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Design of Attention-Based Recommendation Learning Mechanism in the Cloud Computing Environment

机译：云计算环境中注意力推荐学习机制的设计

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Although there have been many past studies concerning recommendation learning, such studies have ignored that, in addition to recommending learning content to the learners for browsing and learning, the system should also observe their subsequent learning attention status. The premise of effective learning is that learners must exhibit a certain extent of attention during the learning process. The development of a cloud learning environment with an attention detection mechanism could create an attention-oriented recommendation learning service platform, through which learners would be able to learn at any time and place, and their learning state could be instantaneously observed. This would also allow the utilization of high-speed computing in a cloud computing environment and the sharing of large amounts of learning resources. Therefore, the study establishes an attention-oriented recommendation learning service system in a cloud learning environment to compare the attention differences in the learners' learning.
机译：虽然有许多关于推荐学习的研究，但这些研究忽略了，除了向学习者推荐学习内容进行浏览和学习之外，还应观察他们随后的学习注意力状态。有效学习的前提是学习者在学习过程中必须在一定程度上表现出一定程度的关注。具有注意力检测机制的云学习环境的发展可以创造一个引起关注的推荐学习服务平台，学习者能够在任何时候和地点学习，并且他们的学习状态可以瞬间观察到。这还允许利用云计算环境中的高速计算和大量学习资源的共享。因此，该研究在云学习环境中建立了关注的推荐推荐学习服务系统，以比较学习者学习的关注差异。

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