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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)
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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)
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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)
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.”
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