A personalized outfit recommendation has emerged as a hot research topic in the fashion domain.However,existing recommendations do not fully exploit user style preferences.Typically,users prefer particular styles such...A personalized outfit recommendation has emerged as a hot research topic in the fashion domain.However,existing recommendations do not fully exploit user style preferences.Typically,users prefer particular styles such as casual and athletic styles,and consider attributes like color and texture when selecting outfits.To achieve personalized outfit recommendations in line with user style preferences,this paper proposes a personal style guided outfit recommendation with multi-modal fashion compatibility modeling,termed as PSGNet.Firstly,a style classifier is designed to categorize fashion images of various clothing types and attributes into distinct style categories.Secondly,a personal style prediction module extracts user style preferences by analyzing historical data.Then,to address the limitations of single-modal representations and enhance fashion compatibility,both fashion images and text data are leveraged to extract multi-modal features.Finally,PSGNet integrates these components through Bayesian personalized ranking(BPR)to unify the personal style and fashion compatibility,where the former is used as personal style features and guides the output of the personalized outfit recommendation tailored to the target user.Extensive experiments on large-scale datasets demonstrate that the proposed model is efficient on the personalized outfit recommendation.展开更多
从学术期刊发表的公开学术论文角度探析军事领域研究热点和发现新兴研究话题是该领域学者们普遍关心的问题。梳理国际军事类知名学术期刊的基本情况并在此基础上跟踪掌握国际同行研究热点和前沿发展动向,不仅可为国防科技政策制定的管...从学术期刊发表的公开学术论文角度探析军事领域研究热点和发现新兴研究话题是该领域学者们普遍关心的问题。梳理国际军事类知名学术期刊的基本情况并在此基础上跟踪掌握国际同行研究热点和前沿发展动向,不仅可为国防科技政策制定的管理部门提供决策支持,也能为从事相关研究领域的科技工作者提供具体建议,更能为国内期刊建设单位开展选题策划和提升学术水平提供重要参考。WebofScience数据库是当前世界范围内学术界公认的权威引文数据库,其来源期刊上发表的学术论文能够反映国际学术界的研究热点和前沿内容。本文基于2020年科睿唯安公司发布的年度期刊引证报告,用人工判读与专家咨询相结合的方式,对Web of Science数据库中38本军事类学术期刊进行了梳理和讨论;在此基础上,使用文献计量学方法,详细分析了近5年这部分学术期刊发表文献的研究热点和前沿、作者和研究机构地域分布等内容,以期对《国防科技》的选题策划和学术影响力提升提供参考及借鉴。展开更多
基金Shanghai Frontier Science Research Center for Modern Textiles,Donghua University,ChinaOpen Project of Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment,Zhengzhou University of Light Industry,China(No.IM202303)National Key Research and Development Program of China(No.2019YFB1706300)。
文摘A personalized outfit recommendation has emerged as a hot research topic in the fashion domain.However,existing recommendations do not fully exploit user style preferences.Typically,users prefer particular styles such as casual and athletic styles,and consider attributes like color and texture when selecting outfits.To achieve personalized outfit recommendations in line with user style preferences,this paper proposes a personal style guided outfit recommendation with multi-modal fashion compatibility modeling,termed as PSGNet.Firstly,a style classifier is designed to categorize fashion images of various clothing types and attributes into distinct style categories.Secondly,a personal style prediction module extracts user style preferences by analyzing historical data.Then,to address the limitations of single-modal representations and enhance fashion compatibility,both fashion images and text data are leveraged to extract multi-modal features.Finally,PSGNet integrates these components through Bayesian personalized ranking(BPR)to unify the personal style and fashion compatibility,where the former is used as personal style features and guides the output of the personalized outfit recommendation tailored to the target user.Extensive experiments on large-scale datasets demonstrate that the proposed model is efficient on the personalized outfit recommendation.
文摘从学术期刊发表的公开学术论文角度探析军事领域研究热点和发现新兴研究话题是该领域学者们普遍关心的问题。梳理国际军事类知名学术期刊的基本情况并在此基础上跟踪掌握国际同行研究热点和前沿发展动向,不仅可为国防科技政策制定的管理部门提供决策支持,也能为从事相关研究领域的科技工作者提供具体建议,更能为国内期刊建设单位开展选题策划和提升学术水平提供重要参考。WebofScience数据库是当前世界范围内学术界公认的权威引文数据库,其来源期刊上发表的学术论文能够反映国际学术界的研究热点和前沿内容。本文基于2020年科睿唯安公司发布的年度期刊引证报告,用人工判读与专家咨询相结合的方式,对Web of Science数据库中38本军事类学术期刊进行了梳理和讨论;在此基础上,使用文献计量学方法,详细分析了近5年这部分学术期刊发表文献的研究热点和前沿、作者和研究机构地域分布等内容,以期对《国防科技》的选题策划和学术影响力提升提供参考及借鉴。
