Search-Driven Advertisement Delivery With Automated Product Bidding
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Solution Overview
Problem
The existing advertisement delivery processes on e-commerce platforms are complex due to the need for separate configurations and bidding parameters for different types of advertisements, requiring manual operations that can be tedious and costly.
Innovation Solution
An intelligent advertisement delivery method that automatically matches product information with search requests, estimates promotional performance metrics, and performs intelligent bidding to determine eligibility for promotional display, simplifying the process and reducing operational costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate bidding configurations are provided for different advertisement types (SS and SP), then advertisers can precisely control each ad type's performance, but the delivery process becomes complex and operationally tedious
Solution Approach 1:
The patent merges separate bidding configurations for SS and SP advertisement types into a unified bidding framework. The system automatically determines bidding strategies and premium allocations across different ad types based on a single set of advertiser preferences and performance goals, eliminating the need for manual separate configurations while maintaining precise performance control through integrated optimization algorithms
Solution Approach 2:
The system implements self-service automation where the advertising platform automatically performs bidding decisions, premium calculations, and delivery optimization without requiring manual advertiser intervention. The system monitors performance metrics in real-time and autonomously adjusts bidding parameters across different advertisement types to achieve desired performance outcomes
2Adaptability or versatility
If manual bidding and premium configuration are required for each product and advertisement type, then advertisers can customize ad strategies, but operational effort and costs increase significantly
Solution Approach 1:
The patent implements preliminary action by having advertisers set high-level preferences, budget constraints, and performance goals in advance. The system then automatically generates and executes detailed bidding strategies for each product and advertisement type based on these pre-configured parameters, eliminating the need for continuous manual adjustments while maintaining customized advertising approaches
Solution Approach 2:
The system creates a universal bidding framework that automatically adapts to different advertisement types (SS and SP) and product categories. A single configuration system serves multiple functions by generating customized bidding strategies across diverse ad types and products, maintaining adaptability while reducing operational complexity through standardized automated processes
3Measurement precision
If multiple bidding parameters and premiums are configured separately for different positions and user groups, then advertisement targeting precision improves, but the setup process becomes more complex
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors advertisement performance across different positions, user groups, and product categories. Based on this real-time feedback, the system automatically adjusts bidding parameters and premium allocations to optimize targeting precision, eliminating the need for manual configuration of multiple parameters while maintaining precise advertising delivery through data-driven automated adjustments
Data Source
AI summary
The embodiments of this application disclose a method for intelligent advertisement delivery and an electronic device. The method includes: determining a set of products designated by at least one first user that require intelligent advertisement delivery; matching product information in the determined set of products with key information associated with a product search request initiated by a second user during a process of responding to the product search request; estimating promotional performance evaluation metrics for a target product that successfully matches the key information and belongs to the set of products; performing intelligent bidding for the target product based on the estimated result, to determine, based on the intelligent bidding result, whether the target product qualifies for promotional display using a target display resource on a search result page, wherein the target display resource is designated to meet a requirement of the advertisement delivery.