An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs

Research article (Information Sciences, 2018) · cited 45× · AI/ML
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An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs

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An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs is a scholarly article[1].

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  • An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-manifold-regularized-sparse-non-negative-matrix-factorization-model-for-large-scale-recommender-systems-on-
MLA “An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-manifold-regularized-sparse-non-negative-matrix-factorization-model-for-large-scale-recommender-systems-on-.
BibTeX @misc{4ortxyz_an-efficient-manifold-regularized-sparse-non-negative-matrix-factorization-model-for-large-scale-recommender-systems-on-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient manifold regularized sparse non-negative matrix factorization model for large-scale recommender systems on GPUs}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-manifold-regularized-sparse-non-negative-matrix-factorization-model-for-large-scale-recommender-systems-on-}, note = {Accessed: 2026-05-24}}
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