Content Preparation Module for Search Relevance Optimization
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Solution Overview
Problem
Current web search technologies, including query-independent and query-dependent processes, fail to fully utilize configurational information in complex content hierarchies, leading to inefficiencies in search result relevance and computational resource utilization, particularly in handling complex content configurations and database searches.
Innovation Solution
The implementation of a content preparation and selection module that determines topical relevance of content items within a hierarchy, using a non-associative juxtaposition operator and distributed processing to optimize search results, allowing for pre-search-time processing and parallel computation across systems, and incorporating external context-sensitive and juxtapositional influences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If configurational information is systematically applied in search processes, then search result accuracy and relevance are improved, but computational resource consumption increases
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing configurational relationships (such as content item hierarchies, proximity metrics, and influence weights) in advance of actual search queries. This allows the search system to retrieve pre-processed configurational data rather than computing it in real-time, thereby maintaining high search accuracy while reducing computational resource consumption during query execution.
Solution Approach 2:
The patent segments the search process into distinct phases: configurational analysis (performed offline/pre-search), query processing (online), and result generation. By separating the computationally intensive configurational analysis from real-time query processing, the system achieves both high accuracy through systematic configurational application and efficiency through reduced online computational burden.
2Measurement precision
If complex search expressions are evaluated over complex content hierarchies, then search result precision is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary computation of configurational relationships and content hierarchy structures before search queries are executed. Pre-search-time processing generates and stores indexed representations of content relationships, enabling rapid evaluation of complex search expressions during actual queries without re-computing hierarchical structures, thus reducing processing time while maintaining precision.
Solution Approach 2:
The patent implements dynamic processing by adapting the depth and complexity of configurational analysis based on query characteristics and available resources. The system can dynamically adjust which configurational relationships are evaluated during search, allowing efficient processing for simple queries while maintaining the option to perform more comprehensive analysis when needed for higher precision requirements.
3Measurement precision
If mutual influence sensitivity is increased in search processes, then relevance scoring accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies local quality by differentiating the treatment of different content items based on their specific characteristics and positions within the content hierarchy. Instead of uniformly analyzing all possible mutual influences, the system selectively applies influence analysis only to content items and relationships that are locally relevant to the query, thereby improving relevance scoring accuracy while reducing overall computational complexity.
Solution Approach 2:
The patent implements partial action by evaluating mutual influence sensitivity at appropriate levels without exhaustively analyzing all possible relationships. The system applies configurational influence analysis selectively to the most relevant content items and hierarchical levels, achieving improved relevance scoring for critical decisions while avoiding the computational overhead of exhaustive analysis of all content relationships.
4Productivity
If pre-search-time processing is implemented, then search efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the overall search system into distinct functional modules: pre-search-time configurational processing components, query processing components, and result generation components. This modular segmentation allows pre-search-time processing to be implemented as separate, manageable tasks that can be scheduled and executed independently, improving search efficiency while containing and managing system complexity through clear functional separation.
Data Source
AI summary
Method, storage medium and apparatus associated with content preparation and/or selection are disclosed herewith. In embodiments, an apparatus may include a content preparation or selection module to receive, as part of a content preparation or selection, a representation of a concept; and determine, for the content preparation or selection, topical relevance of a content item (N) of a content hierarchy to the concept. The content hierarchy may include a plurality of content items, including N, and determine topical relevance of N to the concept may be based at least in part on interrelationships among at least some of the other content items of the hierarchy other than N, its ancestor content items, and/or its descendant content items. Other embodiments may be disclosed and/or claimed.