Ad Delivery Estimation and Recipient Selection
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Solution Overview
Problem
Existing advertisement delivery systems face inefficiencies in achieving the desired number of link clicks, as either insufficient or excessive deliveries can lead to falling short of or exceeding the target, resulting in reduced efficiency and increased server load.
Innovation Solution
An information processing device that estimates the number of additional selections needed, determines additional recipients based on actual selection rates, and controls deliveries to optimize the number of clicks, using a system that includes estimating, obtaining, element determination, recipient determination, and delivery control means to ensure the desired number of selections is met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a small number of advertisement deliveries are made, then the server load is reduced, but the number of actual selections falls short of the advertiser's desired number of selections
Solution Approach 1:
The system performs preliminary actions by estimating the number of selections to be further needed before the end of the counting period, and by pre-determining additional recipients based on actual selection rates from different limiting elements. This allows the system to proactively adjust delivery quantities to meet target selections without excessive server load.
Solution Approach 2:
The system dynamically adjusts the number of advertisement deliveries based on real-time monitoring of actual selection rates. By obtaining selection rates for multiple limiting elements and determining additional recipients dynamically, the system adapts delivery quantities to achieve desired selections while optimizing server resource utilization.
2Reliability
If an excessively large number of advertisement deliveries are made, then the probability of achieving the desired number of selections increases, but the server load is increased and efficiency in deliveries is reduced
Solution Approach 1:
The system implements feedback mechanisms by obtaining actual selection rates for multiple limiting elements and using this information to determine additional recipients. This feedback loop ensures that delivery quantities are adjusted based on actual performance data, maintaining high probability of achieving desired selections while avoiding excessive deliveries that would reduce efficiency.
Solution Approach 2:
The system changes parameters by selecting different limiting elements based on their actual selection rates. By dynamically adjusting which limiting elements are applied and how many additional recipients are selected, the system optimizes the balance between achieving desired selection targets and maintaining delivery efficiency.
Data Source
AI summary
An advertisement is delivered based on a first limiting element, a specified number of selections, and an expected selection rate. Based on an expected number of selections and an actual number of selections of the advertisement before the end of a counting period, the number of selections to be further needed at the end of the counting period is estimated. For each of a plurality of second limiting elements different from the first limiting element, an actual selection rate of the advertisement by a group, among the recipients of the advertisement, limited by the second limiting element is obtained. Based on the actual selection rates, a limiting element to be added to delivery requirements from among the plurality of second limiting elements is determined. Based on the determined limiting element, the corresponding actual selection rate, and the estimated number of selections, additional recipients of the advertisement are determined.