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报纸媒体形象广告刍议 被引量:1
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作者 丁媛媛 秦岁明 《包装工程》 CAS CSCD 北大核心 2006年第5期292-294,共3页
通过对报纸媒体品牌定位和形象广告策划的阐述,探讨了报纸媒体如何通过自我形象广告,更好地提升品牌形象,从而提高报纸的知名度和发行量。以应对当今媒体经营环境的变化对报纸媒体的发展造成了压力和挑战。
关键词 报纸媒体 报纸形象广告 品牌定位 形象推广
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论卡通形象的传播策略 被引量:9
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作者 李芹燕 《新闻界》 CSSCI 北大核心 2008年第2期162-163,180,共3页
作为一种传播符号,卡通形象具有视听呈现具体可感、文化构成预先设定等特征。在传播过程中,通过整合卡通形象传播模式,综合运用各种传播策略,有利于打造并维护有持久生命力的卡通形象。
关键词 卡通形象 特征 传播 模式 策略
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A Bayesian Approach to Identify Photos Likely to Be More Popular in Social Media
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作者 Arunabha Choudhury Sriram Nagaswamy 《Journal of Computer and Communications》 2015年第11期198-204,共7页
With cameras becoming ubiquitous in Smartphones, it has become a very common trend to capture and share moments with friends and family in social media. Arguably, the 2 most relevant factors that contribute to the pop... With cameras becoming ubiquitous in Smartphones, it has become a very common trend to capture and share moments with friends and family in social media. Arguably, the 2 most relevant factors that contribute to the popularity are: the user’s social aspect and the content of the image (image quality, objects in the image etc.). In recent years, due to various security concerns, it has been increasingly difficult to derive social attributes from social media. Due to this limitation, in this paper we study what make images popular in social media based on the image content alone. We use Bayesian learning approach with variable likelihood function in order to predict image popularity. Our finding shows that a mapping between image content to image popularity can be achieved with a significant recall and precision. We then use our model to predict images that are likely to be more popular from a set of user images which eventually facilitate easy share. 展开更多
关键词 BAYESIAN Supervised Learning image popularITY Classification Data Mining
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