Weighted Availability Status Aggregation for Communication Services
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Solution Overview
Problem
Existing communication service provider systems lack an accurate method to determine user availability status, leading to miscommunication due to incomplete or inaccurate availability information.
Innovation Solution
A system that computes an aggregate user availability status by combining multiple availability features with respective weights, including account parameters, telephony status, session activity, action patterns, and location-based features, to provide a more accurate reflection of user availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single availability status indicator is used, then the system is simple to operate, but the accuracy of availability information is insufficient
Solution Approach 1:
The availability status determination is segmented into multiple independent features (telephony status, account parameters, session activity, action patterns, location-based features). Each feature is evaluated separately and then combined through a weighted aggregation function to produce the final availability status, improving accuracy while maintaining manageable system complexity through modular design.
Solution Approach 2:
Multiple availability status features are merged into a single aggregate availability status using a weighted function. The system combines telephony status, account parameters, session activity, action patterns, and location-based features, assigning different weights to each feature based on its relevance, thereby synthesizing comprehensive availability information from diverse data sources.
2Measurement precision
If multiple availability features are combined with weights, then the availability status accuracy is improved, but the computational complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-defining the set of availability features and their corresponding weights. The weighted function is established in advance, allowing the system to quickly aggregate available feature values without performing complex real-time optimization or feature selection, thereby reducing computational overhead during status determination.
Solution Approach 2:
The system changes parameters by adjusting the weights assigned to different availability features based on their relative importance. This parameter adjustment allows the system to optimize the contribution of each feature to the final availability status without fundamentally changing the aggregation methodology, enabling flexible tuning of accuracy while controlling computational complexity.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining availability statuses for users of a communication service provider system. One of the methods includes obtaining data identifying a plurality of availability status features for a user of a communication service provider system and a respective weight for each of the availability status features; determining a respective current value of each of the availability status features; and determining an aggregate user availability status based at least in part on the current values of the availability status features and on the weights for the availability status features.