A Neural Autoregressive Approach to Collaborative Filtering

31 May 2016

Papers citing "A Neural Autoregressive Approach to Collaborative Filtering"

22 / 22 papers shown

Title
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 53 5 0 02 Sep 2024
Learning to Infer Unobserved Behaviors: Estimating User's Preference for a Site over Other Sites Atanu R. Sinha Tanay Anand Paridhi Maheshwari A. V. Lakshmy Vishal Jain 11 0 0 15 Dec 2023
$Ae^2I$ : A Double Autoencoder for Imputation of Missing Values Fuchang Gao 24 1 0 16 Jan 2023
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 38 8 0 30 Sep 2022
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation Taejun Lim Siqu Long Josiah Poon S. Han 15 0 0 09 Sep 2022
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation Chao Chen Dongsheng Li Junchi Yan Xiaokang Yang 11 15 0 02 Apr 2022
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Bo Zhang Liefeng Bo MLAU 97 122 0 08 Oct 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Xiyue Zhang Hongsheng Yang J. Pei Liefeng Bo 124 193 0 08 Oct 2021
GLocal-K: Global and Local Kernels for Recommender Systems S. Han Taejun Lim Siqu Long Bernd Burgstaller Josiah Poon 13 44 0 27 Aug 2021
Inductive Matrix Completion Using Graph Autoencoder Wei Shen Chuheng Zhang Yunkun Tian Liang Zeng Xiaonan He Wanchun Dou Xiaolong Xu 11 24 0 25 Aug 2021
Modurec: Recommender Systems with Feature and Time Modulation Javier Maroto Clément Vignac P. Frossard 10 1 0 13 Oct 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search Yong Guo Yaofo Chen Yin Zheng P. Zhao Jian Chen Junzhou Huang Mingkui Tan 27 66 0 07 Jul 2020
Large Scale Tensor Regression using Kernels and Variational Inference Robert Hu Geoff K. Nicholls Dino Sejdinovic 15 4 0 11 Feb 2020
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation Zhiwei Liu Lei Zheng Jiawei Zhang Jiayu Han Philip S. Yu 16 26 0 18 Oct 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang Xingjian Shi Shenglin Zhao Irwin King 29 225 0 27 May 2019
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Steffen Rendle Li Zhang Y. Koren 21 125 0 04 May 2019
Geometric Matrix Completion with Deep Conditional Random Fields Duc Minh Nguyen A. Calderbank Nikos Deligiannis 20 7 0 29 Jan 2019
A Hybrid Variational Autoencoder for Collaborative Filtering Kilol Gupta M. Raghuprasad Pankhuri Kumar 17 14 0 14 Jul 2018
Cross-domain Recommendation via Deep Domain Adaptation Heishiro Kanagawa Hayato Kobayashi N. Shimizu Yukihiro Tagami Taiji Suzuki 27 92 0 08 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 30 157 0 07 Mar 2018
Collaborative Filtering with User-Item Co-Autoregressive Models Chao Du Chongxuan Li Yin Zheng Jun Zhu Bo Zhang HAI 13 33 0 21 Dec 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering Zhuxi Jiang Yin Zheng Huachun Tan Bangsheng Tang Hanning Zhou BDL DRL 21 723 0 16 Nov 2016