Sep 7, 2016 · In this paper we present a method leveraging deep recurrent neural networks to encode the text sequence into a latent vector, specifically gated recurrent ...
In this paper we present a method leveraging deep recurrent neural networks to encode the text sequence into a latent vector, specifically gated recurrent ...
In this paper we present a method lever- aging deep recurrent neural networks to encode the text sequence into a latent vector, specifically gated recurrent.
This paper presents a method leveraging deep recurrent neural networks to encode the text sequence into a latent vector, specifically gated recurrent units ...
In this paper we present a method lever-aging deep recurrent neural networks to encode the text sequence into a latent vector, specifically gated recurrent ...
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IR-1086: (2016) Bansal, T., Belanger, D. and McCallum, A., "Ask the GRU: Multi-Task Learning for Deep Text Recommendations," in the Proceedings of the 10th ...
Explainable recommendation via multi-task learning in opinionated text data. ... Ask the gru: Multitask learning for deep text recommendations. RecSys 2016.
Nov 21, 2019 · Ask The GRU: Multi-Task Learning for Deep Text Recommendations presents a method leveraging deep recurrent neural networks to encode the text ...
2016. Ask the GRU: Multi-task Learning for Deep Text Recommendations. In Proceedings of the 10th RecSys. 107--114. Digital Library.
Nov 25, 2017 · 在学术论文推荐的实验中具有更高的准确率；在冷启动场景下，能够缓解协同过滤模型的数据稀疏问题，也超过了state-of-the-art。作者认为这得益于多任务学习， ...