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Research on Color Expansion Method in Clothing Recommendation System

机译:服装推荐系统中颜色扩展方法的研究

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According to the problem of too few basic color cases given by experts in the clothing recommendation system, we find more similar colors of clothing recommended to users based on the color similarity calculation combined with RGB and HSV color space. The conversion of three-color representations by PANTONE, RGB and HSV is suitable for computer processing. On the basis of defining the space constraints of color expansion in each color type, we use color similarity calculation for color expansion. The computer programming simulation experiment shows that each color type is regular on the three dimensions of the RGB color space. Under experimental conditions, a single basic color case can expand to 300 similar colors, and the expansion results can be sorted according to the color similarity. The color similarity calculation method introduced in this paper can avoid the weakness of RGB color space inhomogeneous, and the calculation is simple. The method conforms to the rule of visual similarity judgment which is adapted to the expert's recommendation.
机译:针对服装推荐系统专家给出的基本色案例太少的问题,结合RGB和HSV色彩空间,通过颜色相似度计算,我们发现了更多推荐给用户的相似服装颜色。 PANTONE,RGB和HSV对三色表示的转换适用于计算机处理。在定义每种颜色类型的颜色扩展的空间约束的基础上,我们使用颜色相似度计算进行颜色扩展。计算机编程仿真实验表明,每种颜色在RGB颜色空间的三个维度上都是规则的。在实验条件下,单个基本颜色案例可以扩展到300种相似颜色,并且可以根据颜色相似性对扩展结果进行排序。本文介绍的颜色相似度计算方法可以避免RGB色彩空间不均匀的缺点,计算简单。该方法符合适用于专家推荐的视觉相似性判断规则。

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