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A method and system for intelligently retrieve and matching designer resource in furniture industry

A technology for designers and design capabilities, applied in the fields of furniture design and information technology, can solve problems such as insufficient precision and long retrieval cycles, and achieve the effects of improving efficiency, improving efficiency and quality, and optimizing design transaction processes

Pending Publication Date: 2019-02-01
北京航天智造科技发展有限公司
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Problems solved by technology

[0007] Based on fuzzy theory and artificial neural network model, the present invention adopts fuzzy neural network technology, multi-label data fuzzy set, artificial network distributed algorithm model, and well solves the problem of long retrieval period and insufficient precision of furniture design resources

Method used

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  • A method and system for intelligently retrieve and matching designer resource in furniture industry
  • A method and system for intelligently retrieve and matching designer resource in furniture industry
  • A method and system for intelligently retrieve and matching designer resource in furniture industry

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Embodiment Construction

[0048] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below through specific embodiments and accompanying drawings.

[0049] This embodiment provides a method for automatic retrieval and matching of designer resources in the furniture industry, such as figure 1As shown, the method includes:

[0050] Users, designers, and design agencies release design demand information or design capability information through the furniture design service platform;

[0051] The furniture design service platform reviews the information to ensure that the format and content of the information conform to the rules stated in the platform system interface (for example: the size and accuracy of the published pictures, the word limit for the published text, the requirements for the release date, etc.), to ensure that the platform can follow the rules. search match;

[0052] For data ...

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Abstract

The invention relates to a furniture industry designer resource intelligent retrieval matching method and system. The method comprises the following steps: a user, a designer and a design institutionpublish design demand information or design capability information through a furniture design service platform; The furniture design service platform audits the information, determines the informationformat, and the content conforms to the platform rules to ensure the retrieval matching according to the platform rules; The design requirement information and the design capability information are stored in the database of the cloud server, and the storage mode is based on the keywords, classification and attributes. In the cloud server, the design requirement information and the design capability information are automatically retrieved and matched based on the fuzzy neural network, and the matching results are arranged in descending order from high to low according to the matching degree, and the matching results are intelligently fed back to the users. The invention can improve the retrieval efficiency of furniture design resources, improve the matching precision of furniture design supply and demand docking, and realize intelligent retrieval and optimization matching of design demand description and design resources.

Description

technical field [0001] The invention belongs to the technical fields of information technology and furniture design, and in particular relates to an intelligent search and matching method and system for designer resources in the furniture industry. Background technique [0002] Fuzzy Theory is developed on the basis of fuzzy set theory, including five branches of fuzzy mathematics, fuzzy systems, uncertainty and information, fuzzy decision-making, fuzzy logic and artificial intelligence. In a fuzzy set, the affiliation of elements within a given range to it does not necessarily only have two cases of "yes" or "no", but a real number between 0 and 1 is used to represent the degree of membership, and there are intermediate transition states . [0003] Artificial Neural Networks (ANNs for short) is referred to as Neural Networks (NNs) or Connection Model (Connection Model), which is an algorithmic mathematical model that imitates the behavior characteristics of animal neural n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06Q30/0625
Inventor 唐蕾周亮刘铮石玉泉李娜唐辉
Owner 北京航天智造科技发展有限公司
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