Content Performance Score Calculation via Weighted Impression Metrics
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Solution Overview
Problem
Current systems lack an effective method to generate aggregated performance scores for content groups and campaigns, which are essential for evaluating the performance of content providers in networked environments, such as the Internet, where various quality metrics and impression counts need to be considered.
Innovation Solution
A method and system that calculate a weighted average performance score for content groups and campaigns by summing the product of quality metrics and impression counts for each keyword and dividing by the total impression count, allowing for real-time updates and historical performance analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If aggregated performance scores are calculated using weighted average of quality metrics and impression counts, then measurement precision of content performance evaluation is improved, but device complexity increases due to data structure requirements
Solution Approach 1:
The patent segments the performance evaluation system into distinct modular components: a data structure module that stores keywords, quality metrics, and impression counts separately; a calculation module that computes weighted averages; and an evaluation module that generates performance scores. This segmentation allows each component to be optimized independently, improving measurement precision without proportionally increasing overall system complexity.
Solution Approach 2:
The patent implements preliminary action by pre-organizing data into a structured format with keywords, quality metrics, and impression counts stored in ready-to-use data structures before evaluation is needed. This pre-structuring of data enables efficient retrieval and calculation during performance evaluation, reducing the computational complexity during the actual scoring process while maintaining high measurement precision.
2Productivity
If real-time updates of quality metrics and impression counts are implemented, then productivity of performance evaluation is improved, but use of energy increases due to continuous data processing
Solution Approach 1:
The patent implements periodic action by updating quality metrics and impression counts at scheduled intervals rather than continuously in real-time. The system periodically recalculates performance scores based on accumulated data, which maintains productivity by providing timely evaluations while significantly reducing energy consumption compared to continuous real-time processing. This periodic approach allows batch processing optimizations and reduces the frequency of computationally intensive operations.
Data Source
AI summary
Systems and methods of the present disclosure are directed generally to evaluating performance of a content group of a content provider. In some implementations, a system receives a request to display a performance score and accesses a data structure storing keywords, a quality metric for each keyword, and an impression count for each keyword. The quality metric can include a quality score or a first page bid of a keyword. The system can identify keywords of the data structure corresponding to the content group of the content provider. The system can obtain the quality metric and the number of impressions via the data structure for each keyword. The system can determine, for the content group, a performance score using an impression-based weighted average of the quality metric and impression count of each of the keywords.