Network Communication Mode Recommendation System
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Solution Overview
Problem
In organizations, initiating end users often face challenges in determining the best mode of communication to reach targeted end users due to busy schedules and lack of intimate knowledge about their availability, leading to intrusive or unsuccessful attempts.
Innovation Solution
A network-based system that monitors end user activities, determines parameters such as current activity and location, and recommends optimal communication modes to minimize intrusion and maximize reachability, considering preferences and organizational roles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the initiator contacts the target using a direct communication mode (e.g., instant message, phone call), then the reachability probability increases, but the intrusiveness increases and may disrupt the target's work
Solution Approach 1:
The system performs preliminary analysis of the target's current state (calendar events, recent activity patterns, device status) before the communication attempt. This allows the system to predict the target's availability and select an optimal communication mode in advance, avoiding intrusive contacts during critical work periods while maintaining high reachability probability.
Solution Approach 2:
The communication mode recommendation is dynamically adjusted based on real-time or near-real-time data about the target's state. The system continuously monitors calendar updates, activity patterns, and device status changes, adapting the recommended communication mode to the current situation rather than using static preferences alone.
2Object-affected harmful factors
If the initiator waits for the target to be available, then the intrusiveness decreases, but the communication time increases
Solution Approach 1:
The system proactively determines the optimal communication time and mode before the initiator actually attempts contact. By analyzing the target's schedule and activity patterns in advance, the system provides a recommendation that minimizes waiting time while avoiding intrusive periods, thus resolving the trade-off between patience and timeliness.
Solution Approach 2:
The system autonomously monitors the target's availability status and communicates this information to the initiator without requiring the initiator to manually check or wait. The automated availability detection and recommendation system eliminates the need for the initiator to balance waiting versus intrusiveness manually.
3Measurement precision
If the system monitors detailed network activities to improve recommendation accuracy, then the recommendation precision increases, but the system complexity increases
Solution Approach 1:
The system extracts only the most relevant features from the monitored network activities (e.g., calendar event status, recent communication patterns, device online/offline status) rather than analyzing all possible data points. This selective feature extraction maintains high recommendation accuracy while significantly reducing the complexity of data processing and analysis.
Solution Approach 2:
The system applies different levels of monitoring intensity to different aspects of user activity. For example, calendar data is monitored in detail for meeting detection, while other less critical activities are monitored at a coarser granularity. This differentiated monitoring approach optimizes accuracy for the most important factors while reducing overall system complexity.
Data Source
AI summary
The present disclosure generally provides techniques and apparatuses for producing, for an initiating end user, a recommended mode of communication corresponding to a targeted end user in a network environment, based on a plurality of network accessible or determinable inputs. For example, the identity of an initiating end user, the identity of a targeted end user, the current activity of the targeted end user, the communication preferences of the targeted end user, information from available databases, and other available or determinable data may be used by a contact liaison to produce a recommended mode of communication.