深度学习视角下红色文献资源推荐服务模型分析与探讨

Analysis and Discussion of Red Document Resource Recommendation Service Model from the Perspective of Deep Learning

作为大数据时代针对用户服务设计的有力工具,深度学习为红色文献资源推荐服务提供了全新的发展思路与技术保障。首先,对国内红色文献资源推荐服务的发展历程进行梳理与总结;随后,基于针对深度学习相关实践应用的概括,总结深度学习在目前红色文献资源推荐服务中的应用现状;然后,提出深度学习视角下针对文献资源与读者需求的混合式红色文献资源推荐模型;最后,从特征关联、情景模拟、用户兴趣三个具体方面,针对红色文献资源推荐模式进行研究与分析,为信息化快速发展背景下红色文献资源推荐服务提供借鉴。

As a powerful tool for user service design in the era of big data,deep learning provides a new development idea and technical support for red document resource recommendation service.Firstly,the development process of domestic red document resource recommendation service is sorted out and summarized.Secondly,the application status of deep learning in the current red document resource recommendation service is summarized based on the generalization of the related practice and application of deep learning.Thirdly,a blended red document resource recommendation model based on document resources and readers needs is proposed from the perspective of deep learning.Finally,the red document resource recommendation service model is discussed from three specific aspects of feature association,scenario simulation and user interest,which could provide reference for the red document resource recommendation service under the background of the rapid development of information technology.