Communication Profile Generation for Personalized Message Initiation
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Solution Overview
Problem
Autofill and autocomplete systems in electronic communication fail to suggest how to initiate communications, are not customized to users, and do not account for the recipient's likely response, leading to ineffective message initiation.
Innovation Solution
A system that generates user communication profiles based on electronic transcripts, identifying topical expertise, language fluency, avoided topics, and preferred topics, and provides communication initiation recommendations by matching users with suggested text tailored to the recipient's profile, ensuring effective communication initiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If basic autocomplete suggestions are provided based on previous communications, then users receive automated reply suggestions, but the suggestions are not customized to individual users and fail to capture user's voice
Solution Approach 1:
The system performs preliminary actions by analyzing users' communication histories in advance to build personalized communication profiles before actual communication needs arise. These profiles capture user's language patterns, topics of interest, and communication style, enabling customized suggestions without adding complexity during real-time interaction
Solution Approach 2:
The system creates simplified copies of users' communication profiles that encapsulate their unique communication characteristics. Instead of processing complex raw communication data during interaction, the system uses these condensed profile copies to generate personalized autocomplete suggestions efficiently
2Reliability
If autocomplete suggestions are generated from previous communications, then users receive automated text suggestions, but the suggestions fail to account for how the recipient is likely to respond
Solution Approach 1:
The system incorporates feedback mechanisms by analyzing recipient response patterns from historical communications. It learns how specific recipients typically respond to different types of messages and uses this feedback to adjust autocomplete suggestions, making them more likely to elicit positive responses while managing analysis complexity through pattern recognition
3Adaptability or versatility
If communication profiles are generated based on electronic transcripts analyzing topical expertise and language fluency, then personalized communication suggestions are provided, but the system requires extensive data processing and analysis
Solution Approach 1:
The system performs preliminary data processing by generating and storing communication profiles in advance, analyzing users' topical expertise, language fluency, and communication preferences before they are needed. This upfront analysis reduces real-time processing requirements and minimizes time loss during actual communication tasks
Solution Approach 2:
The communication profiles are designed to be dynamic and adaptive, allowing the system to efficiently retrieve and apply relevant user characteristics without reprocessing entire communication histories. The profiles can be updated incrementally as new communication data becomes available, reducing overall processing time
Data Source
AI summary
Systems, methods, and computer-readable storage media for providing communication recommendations to users. The system receives electronic transcripts associated with a first user and generates, based on the transcripts, a communication profile of the user. The system also receives additional user transcripts associated with a plurality of additional users and generates additional communication profiles for those additional users based on the additional transcripts. The system receives a request to communicate with at least one user within the plurality of additional users regarding a specified topic, identifies a second user from within the plurality of additional users, and generates a communication initiation recommendation for the first user to communicate with the second user. The system then transmits the communication initiation recommendation to a first user computing device associated with the first user.