Supervision commodity intelligent recommendation method and system in bulk commodity transaction

Abstract

The invention discloses a supervised commodity intelligent recommendation method and system in bulk commodity transaction. The method comprises four parts: data processing of bulk commodity transaction data and market data, market data associated commodity discovery, transaction data associated commodity discovery, and construction of an associated commodity set for intelligent recommendation and supervision of commodities. According to the invention, the problem that the commodity supervision range is fuzzy and uncertain in bulk commodity transaction supervision is solved. Firstly, data preprocessing operation is performed on historical market information and transaction information of commodities; secondly, the correlation of different commodity market data (price fluctuation and the like) is analyzed to obtain price fluctuation related commodities; then, correlation of different commodity transaction data (transaction behaviors and the like) is analyzed, and transaction event related commodities are obtained; and finally, the associated commodities are formed through integration of the two steps, finally, an associated commodity set is constructed, and intelligent recommendation is performed on the supervised commodities according to the supervised task information.

Description

technical field [0001] The invention belongs to the technical field of bulk commodity e-commerce supervision, and in particular relates to a method and system for intelligently recommending supervised commodities in bulk commodity transactions. Background technique [0002] In the process of supervising the electronic trading of bulk commodities, the objects of regulatory tasks usually include specific trading commodities. A variety of different commodities may be required in the regulatory request initiated by the regulator, and some other related commodities will also be involved in the regulatory process. In the traditional supervision method, the object of commodity supervision is single and fixed, which is prone to problems such as incomplete supervision of commodities; and the current transaction mode of the bulk commodity e-commerce market is complex and changeable, and there are many risks in the transaction process. Therefore, for bulk commodity transactions superv...

AI Technical Summary

Problems solved by technology

In the traditional supervision method, the object of commodity supervision is single and fixed, which is prone to problems such as incomplete supervision of commodities; and the current transaction mode of the bulk commodity e-commerce market is complex and changeable, and there are many risks in the transaction process. Therefore, for bulk commodity transactions regulation is necessary

However, in the actual application process, the object of goods that needs to be supervised is often set single and the direction is not clear. These problems increase the difficulty of inspection of abnormal goods, making it more difficult to find the abnormal goods related to abnormal goods and their upstream and downstream goods.

For example, in market transactions, the rise in the price of iron ore may often be caused by the abnormal price of its upstream and downstream commodities, which was difficult to find in the previous incomplete commodity supervision

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