摘要
当前的文献资源智能推荐矩阵多为单目标的,资源推荐效率较低,导致文献推荐耗时长,为此以海南省为例,提出基于数字媒体技术的文献资源智能推荐方法。首先,根据实际的推荐需求及标准设定基础推荐指标,采用多目标形式提升资源推荐效率;其次,建立多目标协同推荐关系矩阵,采用自适应交互分析实现精准推荐;最后,进行测试分析。测试结果表明,该方法的文献推荐耗时被较好地控制在0.3 s以下。
The current intelligent recommendation matrix for literature resources is mostly single objective,with low resource recommendation efficiency,resulting in long literature recommendation time.Therefore,taking Hainan province as an example,a digital media technology-based intelligent recommendation method for literature resources is proposed.Firstly,set basic recommendation indicators based on actual recommendation needs and standards,and adopt a multi-objective approach to improve resource recommendation efficiency.Secondly,establish a multi-objective collaborative recommendation relationship matrix and use adaptive interaction analysis to achieve precise recommendations.Finally,conduct testing analysis.The test results indicate that the literature recommendation time of this method is well controlled below 0.3 s.
作者
孟殷
MENG Yin(School of Media and Cultural Industry,University of Sanya,Sanya Hainan 572000,China)
出处
《信息与电脑》
2023年第12期4-6,共3页
Information & Computer
基金
2021三亚学院校内青年教师专项培养科研项目“基于海南自贸港背景下的数字媒体艺术研究”(项目编号:USYQNZX21-47)。
关键词
数字媒体技术
文献资源
智能推荐
海南省
digital media technology
literature resources
intelligent recommendation
Hainan province
