Method and system for displaying transaction information

Abstract

The invention discloses a method and a system for displaying transaction information. The method comprises the following steps of acquiring the transaction information of transactions completed in a preset time period, wherein the transaction information at least comprises transaction amount and transaction customer addresses; determining occurrence regions of the transaction information according to the transaction customer addresses; performing statistics on total transaction amount, which is completed in the preset time period, of each occurrence region on the basis of the transaction amount; determining an amount grade corresponding to the total transaction amount; determining an icon corresponding to the amount grade, wherein the display area of the icon is greater than that of an icon corresponding to an amount grade lower than the amount grade but is less than that of an icon corresponding to an amount grade higher than the amount grade; displaying the icon corresponding to the amount grade on the occurrence region of a transaction map. By adopting the method or the system disclosed by the invention, statistics can be performed on the transaction information in a network in real time, and the transaction information is visually displayed in a graphical manner.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a method and system for displaying transaction information. Background technique [0002] With the continuous development of e-commerce, more and more transactions can be completed in the network. For seller users in online transactions, they often hope to promote their own advantageous products. For the buyer users in online transactions, they often also hope to buy cheap and high-quality products. [0003] In the prior art, there are various recommendation methods for products in network transactions. However, these recommendation methods are mainly implemented based on fixed attributes such as the interest of a certain user or the price of a certain product. Therefore, these recommendation methods cannot centrally reflect the real-time choices of a large number of users, and are not real-time. Moreover, these recommendation methods mainly display recommendation infor...

AI Technical Summary

Problems solved by technology

Therefore, these recommendation methods cannot centrally reflect the real-time choices of a large number of users, and are not real-time

Moreover, these recommendation methods mainly use text to display recommendation information, which is not intuitive enough for users

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