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Collaborative Filtering Algorithm in Pictures Recommendation Based on SVD

机译:基于SVD的图像推荐中的协同过滤算法

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Under the environment of information exploding, how to find pictures from the massive information to meet their own needs, has been a major factor restricting the efficiency of UI designers. In order to reduce the cost of maintaining style consistence of UI for designers, this paper proposes a recommendation algorithm of pictures having the same style based on SVD collaborative filtering. This algorithm computes rating matrix by 0 or 1 according to whether the images are used or not, and it calculates the similarity of pictures which have been used and which have not during each new design process to predict whether they are in the same style, and optimize the calculation by SVD. It is shown in the experimental results that this algorithm is effective and it can recommend pictures of high-quality after being optimized by SVD.
机译:在信息爆炸的环境下,如何查找来自大规模信息的图片以满足自己的需求,一直是限制UI设计师效率的主要因素。为了降低维护UI的ui的风格一致的成本,提出了一种具有基于SVD协作滤波的相同风格的图片推荐算法。根据是否使用图像,该算法通过0或1计算额定值矩阵,并且它计算已使用的图片的相似性,并且在每个新的设计过程中没有在每个新的设计过程中预测它们是否具有相同的样式。通过SVD优化计算。它在实验结果中显示了该算法是有效的,它可以推荐通过SVD优化后的高质量照片。

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