Tag-Based Recipient Selection for Information Distribution
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Solution Overview
Problem
Existing systems for distributing electronic messages or files are inefficient as they require manual selection of recipients based on their interests or expertise, which is time-consuming and may miss relevant individuals.
Innovation Solution
A system and method utilizing data tags to automatically identify and target recipients based on their interests, where electronic messages or files are marked with tags, and a recipient selection tool matches users with tags that satisfy a specified sharing condition, allowing for precise and efficient distribution or access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of recipients is used, then the sender can control who receives the message, but the process becomes time-consuming and may miss relevant recipients
Solution Approach 1:
The system performs preliminary actions by pre-tagging users with interest areas and expertise topics before the message distribution process. When a sender wants to distribute a message, the system automatically matches the message tags with pre-stored user tags, eliminating the need for manual recipient selection at the moment of distribution. This resolves the contradiction by preparing recipient information in advance, achieving both accuracy and time efficiency.
Solution Approach 2:
Users self-serve by maintaining their own tag profiles that represent their interests and expertise. The system automatically uses these self-maintained tags to identify relevant recipients, eliminating the need for senders to manually search for or select recipients. This self-service approach to profile maintenance enables automatic, accurate, and time-efficient recipient identification.
2Productivity
If mass mailed electronic mail messages are sent, then the sender can reach many people, but recipients may be irritated if they have no interest in the message topic
Solution Approach 1:
The system applies local quality by matching messages to specific subsets of recipients based on their individual tag profiles. Instead of uniformly distributing messages to all users, the system identifies and delivers messages only to those whose tags match the message content. This localized, targeted approach maintains high distribution efficiency while eliminating unwanted messages that would irritate unrelated recipients.
Solution Approach 2:
The system changes the parameter of message distribution from broad, uniform distribution to targeted, condition-based distribution. By introducing tag-matching conditions as a filtering parameter, the system transforms the distribution process to automatically exclude recipients whose tags do not match the message, thereby maintaining productivity while eliminating harmful effects of unwanted messages.
3Reliability
If the sender manually selects recipients based on interests or expertise, then relevant messages can be targeted, but the sender may miss relevant recipients if they are not familiar with the organization's interests and expertise
Solution Approach 1:
The system introduces tags as an intermediary element that mediates between the sender and the organization's members. Instead of requiring the sender to directly know each recipient's interests and expertise, the sender simply tags the message with relevant keywords, and the system's intermediary tagging mechanism automatically matches these with user profiles. This intermediary layer ensures reliable message delivery to all relevant recipients without requiring the sender to have complex knowledge of the organization's structure.
Solution Approach 2:
The system replaces the mechanical process of manual recipient selection with an automated information processing system. Instead of the sender manually searching through organizational knowledge to identify recipients, the system uses automated tag-matching algorithms to identify relevant recipients. This substitution reduces the complexity burden on the sender while maintaining or improving message delivery reliability.
Data Source
AI summary
A method and system of automatically identifying a set of relevant and qualified recipients to share electronic data is disclosed. The system includes an electronic network configured to store and transmit the electronic data files. The electronic data files include one or more data tags defining a sharing condition that targets potential recipients of the data files or permits access to the data files. A people-tagging system provides an electronic platform including keyword lists (tags) defined by recipient users collaboratively. A matching tool includes software matching recipient users to the data files when the recipient users are associated with keyword lists that satisfy the sharing condition. The method includes tagging a data file by one or more keywords and using a people-tagging system where the recipient users define a list of tags on topics of interest. Recipient users are matched to data files when user lists of tags satisfying the sharing condition.