Content Slot Reservation System Using Conversion Rate Prediction
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Solution Overview
Problem
Current methods for predicting conversion rates of content publisher-third-party content provider pairs and reserving content slots are inefficient, lacking in accuracy and automation, which hampers the effective placement of third-party content on information resources.
Innovation Solution
A computer-implemented method and system that identifies content publisher-provider pairs from log data, determines conversion rates, and transforms feature data into a predictive model to forecast conversion rates, while also providing an interface for reserving content slots based on traffic metrics and reservation policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used for predicting conversion rates and reserving content slots, then flexibility and control are maintained, but accuracy and efficiency deteriorate
Solution Approach 1:
The patent introduces a data processing system as an intermediary between content publishers and third-party content providers. This system automatically collects log data, processes it through conversion rate prediction models, and generates reservation recommendations, thereby improving prediction accuracy without requiring direct complex interactions between publishers and providers
Solution Approach 2:
The system enables self-service by automatically predicting conversion rates and generating content slot reservation recommendations without manual intervention. The data processing system autonomously analyzes log data, applies prediction models, and provides actionable insights to both publishers and content providers, improving efficiency while maintaining simplicity
2Productivity
If automated systems are implemented for content slot reservation, then efficiency and productivity improve, but system complexity increases
Solution Approach 1:
The patent segments the content slot reservation process into distinct functional modules: log data collection, conversion rate prediction model, candidate identification, and reservation execution. This modular segmentation improves automation efficiency while managing complexity by allowing each module to be independently developed and maintained
Solution Approach 2:
The data processing system performs multiple functions including data collection, analysis, prediction, and recommendation generation within a single unified platform. This multi-functionality improves overall productivity by eliminating the need for separate manual processes while managing complexity through integrated design
3Measurement precision
If comprehensive log data analysis is performed for all content publisher-provider pairs, then prediction accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing log data in the background, maintaining ready-to-use datasets for analysis. This preliminary data preparation enables faster real-time prediction when queries are made, improving accuracy without adding significant processing time to the actual prediction moment
Solution Approach 2:
The patent implements partial action by focusing analysis on candidate content publishers and providers identified through initial filtering, rather than analyzing all possible pairs comprehensively. This selective approach maintains prediction accuracy for relevant cases while significantly reducing overall processing time and computational resources
Data Source
AI summary
Systems and methods for providing an actionable object within a third-party content slot of an information resource of a content publisher. A processor receives an indication of interest in providing, for display, a creative within at least one third-party content slot of an information resource of a content publisher. The information resource includes third-party content slots available to be reserved to serve creatives. The processor identifies, on the information resource, at least one third-party content slot available to be reserved to serve one or more creatives. The processor inserts an actionable object within the identified third-party content slot, the actionable object configured to generate a request to provide an interface for reserving the identified third-party content slot to display the creative responsive to an action being taken on the actionable object. The processor renders the information resource including the inserted actionable object within the identified third-party content slot.