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

Abstract

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.