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[1] Harry Shum,et al. An Empirical Study on Learning to Rank of Tweets , 2010, COLING.
[2] Christopher J. C. Burges,et al. From RankNet to LambdaRank to LambdaMART: An Overview , 2010 .
[3] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[4] Haibin Cheng,et al. Real-time Personalization using Embeddings for Search Ranking at Airbnb , 2018, KDD.
[5] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[6] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[7] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[9] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[10] Julian J. McAuley,et al. Self-Attentive Sequential Recommendation , 2018, 2018 IEEE International Conference on Data Mining (ICDM).
[11] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[12] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[13] Tong Zhang,et al. Statistical Analysis of Bayes Optimal Subset Ranking , 2008, IEEE Transactions on Information Theory.
[14] Elad Eban,et al. Seq2Slate: Re-ranking and Slate Optimization with RNNs , 2018, ArXiv.
[15] George Kurian,et al. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation , 2016, ArXiv.
[16] Lars Schmidt-Thieme,et al. Factorizing personalized Markov chains for next-basket recommendation , 2010, WWW '10.
[17] Tie-Yan Liu,et al. Listwise approach to learning to rank: theory and algorithm , 2008, ICML '08.
[18] Stephen E. Robertson,et al. SoftRank: optimizing non-smooth rank metrics , 2008, WSDM '08.
[19] Thorsten Joachims,et al. Training linear SVMs in linear time , 2006, KDD '06.
[20] Wei Xu,et al. Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation , 2016, TACL.
[21] Paul Covington,et al. Deep Neural Networks for YouTube Recommendations , 2016, RecSys.
[22] Rico Sennrich,et al. Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures , 2018, EMNLP.
[23] Huan Liu,et al. Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce , 2018, SIGIR.
[24] Qiang Wu,et al. McRank: Learning to Rank Using Multiple Classification and Gradient Boosting , 2007, NIPS.
[25] W. Bruce Croft,et al. Learning a Deep Listwise Context Model for Ranking Refinement , 2018, SIGIR.
[26] Tie-Yan Liu,et al. Learning to Rank for Information Retrieval , 2011 .
[27] Marc Najork,et al. Learning Groupwise Scoring Functions Using Deep Neural Networks , 2018, ArXiv.
[28] Hang Li,et al. AdaRank: a boosting algorithm for information retrieval , 2007, SIGIR.
[29] John D. Lafferty,et al. Beyond independent relevance: methods and evaluation metrics for subtopic retrieval , 2003, SIGIR.
[30] Wenwu Ou,et al. Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search , 2018, IJCAI.
[31] Tie-Yan Liu,et al. Learning to rank: from pairwise approach to listwise approach , 2007, ICML '07.
[32] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[33] Thomas Hofmann,et al. Learning to Rank with Nonsmooth Cost Functions , 2006, NIPS.
[34] Hongbo Deng,et al. Ranking Relevance in Yahoo Search , 2016, KDD.
[35] Jade Goldstein-Stewart,et al. The use of MMR, diversity-based reranking for reordering documents and producing summaries , 1998, SIGIR '98.
[36] Gregory N. Hullender,et al. Learning to rank using gradient descent , 2005, ICML.
[37] Heng-Tze Cheng,et al. Wide & Deep Learning for Recommender Systems , 2016, DLRS@RecSys.
[38] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.