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Collaborative Filtering Algorithm in Pictures Recommendation Based on SVD

机译:基于SVD的图片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,如何从海量信息中寻找满足自身需求的图片,一直是制约UI设计人员效率的主要因素。为了降低设计者维护UI风格一致性的成本,提出了一种基于SVD协同过滤的具有相同风格的图片推荐算法。该算法根据是否使用图像计算等级矩阵为0或1,并计算在每个新设计过程中已使用和未使用的图片的相似度,以预测它们是否为相同样式,以及通过SVD优化计算。实验结果表明,该算法是有效的,通过SVD优化后可以推荐高质量的图片。

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