Research Area:  Machine Learning
In order to solve the problems of text information filtering, such as low filtering efficiency and accuracy, and too much use of network resources, a distributed text information filtering method based on multi-agent is proposed, which schemes out the architecture and working mechanism of distributed text information filtering, designs the scheduling response agent and learning agent in detail, and adopts dynamic interval adaptive load balancing migration (DRALM) strategy for load measurement. The experimental results show that the filtering method not only has high filtering accuracy, but also can process tasks in multiple machines, balance the computational load effectively, and has high filtering performance.
Author(s) Name:  Wuxue Jiang
Journal name:  International Journal of Reasoning-based Intelligent Systems
Publisher name:   Inderscience
Volume Information:  Vol. 13, No. 3,pp 123-131
Paper Link:   https://www.inderscienceonline.com/doi/abs/10.1504/IJRIS.2021.117074