Query Comprehension Scoring for Partial Relevancy Matching
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Solution Overview
Problem
Conventional query response mechanisms often fail to adequately comprehend user queries, leading to unsatisfactory responses, especially when queries contain words not present in stored responses or when multiple questions are posed simultaneously, resulting in frustrating user experiences and potential abandonment of interactions.
Innovation Solution
A computer-implemented method and apparatus that compares user query terms with content records in a database for partial relevancy matches, generates scores based on comprehension, and determines a confidence state to provide improved responses, including natural language query processing and conversion to textual form for enhanced matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If word matching is used to match user queries to stored responses, then the matching process is simple and fast, but the comprehension accuracy deteriorates when queries contain words not present in stored responses
Solution Approach 1:
The patent introduces an intermediary comprehension scoring mechanism that mediates between the user query and stored responses. This intermediary layer evaluates the semantic relationship and contextual relevance, allowing the system to handle words not present in stored responses by inferring meaning through contextual analysis rather than direct word matching.
Solution Approach 2:
The patent changes the matching parameter from binary word presence/absence to a continuous comprehension score. Instead of requiring exact word matches, the system uses semantic similarity metrics and contextual relevance parameters to score the degree of comprehension, enabling flexible matching even when query terms differ from stored response terms.
2Measurement precision
If word matching is used to select query responses, then the response selection process is simple, but the response accuracy deteriorates when a single user input contains multiple questions
Solution Approach 1:
The patent segments the query processing into distinct components: query term extraction, individual question analysis, and separate scoring for each potential response. This segmentation allows the system to handle multiple questions within a single user input by processing and scoring them independently, then combining the results to select the most accurate response.
Solution Approach 2:
The patent implements feedback through the comprehension scoring mechanism that continuously evaluates the relationship between query terms and stored responses. The system uses the scoring results to refine its understanding of the query and adjust its response selection, ensuring accurate handling of complex queries with multiple questions through iterative evaluation.
Data Source
AI summary
A computer-implemented method and apparatus for facilitating comprehension of user queries during interactions include receiving a query input provided by the user. The one or more query terms in the query input are compared with a plurality of content records stored in a database for at least a partial match in relevancy and each content record is associated with a respective comparison result. A score is generated for each content record based on the respective comparison result and a measure of comprehension between the query input and the plurality of content records. The generation of score for each content record configures a set of scores. A confidence state is determined corresponding to the set of scores and a reply is provided to the user in response to the query input based on the confidence state.