A method and system for intelligent recommendation of cable transactions

Abstract

The invention discloses an intelligent recommendation method and system for cable transactions. A recommendation algorithm based on content and collaborative filtering quantifies cable model parameters and customer requirements for different scenarios and applications, and transforms manual research and big data screening into intelligent recommendation. , which solves the problem of time-consuming and labor-intensive selection of cables for customers. At the same time, because the system considers the distinction between new and old customers and solves the problem of cold start, the system can stably and quickly recommend suitable cables for all customers, thereby promoting The sales of cable manufacturers have improved the convenience for customers to purchase cables. Secondly, in view of the insufficient historical data of some cables during the recommendation process, which leads to low recommendation satisfaction, the intelligent expansion network is used to expand the data and train the model, and obtain better results. The recommendation effect is improved, the accuracy of recommendation is improved, and the recommendation problem of small sample cable data is solved.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a method and system for intelligent recommendation of cable transactions. Background technique [0002] Cables are usually used to transmit electrical energy and signals, and are widely used in power systems, information transmission systems, mechanical equipment and instrumentation systems, and are indispensable commodities. When choosing a cable, customers not only need to consider the model parameters and quality of the cable itself, but also weigh the scale of the manufacturer, the region, service attitude, etc. The selection and evaluation of cables is often not a complicated task, but nowadays the cable trading market is huge. The variety and quality are uneven, and it is a challenging problem for customers to choose the right cable quickly and efficiently. [0003] At present, there are two main ways for enterprises to choose cable transactions: one is manual research, i...

AI Technical Summary

Problems solved by technology

This method consumes manpower and material resources, is inefficient, and the research results are often subject to the subjective influence of researchers, and has been gradually eliminated; the second is to select cables through information screening under big data. Although this method is fast, its screening The standard is only the customer's requirements for the cable, and it is difficult to accurately obtain the cable that meets the customer's needs. As a result, the customer still needs to spend a lot of energy to further inspect the product and its manufacturer, and the entire transaction process is inefficient.

[0004] In recent years, with the continuous development of data mining and machine learning, many recommendation systems have emerged to help users quickly select products. Therefore, this invention uses a large amount of data on cable products and customer transactions to propose an intelligent recommendation method and system for cable transactions. , using the recommendation algorithms based on content and collaborative filtering that have emerged in recent years, the unique labels and unique user portraits of cable products are used in the rapid recommendation of cables, from commonly used big data information screening to fast intelligent recommendation, making up for the Insufficient manpower and material resources in the transaction process

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