Resource investment adjustment method, device and computer-readable storage medium

Abstract

The invention discloses a method for adjusting the resource input of a message push for a user at a resource input adjustment unit, comprising: sending a push request to a message push judgment unit, where the push request includes the current resource input for the user's message push; A push result is received from the message push judgment unit, wherein, when the current resource input is the highest resource input among all the resource inputs saved by the message push judgment unit, the push result includes the next highest resource input among all the resource inputs saved by the message push judgment unit Resource input, and when the current resource input is not the highest resource input, the push result includes a push failure message; and when the push result includes the next highest resource input, the current resource input is lowered by a predetermined amount; and when the lowered current resource input is not less than When the resource input is the next highest, the current resource input is updated with the lowered resource input, so as to be used for sending the next push request to the message push judgment unit.

Description

technical field [0001] The present disclosure relates generally to messaging, and more particularly, to methods and apparatus for adjusting resource commitment for messaging to users. Background technique [0002] The traditional message push transaction mode relies on manual purchase of traffic, the transaction efficiency is low and the cost of obtaining traffic is high, which is not conducive to precise control of the input-output ratio of message push. The emergence of the real-time resource investment comparison transaction mode is a revolution in the news push industry, which makes the news push transaction change from the traditional manual and inefficient purchase method to the programmatic real-time purchase. In the transaction mode of real-time resource input comparison, the message push demand-side platform (DSP) obtains the target flow from the message push judgment unit (Adexchange) in the way of real-time resource input comparison. The specific transaction proc...

AI Technical Summary

Problems solved by technology

The website redirection algorithm based on user browsing behavior and the message push matching algorithm based on user tags are restricted by the characteristics of their respective algorithms. The input-output ratio does not meet the ultimate goal of e-commerce enterprise news push delivery; the resource investment for each person is fixed, and there is no obvious advantage in the game process of resource investment with other DSPs; the message push creativity is relatively single and cannot Accurately grasp user interests

[0014] In addition, the core idea of ​​the redirection algorithm based on user browsing behavior is to display the products they have browsed to users who have recently visited the site. This algorithm has the following shortcomings: it can only do relatively accurate delivery , traffic coverage is limited; resource investment is calculated based on user loyalty and access depth, making users more inclined to browse on the site, resulting in an uncontrollable conversion link from click to order in the site; after the maximum resource investment, display the user's recent browsing products, which is not conducive to the conversion of user orders

Compared with the redirection algorithm, the coverage of this algorithm will be greatly improved, but the message push click-through rate and input-output ratio indicators are much lower than the redirection algorithm. In terms of message push creativity, it is not enough to show users traditional message push materials. Effectively attract users' attention, this algorithm has few application scenarios in the e-commerce industry

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