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首页> 外文期刊>Network Daily News >Studies from National Institute of Technology Raipur Describe New Findings in Networks (Deep Neural Network-based Multistakeholder Recommendation System Exploiting Multi-criteria Ratings for Preference Learning)
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Studies from National Institute of Technology Raipur Describe New Findings in Networks (Deep Neural Network-based Multistakeholder Recommendation System Exploiting Multi-criteria Ratings for Preference Learning)

机译:Studies from National Institute of Technology Raipur Describe New Findings in Networks (Deep Neural Network-based Multistakeholder Recommendation System Exploiting Multi-criteria Ratings for Preference Learning)

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By a News Reporter-Staff News Editor at Network Daily News – Currentstudy results on Networks have been published. According to news originating from Chhattisgarh, India,by NewsRx correspondents, research stated, “A commercially viable multi-stakeholder recommendationsystem maximizes the utility gain by learning the personalized preferences of multiple stakeholders, such asconsumers and producers. Existing multi-stakeholder studies rely on a consumer-item interaction matrixto evaluate the producers’ preferences and utility gain.”
机译:由一个新闻记者在网络新闻编辑每日新闻——当前已经出版。来自恰蒂斯加尔邦,印度,记者,研究表示,“商业上可行的多方利益相关者的建议最大化效用得到学习个性化偏好的多个利益相关者,如依靠现有的多方利益相关者研究消费项目交互矩阵生产者的偏好和效用收益。”

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    《Network Daily News》 |2023年第3期|85-86|共2页
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