Search: matrix factorization — Academic Articles

Collaborative Filtering Recommendation Algorithm Based on Semi-Autoencoder

ZHANG Haobo, XUE Feng, LIU Kai • Jisuanji gongcheng (2021)

To effectively use the user-item interaction history and auxiliary information in recommendation systems,this paper proposes an improved collaborative filtering recommendation algorithm.Based on semi-autoencoder,the features of auxiliary in...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0056700

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Nonnegative/Binary matrix factorization for image classification using quantum annealing

Hinako Asaoka, Kazue Kudo • Scientific Reports (2023)

Abstract Classical computing has borne witness to the development of machine learning. The integration of quantum technology into this mix will lead to unimaginable benefits and be regarded as a giant leap forward in mankind’s ability to co...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-023-43729-z

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Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features

Bing Li, Jiangtao Dong, Xile Wang, Yuqi Hou et al. • IEEE Access (2025)

To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interact...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3530431

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Learning Image From Projection: A Full-Automatic Reconstruction (FAR) Net for Computed Tomography

Genwei Ma, Yining Zhu, Xing Zhao • IEEE Access (2020)

The x-ray computed tomography (CT) is essential for medical diagnosis and industrial nondestructive testing. The aim of CT is to recover or reconstruct image from projection data. However, in particular, the reconstructed image usually suff...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3039638

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A Comprehensive Survey on Community Detection With Deep Learning

Xing Su, Shan Xue, Fanzhen Liu, Jia Wu et al. • IEEE Transactions on Neural Networks and Learning Systems (2022)

Detecting a community in a network is a matter of discerning the distinct features and connections of a group of members that are different from those in other communities. The ability to do this is of great significance in network analysis...

OPENALEX Open Access DOI: https://doi.org/10.1109/tnnls.2021.3137396

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Academic Articles & Research Papers

Collaborative Filtering Recommendation Algorithm Based on Semi-Autoencoder

Nonnegative/Binary matrix factorization for image classification using quantum annealing

Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features

Learning Image From Projection: A Full-Automatic Reconstruction (FAR) Net for Computed Tomography

A Comprehensive Survey on Community Detection With Deep Learning