澳门3044永利官网倪渊教授的论文“Is there a better approach to assessing the value of variety shows? A dual-driven method integrating data and knowledge”于2025年4月在计算机科学领域期刊《Entertainment Computing》（JCR 2区）正式发表。同时，凭借在计算机科学、服务科学与社会计算等交叉领域的卓越成果与贡献，倪渊教授荣获了25th edition of International Research Awards on Computer Vision的“Best Researcher Award”奖项。

文章摘要：

Variety shows have achieved significant success in cross-border copyright trading, attracting considerable attention from international investors. There is a need for a method that can effectively integrate data and knowledge to evaluate the diverse values of variety shows, thereby assisting international investors in selecting the most suitable variety shows for investment. In light of this, this study analyzes the formation mechanism of the comprehensive value of variety shows based on media ecosystem theory, and subsequently constructs a three-dimensional value assessment index system covering the “media level, economic level, and social level”. Simultaneously, the study addresses the practical need for data-based assessment, employing a dual-driven approach that integrates data and knowledge. The result is the construction of the LDC-GV model, facilitating a comprehensive evaluation of the value of variety shows. In this study, we systematically gathered data on pop-up comments and derivative evaluations for 20 cross-platform variety shows, totaling 301,994 items. These data were utilized for empirical evaluation, and we conducted a methodological analysis in comparison with the knowledge-driven and data-driven approaches. The empirical results demonstrate that the dual-driven method, combining knowledge and data, can comprehensively and objectively assess the overall value of variety shows more effectively than the other two approaches. This method not only mitigates ambiguity and randomness in the assessment process but also yields a more reliable and accurate ranking of variety shows. The study delves into diverse perspectives and methodologies for evaluating the value of variety shows, with the overarching aim of providing decision support for the international copyright trade of such shows.

关键词：

Variety shows

Media ecosystem

Value assessment

Data-knowledge-driven approach

论文信息：

Yuan Ni, Xiaona Li, Yudong Gao, Jian Zhang, Pengfei Han,Is there a better approach to assessing the value of variety shows? A dual-driven method integrating data and knowledge,Entertainment Computing, 2025, 54:100951.

  

作者简介：

倪渊,任职于澳门3044永利官网,兼任北京大数据协会数据专业委员会副主任委员。获国家重点研发计划青年项目首席科学家、北京市社会科学基金青年学术带头人、北京市科学技术协会青年托举人才、北京市组织部优秀人才、北京市科协决策咨询专家团队青年研究员等称号，获中国商业联合会服务业科技创新奖一等奖、北京科技人才研究会麒麟科学技术奖一等奖。

主要从事服务科学与服务创新领域的基础与应用研究。主持国家重点研发计划青年科学家项目、国家重点研发计划课题、国家自然科学基金项目、国家科技支撑计划等10余项省部级以上科研项目。在《南开管理评论》、《管理评论》、《科学学研究》、Waste Management等国内外高水平期刊上发表学术论文40余篇，出版专著7部，参与制定数据资源交易与服务创新领域国家标准2项、团体标准8项，授权专利4项，完成成果转化5项。

（供稿：李晓娜 审核：倪渊）