Digital Content Discovery with Logistic-Pairwise Quality Ranking
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Solution Overview
Problem
Modern content search systems struggle to provide visually appealing and engaging results, especially on mobile devices, lacking the functionality to quantify relevance and quality in search results.
Innovation Solution
A unified framework combining a logistic loss function and a pair-wise loss function to improve the ranking model for information retrieval, ensuring high-quality and relevant content is included in search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional search systems are used, then search functionality is provided, but the quality and visual appeal of search results is insufficient
Solution Approach 1:
The patent combines multiple loss functions (logistic loss and pair-wise loss) into a unified ranking framework that simultaneously optimizes for both relevance and quality metrics, resolving the contradiction by integrating multiple objectives into a single system rather than adding separate systems
Solution Approach 2:
The patent introduces new parameters including visual appeal scores, quality metrics, and engagement predictions that are integrated into the search ranking process, allowing the system to optimize for both traditional relevance and new quality dimensions without fundamental system redesign
2Measurement precision
If search results include only relevant content, then accuracy is improved, but user engagement and visual appeal decrease
Solution Approach 1:
The patent applies different quality criteria to different aspects of search results: relevance criteria for content accuracy and visual appeal criteria for presentation quality, allowing each dimension to be optimized independently while contributing to overall result quality
Solution Approach 2:
The patent creates a composite ranking score that combines multiple factors including relevance, visual appeal, quality metrics, and engagement predictions, similar to how composite materials combine different properties to achieve superior overall performance
3Manufacturing precision
If traditional ranking models are used, then processing speed is maintained, but the ability to quantify and optimize quality is insufficient
Solution Approach 1:
The patent pre-computes quality metrics, visual appeal scores, and engagement predictions for content before they are needed for ranking, allowing the actual search ranking process to use these pre-prepared scores without significant computational overhead
Data Source
AI summary
Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results. The combination of such functions provides a search information retrieval system with the novel functionality of quantifying a search results' relevance and quality in accordance with the searcher's intent.