Cable transaction intelligent recommendation method and system

Abstract

A cable transaction intelligent recommendation method and system are disclosed. A recommendation algorithm based on content and collaborative filtering is adopted, cable model parameters and demands of clients for different scene applications are converted into features, manual investigation and big data screening are converted into intelligent recommendation, so that the problem that the clients select cables with time and labor is solved. Since the system considers the distinguishing between new and old clients and solves the problem of cold start, the system can stably and quickly recommend appropriate cables to all clients, thereby promoting the sales of cable factories and improving the convenience of the clients to purchase the cables; in view of the condition of low recommendation satisfaction caused by insufficient historical data volume of some cables in the recommendation process, the intelligent expansion network is utilized to expand the data and train the model, so that a better recommendation effect is obtained, the recommendation accuracy is improved, and the recommendation problem of small-sample cable data is solved.

Description

Technical field [0001] The present invention relates to the field of large data technology, and more particularly to a method and system for cable transaction intelligence. Background technique [0002] Cables are commonly used to transmit electrical energy and signals, are widely used in the fields of power systems, information transmission systems, mechanical equipment, and instrumentation systems, are indispensable products. Customers not only need to consider the model parameters and quality of the cable itself, but also we must weigh the scale of the manufacturer, the area, service attitude, etc., the selection and evaluation of the cable is often not a complex task, but the cable trading market is huge, the cable The variety and quality of the quality are uniform. How can customers quickly and efficiently choose a suitable cable is a challenging issue. [0003] There are two main ways in the current corporate cable transaction: one is manual research, and the customer conta...

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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