
Research Scientist
Industry
Technology / Software / Internet
Website
alexiskz.wordpress.com/
About
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.
Contact Details
Tags
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
See more

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