An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems

Research article (Expert Systems with Applications, 2019) · cited 44× · AI/ML
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An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems

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An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-distributed-predictive-model-with-matrix-factorization-and-random-forest-for-big-data-recommendation-system
MLA “An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-distributed-predictive-model-with-matrix-factorization-and-random-forest-for-big-data-recommendation-system.
BibTeX @misc{4ortxyz_an-effective-distributed-predictive-model-with-matrix-factorization-and-random-forest-for-big-data-recommendation-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-distributed-predictive-model-with-matrix-factorization-and-random-forest-for-big-data-recommendation-system}, note = {Accessed: 2026-05-24}}
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