Massimo Quadrana

22 Followers

3 SlideShares 22 Followers 7 Followings

3 SlideShares 22 Followers 7 Followings

deep learning recsys session-based recommendation recurrent neural networks recommender systems rnn recsys2018 collaborative filtering data mining concept drift intent detection user modeling algorithms evaluation sequence-aware séquence polimi recsys2017 recsys17 personalization dnn cnn theano python

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Deep Learning in theano

8 years ago • 1653 Views

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

6 years ago • 2767 Views

Tutorial on Sequence Aware Recommender Systems - ACM RecSys 2018

5 years ago • 4888 Views

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

Balázs Hidasi • 7 years ago

Unsupervised Computer Vision: The Current State of the Art

TJ Torres • 8 years ago

Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial

Alexandros Karatzoglou • 10 years ago

Efficient Top-N Recommendation by Linear Regression

Mark Levy • 10 years ago

Offline evaluation of recommender systems: all pain and no gain?

Mark Levy • 10 years ago

deep learning recsys session-based recommendation recurrent neural networks recommender systems rnn recsys2018 collaborative filtering data mining concept drift intent detection user modeling algorithms evaluation sequence-aware séquence polimi recsys2017 recsys17 personalization dnn cnn theano python

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