Contact List Organization by Response Delay Time
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Solution Overview
Problem
Electronic communication networks face inefficiencies in managing user contacts due to unorganized databases, leading to high computational resource and bandwidth consumption when searching for responsive contacts, as existing systems lack effective methods to prioritize or organize contacts based on response metrics.
Innovation Solution
A system that utilizes processors to organize user contacts on an electronic communication network by monitoring response delay times, response frequencies, and associated values, allowing users to customize criteria for organizing their contact lists, thereby conserving resources and improving search efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If contacts are organized based on response metrics, then search efficiency is improved and resource consumption is reduced, but system complexity increases due to monitoring and evaluation mechanisms
Solution Approach 1:
The system pre-calculates and stores response metrics (response delay time, response frequency, associated values) for each contact before searches are performed. This preliminary organization allows rapid retrieval during search operations without real-time computation, improving efficiency while managing complexity through advance preparation.
Solution Approach 2:
Contacts automatically generate and update their own response metrics through their natural interactions with user content. The system monitors these self-generated metrics without requiring external intervention, reducing the burden of manual data collection while building the organizational structure for efficient searching.
2Measurement precision
If response metrics are monitored for all contacts, then contact responsiveness is accurately evaluated, but computational resource consumption increases
Solution Approach 1:
The system applies different monitoring intensities to different contacts based on their relevance and user needs. High-priority contacts receive comprehensive metric tracking, while less important contacts receive minimal monitoring. This localized approach maintains evaluation accuracy for critical contacts while reducing overall computational resource consumption across the entire contact database.
3Ease of operation
If contact lists are organized by response metrics, then most responsive contacts are easily identified, but data processing time increases
Solution Approach 1:
The system pre-sorts and ranks contacts based on their response metrics (response delay time, response frequency, associated values) before user queries are submitted. This preliminary organization stores contacts in an optimized sequence, allowing immediate retrieval of most responsive contacts without performing complex sorting operations at query time, thus reducing data processing time while maintaining ease of operation.
Data Source
AI summary
A system for evaluating network users comprises one or more processors communicatively coupled to one or more memories operable to receive, over a network comprising a plurality of network users, electronic first user content generated by a first user, provide the first user content over the network to a second user, receive, over the network, a second user response to the first user content generated by the second user, determine a second user response delay time for the second user response, wherein the second user response delay time is associated with the amount of time between when the first user content was provided over the network and when the second user response was received, and generate a first list of network users that have responded to first user content, wherein the first list is organized based at least in part on the second user response delay time.