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Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations

17 April 2021

Papers citing "Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations"

24 / 24 papers shown

Title
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction Pan Li Maofei Que Zhichao Jiang Yao Hu Alexander Tuzhilin 38 45 0 05 Jun 2021
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network Cheng Zhao Chenliang Li Rong Xiao Hongbo Deng Aixin Sun LRM 55 177 0 21 May 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation A. Krishnan Mahashweta Das M. Bendre Hao Yang Hari Sundaram 62 67 0 21 May 2020
DDTCDR: Deep Dual Transfer Cross Domain Recommendation P. Li Alexander Tuzhilin 107 272 0 11 Oct 2019
Latent Multi-Criteria Ratings for Recommendations Pan Li Alexander Tuzhilin 58 23 0 26 Jun 2019
Collaborative Translational Metric Learning Chanyoung Park Donghyun Kim Xing Xie Hwanjo Yu 48 53 0 04 Jun 2019
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text Guangneng Hu Yu Zhang Qiang Yang 67 82 0 22 Jan 2019
Can We Gain More from Orthogonality Regularizations in Training Deep CNNs? Nitin Bansal Xiaohan Chen Zhangyang Wang OOD 88 188 0 22 Oct 2018
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems Lucas Vinh Tran Yi Tay Shuai Zhang Gao Cong Xiaoli Li 88 124 0 05 Sep 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 275 3,555 0 06 Jun 2018
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation Guangneng Hu Yu Zhang Qiang Yang 94 412 0 18 Apr 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 120 384 0 03 Apr 2018
Cross-domain Recommendation via Deep Domain Adaptation Heishiro Kanagawa Hayato Kobayashi N. Shimizu Yukihiro Tagami Taiji Suzuki 68 94 0 08 Mar 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 200 1,244 0 16 Feb 2018
Wasserstein Auto-Encoders Ilya O. Tolstikhin Olivier Bousquet Sylvain Gelly B. Schölkopf DRL 152 1,058 0 05 Nov 2017
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking Yi Tay Anh Tuan Luu S. Hui 154 304 0 17 Jul 2017
Dual Supervised Learning Yingce Xia Tao Qin Wei-neng Chen Jiang Bian Nenghai Yu Tie-Yan Liu SSL 137 143 0 03 Jul 2017
Dual Learning for Machine Translation Yingce Xia Di He Tao Qin Liwei Wang Nenghai Yu Tie-Yan Liu Wei-Ying Ma AI4CE 94 850 0 01 Nov 2016
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 106 2,228 0 18 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 471 43,357 0 11 Feb 2015
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 450 20,611 0 10 Sep 2014
Collaborative Deep Learning for Recommender Systems Hao Wang Naiyan Wang Dit-Yan Yeung BDL 139 1,619 0 10 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 486 16,916 0 20 Dec 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 384 7,981 0 13 Jun 2012