基于SVD协同过滤的同风格图片推荐算法
Recommendation Algorithm of Pictures Having the Same Style Based on SVD
(在进行界面设计时最重要的一点就是保持界面的风格统一。为了降低UI设计师对产品UI风格统一性的维护成本,提出一种基于SVD协同过滤的同风格图片推荐算法。该算法根据项目过程中图片的使用与否,以1和0来构造评分矩阵,并对于每一个新的设计过程通过计算未使用图片与已使用图片之间的相似度预测图片风格是否一致,并使用奇异值分解来优化计算过程。实验结果表明,将该算法运用于同风格图片推荐是可行的,并且优化过后的算法能达到较高的推荐质量。
Style consistence is the most important thing in UI-design process. 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.
向博、李晗曦、张明会、李泽斌
计算技术、计算机技术
协同过滤图片推荐SVD。
collaborative filteringrecommendation of picturesSVD
向博,李晗曦,张明会,李泽斌.基于SVD协同过滤的同风格图片推荐算法[EB/OL].(2017-05-02)[2025-08-06].http://www.paper.edu.cn/releasepaper/content/201705-69.点此复制
评论