首页|New Findings from East-West University Describe Advances in Machine Learning (Wh at Drives Users To Recommend Mobile Fitness Apps? a Three-stage Analysis Using P ls-sem, Machine Learning, and Fsqca)
New Findings from East-West University Describe Advances in Machine Learning (Wh at Drives Users To Recommend Mobile Fitness Apps? a Three-stage Analysis Using P ls-sem, Machine Learning, and Fsqca)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news originatingfrom Dhaka, Bangladesh, by NewsR x correspondents, research stated, “In response to the growing demandfor studie s into recommendation behaviour for mobile fitness apps, this study identified k ey drivers ofusers’ recommendation intentions through a comprehensive three-sta ge analysis incorporating PLS-SEM,machine learning, and fsQCA. The PLS-SEM anal ysis revealed that perceived task facilitation, experientialgratification, and fitness stratification enhanced flow state, while perceived operational facilita tion did not.”
DhakaBangladeshAsiaCyborgsEmergi ng TechnologiesMachine LearningEast-West University
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