Characterizing and Learning Representation on Customer Contact Journeys in Cellular Services
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Tan Xu | Shuai Zhao | Raif Rustamov | Wen-Ling Hsu | Guy Jacobson | George Ma | R. Rustamov | Wen-Ling Hsu | G. Jacobson | Shuai Zhao | Tan Xu | George Ma
[1] K. Kvåle,et al. Improving service quality through customer journey analysis , 2016 .
[2] Yann Dauphin,et al. Convolutional Sequence to Sequence Learning , 2017, ICML.
[3] Iryna Gurevych,et al. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , 2018, ACL 2018.
[4] Vladlen Koltun,et al. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling , 2018, ArXiv.
[5] Xing Chen,et al. Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network. , 2017, Molecular bioSystems.
[6] Raif M. Rustamov,et al. Closed‐form expressions for maximum mean discrepancy with applications to Wasserstein auto‐encoders , 2019, Stat.
[7] Angelika Steger,et al. Fast-Slow Recurrent Neural Networks , 2017, NIPS.
[8] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[9] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[10] Zhenming Liu,et al. Speaking with Actions - Learning Customer Journey Behavior , 2019, 2019 IEEE 13th International Conference on Semantic Computing (ICSC).
[11] Christopher D. Manning,et al. Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..
[12] Jinho D. Choi,et al. Intrinsic and Extrinsic Evaluations of Word Embeddings , 2016, AAAI.
[13] Bernhard Schölkopf,et al. A Kernel Two-Sample Test , 2012, J. Mach. Learn. Res..
[14] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[15] Jeffrey J. Spiess,et al. Using Big Data to Improve Customer Experience and Business Performance , 2014, Bell Labs Tech. J..
[16] Wei Xu,et al. Bidirectional LSTM-CRF Models for Sequence Tagging , 2015, ArXiv.
[17] Fei Wang,et al. Patient Subtyping via Time-Aware LSTM Networks , 2017, KDD.
[18] Meena Mahajan,et al. The Planar k-means Problem is NP-hard I , 2009 .
[19] Xiang Ren,et al. Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat , 2019, KDD.
[20] Jiawei Han,et al. I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application , 2018, KDD.
[21] Léon Bottou,et al. Wasserstein Generative Adversarial Networks , 2017, ICML.
[22] Periklis Andritsos,et al. Contextual and Behavioral Customer Journey Discovery Using a Genetic Approach , 2019, ADBIS.
[23] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[24] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[25] Sanjeev Arora,et al. A Simple but Tough-to-Beat Baseline for Sentence Embeddings , 2017, ICLR.
[26] Walter L. Smith. Probability and Statistics , 1959, Nature.
[27] Gerard de Melo,et al. Exploring Semantic Properties of Sentence Embeddings , 2018, ACL.
[28] Oriol Vinyals,et al. Neural Discrete Representation Learning , 2017, NIPS.
[29] Holger Schwenk,et al. Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , 2017, EMNLP.
[30] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Bernhard Schölkopf,et al. From Variational to Deterministic Autoencoders , 2019, ICLR.
[32] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[33] Bernhard Schölkopf,et al. Wasserstein Auto-Encoders , 2017, ICLR.
[34] Jürgen Schmidhuber,et al. LSTM: A Search Space Odyssey , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[35] Thorsten Joachims,et al. Evaluation methods for unsupervised word embeddings , 2015, EMNLP.