首页|Studies from University of Electronic Science and Technology of China Reveal New Findings on Computational Intelligence (Heterogeneous-grained Multi-modal Graph Network for Outfit Recommendation)
Studies from University of Electronic Science and Technology of China Reveal New Findings on Computational Intelligence (Heterogeneous-grained Multi-modal Graph Network for Outfit Recommendation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning-Com putational Intelligence is the subject of a report. According to news reporting originating in Shenzhen, People's Republic of China, by NewsRx journalists, rese arch stated, 'With more consumers opting to purchase outfits online, a challenge facing e-commerce providers is to effectively model the compatibility of the ou tfits being recommended to the user. Existing models mainly consider the propaga tion of information within visual and textual modalities of the outfit, and over look the intrinsic compatibility and connection among items within the outfit and across multiple category views.'
ShenzhenPeople's Republic of ChinaAsiaComputational IntelligenceMachine LearningUniversity of Electronic Scien ce and Technology of China
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