A novel deep quantile matrix completion model for top-N recommendation

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

(2021) Maurizio Ferrari Dacrema et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Orthogonal Nonnegative Matrix Factorization using a novel deep Autoencoder Network

(2021) Mingming Yang et al.   KNOWLEDGE-BASED SYSTEMS

Estimation of missing values in heterogeneous traffic data: Application of multimodal deep learning model

(2020) Linchao Li et al.   KNOWLEDGE-BASED SYSTEMS

A novel patch-based nonlinear matrix completion algorithm for image analysis through convolutional neural network

(2020) Mingming Yang et al.   NEUROCOMPUTING

Adaptive quantile low-rank matrix factorization

(2020) Shuang Xu et al.   PATTERN RECOGNITION

Autoencoder-based personalized ranking framework unifying explicit and implicit feedback for accurate top-N recommendation

(2019) Dong-Kyu Chae et al.   KNOWLEDGE-BASED SYSTEMS

Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines

(2019) Babak Loni et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Neural variational matrix factorization for collaborative filtering in recommendation systems

(2019) Teng Xiao et al.   APPLIED INTELLIGENCE

A matrix factorization based dynamic granularity recommendation with three-way decisions

(2019) Dun Liu et al.   KNOWLEDGE-BASED SYSTEMS

Geometric Matrix Completion With Deep Conditional Random Fields

(2019) Duc Minh Nguyen et al.   IEEE Transactions on Neural Networks and Learning Systems

Noisy matrix completion on a novel neural network framework

(2018) Samuel Mercier et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Dual-regularized matrix factorization with deep neural networks for recommender systems

(2018) Hao Wu et al.   KNOWLEDGE-BASED SYSTEMS

Matrix completion by deep matrix factorization

(2018) Jicong Fan et al.   NEURAL NETWORKS

Embedded conformal deep low-rank auto-encoder network for matrix recovery

(2018) Haifeng Xia et al.   PATTERN RECOGNITION LETTERS

Attribute mapping and autoencoder neural network based matrix factorization initialization for recommendation systems

(2018) Jianli Zhao et al.   KNOWLEDGE-BASED SYSTEMS

Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient Regularization

(2017) Hongyang Xue et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Weakly Supervised Deep Matrix Factorization for Social Image Understanding

(2017) Zechao Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Deep Matrix Factorization Method for Learning Attribute Representations

(2017) George Trigeorgis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation

(2017) Xiaobo Chen et al.   KNOWLEDGE-BASED SYSTEMS

Balancing accuracy and diversity in recommendations using matrix completion framework

(2017) Anupriya Gogna et al.   KNOWLEDGE-BASED SYSTEMS

Deep learning based matrix completion

(2017) Jicong Fan et al.   NEUROCOMPUTING

A non-convex algorithm framework based on DC programming and DCA for matrix completion

(2014) Juan Geng et al.   NUMERICAL ALGORITHMS

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization

(2013) Yao Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Joint Schatten $$p$$ p -norm and $$\ell _p$$ ℓ p -norm robust matrix completion for missing value recovery

(2013) Feiping Nie et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Smoothing methods for nonsmooth, nonconvex minimization

(2012) Xiaojun Chen   MATHEMATICAL PROGRAMMING

A fast tri-factorization method for low-rank matrix recovery and completion

(2012) Yuanyuan Liu et al.   PATTERN RECOGNITION

Gibbs sampling methods for Bayesian quantile regression

(2011) Hideo Kozumi et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

A Singular Value Thresholding Algorithm for Matrix Completion

(2010) Jian-Feng Cai et al.   SIAM JOURNAL ON OPTIMIZATION