Information Handling System Query Strategy Inference
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Solution Overview
Problem
Information handling systems face challenges in providing relevant search results efficiently, as they struggle to accurately interpret user context and search queries to tailor responses effectively.
Innovation Solution
An information handling system that includes a processing device capable of generating probabilistic strategies based on user context and search queries, using signal and strategy emitter modules to analyze user behavior and interaction data, thereby adjusting search results in real-time to match user intent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional search systems process queries using basic keyword matching, then the system complexity remains low, but the relevance and accuracy of search results deteriorate
Solution Approach 1:
The system segments the search query processing into multiple independent components: a probabilistic strategy generator that analyzes user context and query semantics, and a result modifier that applies strategies to search results. This segmentation allows each component to focus on specific aspects of relevance improvement without overwhelming complexity in a single monolithic system.
Solution Approach 2:
The system performs preliminary analysis of user context, search history, and query semantics before generating search results. The probabilistic strategy generator processes this information in advance to determine the most likely user intent, which then guides the modification of search results. This preliminary action enables more accurate relevance matching without requiring complex real-time processing during result generation.
2Measurement precision
If the system analyzes user context and generates multiple probabilistic strategies, then the accuracy of search results improves, but the processing time increases
Solution Approach 1:
The system generates multiple probabilistic strategies (excessive action) based on user context and query analysis, but then selectively applies only the most relevant strategies to search results. This partial application approach ensures high accuracy by considering multiple possible user intents while avoiding the time cost of processing all possible strategies in full detail.
Solution Approach 2:
The system changes the parameters of search result generation dynamically based on the generated probabilistic strategies. Instead of using fixed retrieval parameters, the system adjusts result ordering, filtering criteria, and presentation based on the inferred user intent and strategy probabilities, enabling accurate results without uniformly high processing costs.
3Adaptability or versatility
If the system uses probabilistic strategies to alter search results, then the adaptability to user intent improves, but the device complexity increases
Solution Approach 1:
The probabilistic strategy generator serves multiple functions: it analyzes user context, determines query intent, generates multiple possible strategies, and selects the most appropriate one. This multi-functionality consolidates what would otherwise require separate complex systems into a single adaptable module, improving versatility while managing complexity.
Solution Approach 2:
The system dynamically adjusts its behavior based on the generated probabilistic strategies rather than using static, pre-programmed response rules. The result modification process adapts in real-time based on the inferred user intent and strategy probabilities, enabling high adaptability to diverse user needs without requiring complex predetermined logic for every possible scenario.
Data Source
AI summary
An information handling system includes a memory to results for different search queries. The processing device communicates with the memory. The processing device generates signals for the first search query based on the first search terms, the user context, and behavioral data and interactional data from previous search queries, generates an overall result strategy for the search query based on the signals, determines a first set of results for the search query in response to a first probability that the first search query is directed to a first result strategy in the overall result strategy. The first set of results is a subset of a second set of results available for the first search query. The processing device also generates final results based on the first set of results, and to provide the final results as a response to the first search query.