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Textile raw material recommendation method and device and processor

A recommendation method and raw material technology, applied in the computer field, can solve the problems of inability to realize intelligent recommendation and low recommendation accuracy, and achieve the effect of intelligent raw material product recommendation

Pending Publication Date: 2021-11-02
上海致景信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method of calculating scores separately for raw material recommendation has low recommendation accuracy and cannot realize intelligent recommendation

Method used

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  • Textile raw material recommendation method and device and processor
  • Textile raw material recommendation method and device and processor
  • Textile raw material recommendation method and device and processor

Examples

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Embodiment Construction

[0032] The specific implementation manners of the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation manners described here are only used to illustrate and explain the embodiments of the present application, and are not intended to limit the embodiments of the present application.

[0033] figure 1 A schematic flowchart of a method for recommending textile raw materials according to an embodiment of the present application is schematically shown. Such as figure 1 As shown, in an embodiment of the present application, a method for recommending textile raw materials is provided, including the following steps:

[0034] Step 101, acquiring user behavior data.

[0035] Step 102, according to the behavior data, determine the user's degree of interest in textile raw material commodities in various dimensions and the user similarity between users.

[0036] ...

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Abstract

The embodiment of the invention provides a textile raw material recommendation method and device, a processor and a storage medium. The method comprises the steps of obtaining behavior data of a user; according to the behavior data, determining the interest degree of the user for the textile raw material commodity in each dimension and the user similarity between the users; determining a first recommendation candidate set for the user according to the interest degree; determining the raw material similarity between the raw material commodities; determining a second recommendation candidate set of the users according to the user similarity and the raw material similarity; inputting at least one of the behavior data of the user, the raw material features of the textile raw materials and the context information into a prediction model to determine a third recommendation candidate set of the user; determining a final recommendation set of the user according to the first recommendation candidate set, the second recommendation candidate set and the third recommendation candidate set; and determining the raw material commodities included in the final recommendation set as recommended raw material commodities for the user.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a textile raw material recommendation method, device, storage medium and processor. Background technique [0002] The company has raw material supply business and greige cloth production platform business. It hopes to recommend to users to optimize the ranking of raw material recommendation through the factory data of greige cloth production, data related to raw materials, and user behavior of raw material recommendation positions, so as to increase the click-through rate of raw materials, thereby Increase turnover rate. [0003] The existing implementation method in the industry is relatively simple. Generally, the relevant dimension data is obtained through ETL processing, and after normalization, weighted summation is performed to obtain the comprehensive score and then output in reverse order. This method of calculating scores separately for raw material recommen...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/02G06Q50/04G06K9/62
CPCG06Q30/0631G06Q50/04G06Q30/0201G06F18/22Y02P90/30
Inventor 赵振洪陈钟浩管瑞峰
Owner 上海致景信息科技有限公司
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