广告自动创意系统中基于Case的综合方法

CASE-BASED SYNTHESIS IN AUTOMATIC ADVERTISING CREATION SYSTEM

广告是一个重要的设计领域.尽管目前已有许多交互式的广告设计软件投入商业使用,但没有一个能支持智能性工作—自动的广告创意,这是一个具有巨大潜力的方面.本文描述的是自动广告创意系统(AACS)方面的研究工作.在对人类广告设计师思维行为进行仔细分析的基础上,我们得出这样的结论:基于Case的推理适于描述这类智能模型.本文中给出了AACS的模型.在广告系统中,一个Case由二部分描述:创意过程及广告图的结构.文中给出具体的数据结构,并给出Case推理的算法,及相应的一些问题如相似度计算、Case的选择等等,

The advertising(ads) is an important design area. Though, many interactive ads design software have come into commercial use. none of them ever support the intelligent work-automatic ads creation. The potential for this is enormous. This paper gives a description of our current work in research of an Automatic Advertising Creation System(AACS). After careful analysis of the mental behavior of a human ads designer, we conclude that ease-based approach is appropriate to its intelligent modelling. A model for AACS is given in the paper. A case in ads is described as two parts: the creation process and the configuration of the ads picture, with detailed data structures given in the paper. Along with the case representation, we put forward an algorithm. Some issues such as similarity measure computing, case adaptation have also been discussed.