Associative Memory Contextual Result Filtering
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Solution Overview
Problem
Associative memories often return results that are out of context with the user's original intent, as they match attribute values but lack clear relationships, leading to confusion and difficulty in identifying relevant information.
Innovation Solution
The system and method enhance associative memories by allowing queries based on indirect relationships, adding relevant results as search terms to refine queries, and combining entity values with source data to provide contextual results, ensuring that only in-context information is returned to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If associative memory matches attribute values of similar entities to formulate query results, then the quantity of results increases, but the relevance and context accuracy of results deteriorates
Solution Approach 1:
The system performs a second query using results from the first query as additional search terms. This feedback mechanism refines the search by incorporating actual matched entities back into the query, ensuring that subsequent results are more contextually relevant while maintaining a comprehensive result set.
Solution Approach 2:
The query process is divided into two distinct phases: a first query that broadly matches attribute values to generate initial results, and a second query that uses those results as search terms to refine the search. This segmentation allows the system to first cast a wide net for quantity, then narrow down for precision.
2Loss of information
If associative memory returns all matched results, then completeness of information is improved, but the difficulty of identifying relevant information increases
Solution Approach 1:
The system performs a preliminary first query to identify all potential matched entities before the final result presentation. These entities are then used as search terms in a second query to pre-filter and organize results, making relevant information more easily identifiable while preserving completeness.
Solution Approach 2:
The first query results serve as an intermediary between the original query and the final results. By using these intermediate entities as search terms, the system creates a bridge that filters and organizes information, reducing the difficulty of identifying relevant results while maintaining completeness.
3Adaptability or versatility
If associative memory performs broad attribute matching, then the versatility of search is improved, but the precision of contextual relevance deteriorates
Solution Approach 1:
The search process is made dynamic through two sequential queries. The first query employs broad attribute matching for versatility, while the second query dynamically adapts by using first query results as search terms, thereby adjusting the precision of contextual relevance based on initial findings.
Solution Approach 2:
The first query acts as a preliminary action that establishes a foundation of matched entities. This preliminary broad matching enables versatility, while the subsequent use of these entities as search terms in the second query refines contextual precision.
Data Source
AI summary
A system including an associative memory and an input device configured to receive a first query or comparison request. The associative memory is configured to: responsive to receiving the first query or comparison request, locate an entity value having an attribute value matching a term of the first query or comparison request; responsive to locating the entity value, return a first list of results including the entity value; add, as a required search term, at least one of first results from the first list to a second query or comparison request, the second query or comparison request further including all terms of the first query or comparison request; perform the second query or comparison request and, as a result, return a second list of resource references; use the second list to retrieve source data; combine the entity value with the source data to form a combination; and return the combination.