2021
DOI: 10.55056/cte.298
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Adaptive toolkit of branch-oriented workshop environment for enlargement the cloud-based e-learning media platform

Abstract: The ways of providing comprehensive efficiency increase in communication facilities of the academic space are given with regard to stipulated methods of managing distributed network resources. Selected the user interfaces types are distinguished according to user actions in the studied subject area, which made it possible to justify and hierarchically organize the categories of adaptive toolkit of the branch-oriented workshop environment by the classes of components declared in the project, which are closely r… Show more

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Cited by 5 publications
(4 citation statements)
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References 54 publications
(52 reference statements)
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“…If the data has a large scale, it is very time-consuming to find the K nearest neighbors of user U based on the global User or Item in the process of computing KNN in collaborative filtering [6]. At this time, we can first use the clustering method to divide the crowd or items, and then carry out collaborative filtering recommendation in the cluster to which the target or Item belongs, and calculate KNN, which is better than the global collaborative filtering effect, and can solve the cold start problem of new users to a certain extent.…”
Section: Collaborative Filtering Algorithm With User Portraitmentioning
confidence: 99%
“…If the data has a large scale, it is very time-consuming to find the K nearest neighbors of user U based on the global User or Item in the process of computing KNN in collaborative filtering [6]. At this time, we can first use the clustering method to divide the crowd or items, and then carry out collaborative filtering recommendation in the cluster to which the target or Item belongs, and calculate KNN, which is better than the global collaborative filtering effect, and can solve the cold start problem of new users to a certain extent.…”
Section: Collaborative Filtering Algorithm With User Portraitmentioning
confidence: 99%
“…Abdula et al [1], Bilousova and Zhytienova [3], Fedorenko, Havrysh and Velychko [6], Hranovska and Laptyeva [8], Hrynevych et al [9], Kazhan et al [10], Kazhan and Karpiuk [11], Khomutenko [12], Kyslova and Slovak [15], Lavrentieva et al [16], Leshko and Rykova [17], Markova [19], Merzlykin [21], Modlo and Semerikov [22], Nechypurenko et al [23,24], Neroda, Slipchyshyn and Muzyka [25], Nezhyva, Palamar and Marienko [26], Ovcharuk et al [29], Prykhodko et al [32], Rassovytska and Striuk [33], Shapovalov et al [36], Sikora et al [37], Striuk [38], Striuk and Striuk [39], Teplytskyi [40], Zhorova et al [43] explored the classification and functions of electronic learning tools.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…The ways of providing comprehensive efficiency increase in communication facilities of the academic space are given by Tetyana V. Neroda, Lidia V. Slipchyshyn (figure 25) and Ivan O. Muzyka in the article "Adaptive toolkit of branch-oriented workshop environment for enlargement the cloud-based e-learning media platform" [140] with regard to stipulated methods of managing distributed network resources. Selected the user interfaces types are distinguished according to user actions in the studied subject area, which made it possible to justify and hierarchically organize the categories of adaptive toolkit of the branch-oriented workshop environment by the classes of components declared in the project, which are closely related to the scheme of learning experiment and are basic means for simulating transients.…”
Section: Session 5: Adaptive Cloud Learning Platformsmentioning
confidence: 99%