Abstract
To explore the distributed dispatching and scheduling algorithm of educational resources, based on the vector space model, the user and resource description model is built. In addition, the user interest representation method based on the background and tense vector space model (BTVSM) is proposed, and the distributed architecture based on the scheduling server is used to provide the personalized distribution service to the resource users. At the same time, the task scheduling model and algorithm are analyzed. The task scheduling optimization based on ant colony algorithm is mainly used in the scheduling server, and the simulation experiment is designed to verify the effectiveness of distributed dispatching and task scheduling algorithm for educational resources. The experimental results prove the validity of the application of distributed dispatching and scheduling algorithm based on VSM in specific systems, and it can effectively solve the allocation problem between the resource user group and the distributed dispatching center.
Highlights
With the continuous accumulation of new resources and the increasing number of resource users, there is an obvious problem in the construction of educational resources: new resources cannot be updated to the user side of resources in time and the resource users are in urgent need of new resources
In the process of personalized distribution of resources, the user interest representation method based on the background and tense vector space model (BTVSM) is put forward
There is an urgent need for a unified communication platform to process and transmit multi-source data
Summary
With the continuous accumulation of new resources and the increasing number of resource users, there is an obvious problem in the construction of educational resources: new resources cannot be updated to the user side of resources in time and the resource users are in urgent need of new resources. How to realize effective resource distribution has become an urgent problem in the current educational resources construction, which is the bottleneck of restricting the development of educational resources and the further development of educational information. In the distribution of educational resources, the emphasis is put on the personalized needs of the resources users. In the process of personalized distribution of resources, the user interest representation method based on the background and tense vector space model (BTVSM) is put forward. The task scheduling optimization based on ant colony algorithm is adopted in the
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