GitHub - hidasib/GRU4Rec: GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Sess

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yingfeng Session-based Recommendations with Recurrent Neural Networks

DeepLearning

2017/03/02 リンク

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<iframe marginwidth="0" marginheight="0" src="https://b.hatena.ne.jp/entry.parts?url=https%3A%2F%2Fgithub.com%2Fhidasib%2FGRU4Rec" scrolling="no" frameborder="0" height="230" width="500"><div class="hatena-bookmark-detail-info"><a href="https://github.com/hidasib/GRU4Rec">GitHub - hidasib/GRU4Rec: GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Sess</a><a href="https://b.hatena.ne.jp/entry/s/github.com/hidasib/GRU4Rec">はてなブックマーク - GitHub - hidasib/GRU4Rec: GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Sess</a></div></iframe>

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GitHub - hidasib/GRU4Rec: GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Sess

This is the original Theano implementation of the algorithm of the paper "Session-based Recommend... This is the original Theano implementation of the algorithm of the paper "Session-based Recommendations With Recurrent Neural Networks", with the extensions introduced in the paper "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". Make sure to always use the latest version as baseline and cite both papers when you do so! The code was optimized for fast execution on th