SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS論文解讀
SESSION-BASED RECOMMENDATIONS WITH RECURRENT NEURAL NETWORKS ICLR2016 首先介紹下session-based 的概念：session是服務器端用來記錄識別用戶的一種機制. 典型的場景比如購物車，服務端爲特定的對象創建了特定的Session，用於標識這個對象，並且跟蹤用戶的瀏覽點擊行爲。我們這裏可以將其理解爲具有時序關係的一些記錄序
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相關文章
- 1. Deep Learning 論文解讀——Session-based Recommendations with Recurrent Neural Networks
- 2. Session-based recommendations with recurrent neural networks（閱讀理解）
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- 4. Collaborative Filtering with Recurrent Neural Networks論文介紹
- 5. 【論文速讀】Gated Feedback Recurrent Neural Network
- 6. 論文《Chinese Poetry Generation with Recurrent Neural Network》閱讀筆記
- 7. Document Modeling with Gated Recurrent Neural Network for Sentiment Classification 論文閱讀筆記
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- 9. 《Improved Recurrent Neural Networks for Session-based Recommendations》 DLRS 2016 閱讀筆記
- 10. 【讀】seq2seq——（1）Generating News Headlines with Recurrent Neural Networks