Mobile Search Broker with Specialized Searchlets
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Solution Overview
Problem
Mobile search systems face challenges due to limited user interface capabilities, reduced computing power, memory, and network latency, making it difficult to provide efficient and relevant search results on mobile devices compared to PC-based search systems.
Innovation Solution
A computer system and method that utilizes multiple 'searchlets' organized into tiers, managed by a content broker, to process search queries efficiently, where each searchlet is specialized for a specific category of content, and returns relevant results quickly, handling ambiguous queries by disambiguating results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple specialized searchlets are used to improve search relevance, then search quality improves, but system complexity increases
Solution Approach 1:
The search system is divided into multiple specialized searchlets, each handling a specific category or type of search query. This segmentation allows each component to be optimized for its specific function, improving overall search relevance while maintaining manageable complexity through modular design.
Solution Approach 2:
A content broker is introduced as an intermediary component that manages the complexity of coordinating multiple searchlets. The content broker receives search queries, determines which searchlets are relevant, and aggregates their results, thereby shielding the user from system complexity while enabling sophisticated multi-searchlet operation.
2Loss of information
If comprehensive search results are provided, then information completeness improves, but processing time increases
Solution Approach 1:
Searchlets pre-process and index content within their specific categories beforehand, so that when a search query arrives, the system can quickly retrieve and combine results without performing comprehensive analysis in real-time. This preliminary indexing maintains information completeness while significantly reducing processing time.
Solution Approach 2:
By dividing the search space into multiple specialized searchlets, the system can process different portions of the search query in parallel rather than sequentially analyzing the entire information space, thereby reducing overall processing time while maintaining comprehensive coverage through result aggregation.
3Measurement precision
If mobile search provides detailed information, then answer quality improves, but device resource consumption increases
Solution Approach 1:
The content broker acts as an intermediary that performs complex query routing and result aggregation on the server side rather than requiring the mobile device to process extensive data locally. This approach delivers high-quality comprehensive answers while minimizing the computational burden and energy consumption on the mobile device.
Solution Approach 2:
The system replaces local mechanical processing on the mobile device with remote server-side processing. Complex search operations are performed on powerful servers, and only the final results are transmitted to the mobile device, thereby maintaining answer quality while dramatically reducing device resource consumption.
Data Source
AI summary
A computer system and method for processing a search query directed to a database first inquires of multiple searchlet applications as to whether each respective searchlet is capable of performing the search query and then, if an affirmative response is received, passes the search query to the affirmatively responding searchlets, such that each searchlet returns a response comprising a single page, or no page at all if the search fails. Communication of the search query to the searchlets is managed by a content broker process. Each searchlet includes methods for searching a particular category of content, generating an index of the content, performing a search on the index, and returning search results.