Subjective Query Routing via Social Network Availability Analysis
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Solution Overview
Problem
Users face challenges in obtaining timely and relevant answers to subjective queries, as existing systems often rely on search engines that provide generic information and may inconvenience or unqualify individuals who could offer more personalized insights, especially when those individuals are unavailable or not aware of the query.
Innovation Solution
A system and method that identifies qualified and available individuals from a user's social circle by analyzing social media posts and geographical location information, allowing for efficient and unobtrusive querying without interrupting busy or unqualified individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If search engines are used to answer user queries, then generic information can be provided, but personalized and subjective answers cannot be obtained
Solution Approach 1:
The patent introduces an intermediary system that bridges users and qualified responders. This intermediary analyzes queries, identifies suitable respondents from social networks based on expertise and availability, and facilitates the interaction. This resolves the contradiction by enabling personalized information exchange without requiring users to directly manage complex social network queries themselves.
Solution Approach 2:
The system enables self-service by automatically identifying qualified responders and managing the query routing process. Users simply submit their queries, and the system autonomously finds appropriate respondents based on analyzed criteria such as expertise, availability, and relevance to the query topic, eliminating the need for manual responder selection.
2Reliability
If users directly contact people in their social circle for answers, then personalized opinions can be obtained, but it may inconvenience unavailable or busy individuals
Solution Approach 1:
The system performs preliminary actions by analyzing responder availability status before routing queries. It checks calendars, current activity states, and historical response patterns to identify responders who are currently available and likely to respond. This preliminary filtering ensures that queries are only sent to responders who can actually answer, preventing inconvenience to unavailable individuals while maintaining answer quality.
3Adaptability or versatility
If a broad audience is queried for subjective opinions, then more perspectives can be obtained, but response time increases and many unqualified individuals are contacted
Solution Approach 1:
The system applies local quality by tailoring the query routing to match specific query requirements with responder expertise. Rather than broadcasting to a broad audience, it analyzes the query's subject matter and routes it only to responders with relevant local expertise and availability. This targeted approach maintains perspective diversity where needed while dramatically reducing response time by excluding unqualified individuals from the outset.
4Reliability
If multiple people are contacted for the same query, then answer reliability improves, but the complexity of managing multiple responses increases
Solution Approach 1:
The system implements feedback mechanisms to manage multiple responses efficiently. It collects responses from multiple qualified responders, analyzes them for consistency and quality, and provides feedback to both users and responders. This structured feedback loop maintains answer reliability through verification while reducing management complexity by automating the analysis and coordination of multiple responses.
Data Source
AI summary
Methods and systems for processing subjective queries are described. A query is received from a user. The method involves determining whether the query is subjective. In response to determining that the query is subjective, a plurality of people qualified to answer the query are identified. Moreover, a subset of the plurality of people who are available to answer the query are identified, and the query is transmitted to the subset of people available to answer the query. The received responses to the transmitted query from each of the people in the subset are then generated for display.