GitHub

shahriar-rahman/Neural-Collaborative-Filtering

This is our implementation for the paper: Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu and Tat-Seng Chua (2017). Neural Collaborative Filtering. In Proceedings of WWW '17, Perth, ...
Scientific Research Publishing

Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix Factorization Techniques for Recommender Systems. Computer, 42, 30-37.

ABSTRACT: The offline course “Home Plant Health Care,” which is available to the senior population, serves as the study object for this paper. Learn how to use artificial intelligence technologies to ...
Frontiers

Collaborative filtering based on nonnegative/binary matrix factorization

Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix ...
Frontiers

Assessment of the sources and health risks of heavy metals in the soil-rice system based on positive matrix factorization and Monte Carlo simulation

1 School of Public Health and Management, Chongqing Three Gorges Medical College, Chongqing, China 2 Department of Environment and Food Hygiene, Chongqing Wanzhou District Center for Disease Control ...
C&EN

Inverse Design of Unitary Transmission Matrices in Silicon Photonic Coupled Waveguide Arrays Using a Neural Adjoint Model

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The development of low-loss reconfigurable integrated optical devices enables further ...
GitHub

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization

As Machine Learning (ML) applications rapidly grow, concerns about adversarial attacks compromising their reliability have gained significant attention. One unsupervised ML method known for its ...
Scientific Research Publishing

Chen, H. (2018) Block Decompositions and Applications of Generalized Reflexive Matrices. Advances in Linear Algebra & Matrix Theory, 8, 122-133.

ABSTRACT: The implementation of automated systems that meet the desired functional specifications requires scientifically proven modelling and design tools. The achievement of an automated computing ...
IEEE

Generalized Bilinear Factorization via Hybrid Vector Message Passing

Abstract: Generalized bilinear factorization (GBF), in which two matrices are recovered from noisy and typically compressed measurements of their product, arises in various applications such as blind ...