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Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

Aug 28, 2018
Balázs Hidasi, Alexandros Karatzoglou

* CIKM'18, authors' version 

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Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

Aug 23, 2017
Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi


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Theano: A Python framework for fast computation of mathematical expressions

May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

* 19 pages, 5 figures 

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Session-based Recommendations with Recurrent Neural Networks

Mar 29, 2016
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk

* Camera ready version (17th February, 2016) Affiliation update (29th March, 2016) 

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General factorization framework for context-aware recommendations

May 19, 2015
Balázs Hidasi, Domonkos Tikk

* The final publication is available at Springer via http://dx.doi.org/10.1007/s10618-015-0417-y. Data Mining and Knowledge Discovery, 2015 

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Context-aware recommendations from implicit data via scalable tensor factorization

Sep 29, 2013
Balázs Hidasi, Domonkos Tikk

* Extended version of the ECML/PKDD 2012 paper of B. Hidasi & D. Tikk: Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback [arXiv:1204.1259] 

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Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback

Apr 04, 2013
Balázs Hidasi, Domonkos Tikk

* Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II 
* Accepted for ECML/PKDD 2012, presented on 25th September 2012, Bristol, UK 

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