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- W4312985955 abstract "Numerous entities are frequently encountered in various big data-related applications like wireless sensor networks [1–3], bioinformatics applications [4–9], social networks [10–13], user-service QoS [14, 15] and electronic commerce systems [16–18]. With the increasing number of involved entities, it becomes impossible to observe their whole interaction mapping. Hence, a resultant interaction mapping can be denoted by a high-dimensional and sparse (HiDS) matrix [19–23] with a few entries known (describing the observed interactions) while the most others unknown (describing the unobserved ones)." @default.
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- W4312985955 date "2022-01-01" @default.
- W4312985955 modified "2023-10-15" @default.
- W4312985955 title "Advanced Learning Rate-Free Latent Factor Analysis via P2SO" @default.
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- W4312985955 doi "https://doi.org/10.1007/978-981-19-6703-0_5" @default.
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