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A significant remaining challenge for existing recommender systems is that users may not trust the recommender systems for either lack of explanation or inaccurate recommendation results.
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Runa Bhaumik, Bamshad Mobasher, and Robin Burke · 2011
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Nava Tintarev and Judith Masthoff · 2011
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A dynamic oracle for arc-eager dependency parsing
Yoav Goldberg and Joakim Nivre · 2012
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Geli Fei, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malu Castellanos, and Riddhiman Ghosh · 2013
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A belief propagation approach for detecting shilling attacks in collaborative filtering
Jun Zou and Faramarz Fekri · 2013
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Diederik P Kingma and Max Welling · 2013
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Amit Sharma and Dan Cosley · 2013
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Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
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Beidou Wang, Martin Ester, Jiajun Bu, and Deng Cai · 2014
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Xiwang Yang, Yang Guo, Yong Liu, and Harald Steck · 2014
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Ihsan Gunes, Cihan Kaleli, Alper Bilge, and Huseyin Polat · 2014
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Context-aware collaborative topic regression with social matrix factorization for recommender systems
Chaochao Chen, Xiaolin Zheng, Yan Wang, Fuxing Hong, and Zhen Lin · 2014
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Recurrent convolutional neural networks for scene labeling
Pedro HO Pinheiro and Ronan Collobert · 2014
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Deepwalk: Online learning of social representations
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena · 2014
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Guibing Guo, Jie Zhang, and Neil Yorke-Smith · 2015
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Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, and Lexing Xie · 2015
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Xue Geng, Hanwang Zhang, Jingwen Bian, and Tat-Seng Chua · 2015
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Shaowei Liu, Peng Cui, Wenwu Zhu, and Shiqiang Yang · 2015
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Siwei Lai, Liheng Xu, Kang Liu, and Jun Zhao · 2015
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Minh-Thang Luong, Hieu Pham, and Christopher D Manning · 2015
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Luyang Li, Wenjing Ren, Bing Qin, and Ting Liu · 2015
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Texture synthesis using convolutional neural networks
Leon Gatys, Alexander S Ecker, and Matthias Bethge · 2015
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João Vinagre, Alípio Mário Jorge, and João Gama · 2015
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Re-scale adaboost for attack detection in collaborative filtering recommender systems
Zhihai Yang, Lin Xu, Zhongmin Cai, and Zongben Xu · 2016
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Wayne Xin Zhao, Sui Li, Yulan He, Liwei Wang, Ji-Rong Wen, and Xiaoming Li · 2016
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Xu Chen, Zheng Qin, Yongfeng Zhang, and Tao Xu · 2016
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Florian Strub, Romaric Gaudel, and Jérémie Mary · 2016
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Trapit Bansal, David Belanger, and Andrew McCallum · 2016
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Aditya Grover and Jure Leskovec · 2016
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Sai Wu, Weichao Ren, Chengchao Yu, Gang Chen, Dongxiang Zhang, and Jingbo Zhu · 2016
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Joint training of ratings and reviews with recurrent recommender networks
Chao-Yuan Wu, Amr Ahmed, Alex Beutel, and Alexander J Smola · 2016
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Deceptive opinion spam detection using neural network
Yafeng Ren and Yue Zhang · 2016
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Learning to represent review with tensor decomposition for spam detection
Xuepeng Wang, Kang Liu, Shizhu He, and Jun Zhao · 2016
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Collaborative denoising auto-encoders for top-n recommender systems
Yao Wu, Christopher DuBois, Alice X Zheng, and Martin Ester · 2016
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Collaborative recurrent autoencoder: Recommend while learning to fill in the blanks
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Ruining He and Julian McAuley · 2016
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Simple and accurate dependency parsing using bidirectional lstm feature representations
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Contextual attention model for social recommendation
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Wenqi Fan, Qing Li, and Min Cheng · 2018
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Social recommendation with an essential preference space
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Item recommendation with variational autoencoders and heterogeneous priors
Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, and Tony Jebara · 2018
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Dri-rcnn: An approach to deceptive review identification using recurrent convolutional neural network
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Personalized top-n sequential recommendation via convolutional sequence embedding
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