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An Intelligent Matching Algorithm of CDCI Model

Published: 28 July 2018 Publication History

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.

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cover image ACM Other conferences
ICCSE'18: Proceedings of the 3rd International Conference on Crowd Science and Engineering
July 2018
220 pages
ISBN:9781450365871
DOI:10.1145/3265689
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 July 2018

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Author Tags

  1. CDCI Model
  2. Intelligent Matching Algorithm
  3. Optimization
  4. compon1ent: E-commerce

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ICCSE'18

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ICCSE'18 Paper Acceptance Rate 33 of 89 submissions, 37%;
Overall Acceptance Rate 92 of 247 submissions, 37%

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