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Alexandros Karatzoglou

Breaking News: We are organising a workshop on Deep Learning for Recommender Systems at RecSys 2016 in Boston Senior Research Scientist at Telefonica Research in sunny Barcelona. I focus on several aspects of Machine Learning and Recommendation like Deep Learning, Learning to Rank and Context-awareness. Recipient of a a two-year Marie Curie IEF fellowship award to…

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Breaking News: We are organising a workshop on Deep Learning for Recommender Systems at RecSys 2016 in Boston Senior Research Scientist at Telefonica Research in sunny Barcelona. I focus on several aspects of Machine Learning and Recommendation like Deep Learning, Learning to Rank and Context-awareness. Recipient of a a two-year Marie Curie IEF fellowship award to…
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Alexandros Karatzoglou | alexiskz.wordpress.com Reviews

https://alexiskz.wordpress.com

Breaking News: We are organising a workshop on Deep Learning for Recommender Systems at RecSys 2016 in Boston Senior Research Scientist at Telefonica Research in sunny Barcelona. I focus on several aspects of Machine Learning and Recommendation like Deep Learning, Learning to Rank and Context-awareness. Recipient of a a two-year Marie Curie IEF fellowship award to…

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Code – Alexandros Karatzoglou

https://alexiskz.wordpress.com/code

This is the Python Theano code for the ICLR 2016 paper on Session-based Recommendations with Recurrent Neural Networks. The idea here is to use an RNN (a GRU to be p. Recise) to model the clicks of each user session and to then subsequently use this model for recommendation. We use a ranking loss and some nifty sampling trick on the output layer to make this work efficiently, we get between 15 to 25% improvement over item-to-item recommendations. Kernels like Gaussian and String kernels. I started de...

2

Places – Alexandros Karatzoglou

https://alexiskz.wordpress.com/places

Create a free website or blog at WordPress.com.

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Projects – Alexandros Karatzoglou

https://alexiskz.wordpress.com/projects

I’m taking part in the CrowdRec EU FP7 project together with Gravity R&D, TU Delft, TU Berlin, Moviri, and JCP. With CrowdRec we try to come up with funky new recommendation algorithms and so far we have been doing a pretty good job, see our Session-based recommendations with RNN’s. Project: Context-aware Recommendation System (CARS). From Telefonica Research and collaborator Matthias Böhmer. From DFKI. Frappé was recently released on Google Play. And we’re currently running a local user study to determi...

4

Talks & Teaching – Alexandros Karatzoglou

https://alexiskz.wordpress.com/talks-teaching

Machine Learning and Deep Learning. I am currently teaching two courses on Deep Learning and. Machine Learning for Recommender Systems. Graduate School of Economics Masters Course in Data Science. In Barcelona. I’m also teaching a similar course at the GSE Data Science Summer School. I also routinely give talks at universities and meetups. Here are my slides from my talk at the Budapest RecSys meetup on Deep Learning for Recommender Systems. 8221; held at the Barcelona Biomedical Research Park. I also ga...

5

Blog – Alexandros Karatzoglou

https://alexiskz.wordpress.com/blog

It seems we can’t find what you’re looking for. Perhaps searching can help. Create a free website or blog at WordPress.com.

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Uncategorized Archives - THE GRAVITY R&D BLOG

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THE GRAVITY R&D BLOG. RecSys 2016 – Part II. – Gravity @ RecSys 2016. October 17, 2016. October 18, 2016. This is the second of three posts on the RecSys 2016. Conference. Last week I wrote about the conference in general. This week I’ll discuss what Gravity contributed to the conference. Since the conference was overseas, the Gravity contingent at RecSys was small this year, compared to last year. Only our CEO ( Domonkos Tikk. We co-organized the 1. Deep Learning for Recommender Systems. October 7, 2016.

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Gravity R&D, Author at THE GRAVITY R&D BLOG

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THE GRAVITY R&D BLOG. Author: Gravity R&D. RecSys 2016 – Part II. – Gravity @ RecSys 2016. October 17, 2016. October 18, 2016. This is the second of three posts on the RecSys 2016. Conference. Last week I wrote about the conference in general. This week I’ll discuss what Gravity contributed to the conference. Since the conference was overseas, the Gravity contingent at RecSys was small this year, compared to last year. Only our CEO ( Domonkos Tikk. We co-organized the 1. October 7, 2016. October 17, 2016.

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Alexandros Karatzoglou

Breaking News: We are organising a workshop on Deep Learning for Recommender Systems. At RecSys 2016 in Boston. Awards at ECML/PKDD 2013, RecSys 2012 and ECML 2008. Apart from mentoring PhD students at Telefonica Research, I am currently teaching courses on Deep Learning and. Machine Learning for Recommender Systems. Graduate School of Economics Masters Course in Data Science. In Barcelona and at the GSE Data Science Summer School. I’m also the author of kernlab.

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