An Intelligent Matching Algorithm of CDCI Model

Yixuan Nan, Yi Liu, Y. Chai
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Abstract

This paper aims to study the intelligent recommendation algorithm and Crowd-designing Clothing Industry (CDCI) model to propose a new intelligent matching algorithm called CDCI-matching algorithm and correspondingly improve the CDCI model. The algorithm draws on the principle of Page Rank and method of graph computing. Different from the original ones, we optimize the algorithm with the expansion of graph and rational set of the edge weight to match the application scenarios of the improved CDCI model. Further more, in order to illustrate the effectiveness and soundness of the model, the algorithm will be used to implement real matching process in the prototype system of novel E-commerce platform.
CDCI模型的智能匹配算法
本文旨在研究智能推荐算法和人群设计服装行业(Crowd-designing Clothing Industry, CDCI)模型,提出一种新的智能匹配算法——CDCI-匹配算法,并对CDCI模型进行相应的改进。该算法借鉴了页面排名的原理和图计算的方法。与原有算法不同的是,我们通过图的展开和边权的有理集对算法进行优化,以匹配改进后的CDCI模型的应用场景。进一步,为了说明该模型的有效性和合理性,将该算法应用于新型电子商务平台原型系统的实际匹配过程中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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