2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) 2018
DOI: 10.1109/iemcon.2018.8615069
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Computational Intelligence Strategies for Effective Collaborative Decisions

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“…Matrix Factorization is an algorithm for collaborative filtering recommendation. A fast Tensor Factorization (TF) algorithm is applied for context-aware recommendation from implicit feedback [40]; for better accuracy, it includes all unobserved data to train a TF based context-aware recommender method by scrutinizing the matrix calculation of the closed form solution and memorizing the repetitive calculation to accelerate the process.…”
Section: Recommender Systems For Big Datamentioning
confidence: 99%
“…Matrix Factorization is an algorithm for collaborative filtering recommendation. A fast Tensor Factorization (TF) algorithm is applied for context-aware recommendation from implicit feedback [40]; for better accuracy, it includes all unobserved data to train a TF based context-aware recommender method by scrutinizing the matrix calculation of the closed form solution and memorizing the repetitive calculation to accelerate the process.…”
Section: Recommender Systems For Big Datamentioning
confidence: 99%