Matrix Factorization

Matrix factorization is a family of techniques that decompose a data matrix into lower-dimensional components, aiming to reveal underlying structure and reduce dimensionality. Current research emphasizes developing more efficient and robust algorithms, including those incorporating deep learning, handling missing data, and addressing challenges in distributed and federated settings. These advancements are improving the performance and applicability of matrix factorization across diverse fields, such as recommendation systems, computer vision, and natural language processing, by enabling more accurate and scalable data analysis.

Papers

March 26, 2022

Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data
Sowmini Devi Veeramachaneni, Arun K Pujari, Vineet Padmanabhan, Vikas Kumar
Transfer Learning Recommender System Matrix Factorization Formality Transfer Collaborative Filtering Cross Domain Recommendation

March 20, 2022

Nonstationary Temporal Matrix Factorization for Multivariate Time Series Forecasting
Xinyu Chen, Chengyuan Zhang, Xi-Le Zhao, Nicolas Saunier, Lijun Sun
Matrix Factorization Multivariate Time Series Forecasting Non Stationarity Spatiotemporal Traffic

March 18, 2022

SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints
Eric Daoud, Luca Ganassali, Antoine Baker, Marc Lelarge
Latent Space Matrix Factorization Recommendation Algorithm Sinkhorn Algorithm Item Embeddings Capacity Constraint

March 12, 2022

An Introduction to Matrix factorization and Factorization Machines in Recommendation System, and Beyond
Yuefeng Zhang
Matrix Factorization Gentle Introduction Singular Value Decomposition Factorization Machine

March 6, 2022

Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization
Liwei Jiang, Yudong Chen, Lijun Ding
Gradient Descent Matrix Factorization Low Rank Approximation Nonconvex Optimization Explicit Regularization

February 28, 2022

Semi-supervised Nonnegative Matrix Factorization for Document Classification
Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, RWMA Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
Text Classification Matrix Factorization Topic Model Document Classification Multi Label Document Classification

February 19, 2022

Region-Based Semantic Factorization in GANs
Jiapeng Zhu, Yujun Shen, Yinghao Xu, Deli Zhao, Qifeng Chen
Generative Adversarial Network Matrix Factorization Semantic Discovery

February 16, 2022

February 10, 2022

Semi-Supervised Convolutive NMF for Automatic Piano Transcription
Haoran Wu, Axel Marmoret, Jérémy E. Cohen
Matrix Factorization Music Information Retrieval Music Transcription

January 31, 2022

Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents
Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell
Semi Supervised Matrix Factorization Legal Document Non Negative Matrix Factorization

January 24, 2022

Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization
Bin Liu, Dimitrios Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas, Apostolos N. Papadopoulos
Matrix Factorization Random Walk Drug Target Interaction Interaction Prediction Drug Target Interaction Prediction

January 20, 2022

GAN-based Matrix Factorization for Recommender Systems
Ervin Dervishaj, Paolo Cremonesi
Generative Model Generative Adversarial Network Recommender System Matrix Factorization

January 10, 2022

Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation
Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, Mohammad Aliannejadi
Recommender System Matrix Factorization Shallow Network Point of Interest Social Influence User Clustering

January 8, 2022

December 10, 2021

Leveraging Joint-Diagonalization in Transform-Learning NMF
Sixin Zhang, Emmanuel Soubies, Cédric Févotte
Matrix Factorization Low Rank Constraint Matrix Diagonalization Learning Transformation

December 3, 2021

ALX: Large Scale Matrix Factorization on TPUs
Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang
Link Prediction Matrix Factorization Prime Factorization Edge TPU

December 1, 2021

Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization
Valentin Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
Large Corpus Matrix Factorization Topic Modeling Topic Analysis Semantic Structure

November 29, 2021

Spherical Matrix Factorization
Kai Liu
Matrix Factorization Principal Component Analysis Dictionary Learning Non Negative Matrix Factorization Euclidean Distance

Matrix Factorization

Papers

Transfer of codebook latent factors for cross-domain recommendation with non-overlapping data

Nonstationary Temporal Matrix Factorization for Multivariate Time Series Forecasting

SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints

An Introduction to Matrix factorization and Factorization Machines in Recommendation System, and Beyond

Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization

Semi-supervised Nonnegative Matrix Factorization for Document Classification

Region-Based Semantic Factorization in GANs

VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation

Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation

Semi-Supervised Convolutive NMF for Automatic Piano Transcription

Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents

Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization

GAN-based Matrix Factorization for Recommender Systems

Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation

Multi-View Non-negative Matrix Factorization Discriminant Learning via Cross Entropy Loss

Provable Clustering of a Union of Linear Manifolds Using Optimal Directions

Leveraging Joint-Diagonalization in Transform-Learning NMF

ALX: Large Scale Matrix Factorization on TPUs

Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization

Spherical Matrix Factorization