SGD Matrix Factorization Algorithm: Difference between revisions
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** [[ALS Matrix Factorization Algorithm]]. | ** [[ALS Matrix Factorization Algorithm]]. | ||
* <B>See:</B> [[SGD Matrix Factorization System]]. | * <B>See:</B> [[SGD Matrix Factorization System]]. | ||
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== References == | == References == | ||
=== 2015 === | === 2015 === | ||
* ([[2015_FastandRobustParallelSGDMatrixF|Oh et al., 2015]]) ⇒ [[ | * ([[2015_FastandRobustParallelSGDMatrixF|Oh et al., 2015]]) ⇒ [[Jinoh Oh]], [[Wook-Shin Han]], [[Hwanjo Yu]], and [[Xiaoqian Jiang]]. ([[2015]]). “Fast and Robust Parallel SGD Matrix Factorization.” In: [[Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining]] ([[KDD-2015]]). ISBN:978-1-4503-3664-2 [http://dx.doi.org/10.1145/2783258.2783322 doi:10.1145/2783258.2783322] | ||
** QUOTE: ... [[Matrix factorization]] is known to be an effective method for [[recommender | ** QUOTE: ... [[Matrix factorization]] is known to be an effective method for [[recommender system]]s that are given only the ratings from users to items. Currently, [[stochastic gradient descent (SGD)]] is one of the most popular algorithms for [[matrix factorization]]. However, as a sequential … | ||
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[[Category:Concept]] | |||
Latest revision as of 21:14, 9 May 2024
An SGD Matrix Factorization Algorithm is a matrix factorization algorithm that ...
- Example(s):
- Counter-Example(s):
- See: SGD Matrix Factorization System.
References
2015
- (Oh et al., 2015) ⇒ Jinoh Oh, Wook-Shin Han, Hwanjo Yu, and Xiaoqian Jiang. (2015). “Fast and Robust Parallel SGD Matrix Factorization.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783322
- QUOTE: ... Matrix factorization is known to be an effective method for recommender systems that are given only the ratings from users to items. Currently, stochastic gradient descent (SGD) is one of the most popular algorithms for matrix factorization. However, as a sequential …