Universal Relevance Service Framework for Batch and Real-Time Ranking
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Solution Overview
Problem
Current relevance systems face inefficiencies due to separate code bases for batch and real-time processing, leading to high development and operational costs, and are unable to scale effectively with business growth, while also failing to support dynamic offerings with changing attributes in real-time.
Innovation Solution
A universal relevance service framework is implemented, providing a plug-in architecture that supports both real-time and batch processing, enabling seamless integration of evolving code, and allowing for horizontal scaling, with features like continuous background computation and decoupling of signal processing from servicing relevance computation requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate code bases are used for batch and real-time processing, then each system can be optimized for its specific use case, but development and operational costs increase due to duplicate efforts and system diversification
Solution Approach 1:
The patent implements a universal relevance service framework that serves both batch and real-time processing needs through a single code base. The framework includes configurable processing modes, unified data structures, and common algorithms that can operate in different time contexts, eliminating the need for separate code bases while maintaining optimization for both use cases.
Solution Approach 2:
The system employs dynamic configuration that allows the same code base to adapt its behavior based on the processing mode (batch or real-time). Parameters such as processing depth, timeout thresholds, and resource allocation can be dynamically adjusted without code changes, enabling a single system to optimize for different operational contexts.
2Adaptability or versatility
If incremental improvements are made to separate code bases in response to short business focus, then specific business needs are met, but development and operational costs become high
Solution Approach 1:
The framework pre-implements a comprehensive set of configurable parameters, data structures, and processing algorithms that can accommodate various business needs. Rather than making incremental adaptations to separate code bases, the system is designed in advance to handle diverse requirements through configuration rather than code changes, improving development efficiency while maintaining adaptability.
Solution Approach 2:
A single unified code base provides multiple processing modes and configurable parameters that can address different business focuses without requiring separate development efforts. The system can be configured for search, recommendation, ranking, or other relevance tasks within the same code framework, reducing development costs while maintaining versatility.
3Stability of the object's composition
If traditional relevance systems are used, then current operations are maintained, but the systems cannot scale effectively with business growth
Solution Approach 1:
The system employs dynamic resource allocation and configurable processing parameters that allow it to scale with business growth. Processing depth, timeout thresholds, and resource utilization can be dynamically adjusted based on load conditions and business requirements, enabling the system to maintain stability while adapting to increased scale without architectural changes.
4Reliability
If traditional relevance systems are used, then current operations are maintained, but latency is high and performance is suboptimal
Solution Approach 1:
The system performs preliminary computations and maintains pre-computed relevance scores in the background for batch functions. This allows real-time queries to leverage pre-prepared data structures and cached results, significantly reducing latency while maintaining reliable and accurate relevance ranking. The framework prepares data structures in advance that optimize both computational efficiency and result accuracy.
Data Source
AI summary
In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.