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• W3088211930 abstract "The increasing gap in shopfloor operators’ skillset regarding advanced information and communication technologies along with workforce’s diversity require a cognitive system bridging such technical gaps in order to address evolving production demands and satisfy the human need for self-fulfillment and self-actualization at work. This study discusses on a two-level collaborative filtering approach to improve the distribution of information content provided to an operator for completing a manufacturing activity while considering his or her feedback. A prototype implementation is evaluated in a case study related to the operator’s job rotation on a shopfloor that involves multiple workstations and tasks." @default.
• W3088211930 created "2020-10-01" @default.
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• W3088211930 date "2020-01-01" @default.
• W3088211930 modified "2023-09-27" @default.
• W3088211930 title "A machine learning approach for improved shop-floor operator support using a two-level collaborative filtering and gamification features" @default.
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• W3088211930 doi "https://doi.org/10.1016/j.procir.2020.05.160" @default.
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