Application of AI-enabled Academic Periodical Publishing in Reader Service Scenarios
With the advancement of media technology,the reader service mode of academic journals is also developing constantly,and it is currently in the stage of intelligent service.However,its service concept has not kept up,and traditional academic journals pay too much attention to author service and ignore reader service.In fact,being accepted by readers is the core starting point of publishing work.Only by meeting the needs of readers and providing services centered on readers can academic journals truly reflect their value and fulfill their mission.To enhance reader service capabilities,the study explores the pathways for the application of artificial intelligence in scenarios such as literature retrieval recommendations,intelligent reading,academic collaboration,and evaluation and measurement of academic work.Nevertheless,it is essential to acknowl-edge and address the privacy and security concerns,information filtering,algorithm biases,and inadequate interactive com-munication associated with artificial intelligence,so as to provide better service and support for research innovation.
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