Supplier recommendation method and system based on collaborative filtering algorithm and related equipment
A collaborative filtering algorithm and recommendation method technology, applied in the field of supplier recommendation based on collaborative filtering algorithm, can solve problems such as inability to recommend parts, achieve the effect of solving the problem of data sparseness and improving accuracy
Pending Publication Date: 2022-08-02
GUANGDONG UNIV OF TECH
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[0005] In order to solve the above problems, the embodiment of the present invention provides a supplier recommendation method, system and related equipment based on a collaborative filtering algorithm, so as to solve the problem that the existing recommendation method cannot make recommendations according to the manufacturer's preference for parts
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[0036] In order to express clearly the objectives, technical solutions and advantages of the present invention, a clearer and complete description is given below in conjunction with the accompanying drawings, accompanying tables and embodiments. It should be noted that the functions of the following examples are only intended to illustrate the present invention, but do not limit the scope of the present invention.
[0037] Please refer to figure 1 , figure 1 It is a flow chart of the steps of the supplier recommendation method based on the collaborative filtering algorithm provided by the embodiment of the present invention, and the method includes the following steps:
[0038] S1. Build an RFMC model between the manufacturer and the commodity, and calculate the RFMC value corresponding to the RFMC model. The manufacturer and the commodity include multiple types, and each type of the commodity corresponds to a supplier. The RFMC value includes four indicators of purchase tim...
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The invention is suitable for the field of data analysis, and provides a supplier recommendation method and system based on a collaborative filtering algorithm and related equipment, and the method comprises the steps: S1, constructing an RFMC model between a manufacturer and a commodity, and calculating an RFMC value; s2, performing weighted summation on the RFMC values to obtain an RFMC score; s3, constructing a score matrix by using RFMC scores; s4, dividing the scoring matrix by using a clustering algorithm to obtain a scoring sub-matrix, and calculating a filling scoring matrix by using a Baseline algorithm; s5, calculating the similarity between different commodities, and constructing a commodity similarity matrix; and S6, calculating a plurality of similar commodities according to the commodity similarity matrix, grouping the commodities according to the categories of the suppliers, obtaining interestingness of manufacturers on the commodities, and generating a supplier recommendation list. According to the method, supplier recommendation oriented to manufacturers is realized by calculating the interestingness of the manufacturers to the commodities.
Description
technical field [0001] The invention belongs to the field of data analysis, and in particular relates to a supplier recommendation method, system and related equipment based on a collaborative filtering algorithm. Background technique [0002] Today, with the deep integration of industrialization and informatization, the total amount of data is increasing exponentially. The manufacturing industry is faced with a huge and complex amount of data, and data itself, as a resource, how to mine, develop and utilize data has become a A critical issue for businesses. In previous studies, most of the research on the relationship between customers and suppliers has focused on the customer, but little attention and analysis have been paid to suppliers. The evaluation and selection of suppliers are A classic problem of optimal allocation of resources in the manufacturing process. With the development of the times, the manufacturing mode has also undergone adaptive changes, and the rele...
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IPC IPC(8): G06F16/9535G06F16/9536G06Q50/00
CPCG06F16/9535G06F16/9536G06Q50/01Y02P90/30
Inventor 曾俊宁邢玛丽鲁仁全吴元清叶燕燕
Owner GUANGDONG UNIV OF TECH