Transfer cash bill combination pushing method and device

Abstract

The embodiment of the invention provides a transfer cash bill combination pushing method and device. The method comprises the following steps: dividing a pre-acquired target bill combination total amount range into a plurality of amount sub-intervals; generating a linear constraint model corresponding to each amount sub-interval, obtaining a target value of each linear constraint model, wherein the linear constraint model is used for solving the minimum value in the feature summary values corresponding to each preset bill combination to serve as the target value, the bill combination comprisesa plurality of discounted bills which are not expired at present; and selecting the minimum target value from the target values of the linear constraint models, and determining the bill combination corresponding to the minimum target value as a target transfer bill combination for pushing to the target user. According to the invention, on the basis of ensuring that the obtained transfer bill combination is the current optimal combination, the efficiency of obtaining the transfer bill combination can be effectively improved, and the accuracy and efficiency of pushing the transfer bill combination to the bill purchaser can be effectively improved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a method and device for pushing discounted bill combinations. Background technique [0002] Bill discounting refers to the behavior of banks and other financial institutions to transfer and sell unexpired discounted bills to another financial institution in the form of discount in order to obtain working capital. Usually, the buyer of the bill will propose the total amount of the bill and the range of the term of the bill he expects. A group of notes with the lowest possible weighted discount rate is sold to customers. [0003] In some financial institutions, the stock of bills can usually reach thousands or more. After the customer puts forward the purchase conditions, the system of the financial institution needs to provide an optimal package of bills to the customer within a few seconds (for example, 8 seconds). . The current method is mainly to select...

AI Technical Summary

Problems solved by technology

The current method is mainly to select bills for grouping based on the sorting method. However, although this method can meet the timeliness requirements, the weighted discount rate of the combined bill package is often not optimal.

To obtain the optimal package plan, it can be obtained by transforming the problem into a nonlinear optimization problem with constraints, but the solution speed of the current nonlinear optimization problem in the industry is not very fast, usually when the variables In many cases, it takes more than several hours of calculation to find the optimal solution. That is to say, the existing push method of the rediscount bill combination cannot take into account the optimality and timeliness of the rediscount bill combination at the same time, and thus cannot realize the optimal solution. The push accuracy and efficiency of the bill buyer

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