Outcome-Based Template Provision System
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Solution Overview
Problem
The proliferation of personal data on social networking sites makes it difficult to exploit and utilize for developing templates that can help users achieve specific target outcomes, as finding relevant templates among a vast number of templates becomes a cumbersome task.
Innovation Solution
A computationally implemented method and system that receives requests for target outcomes and selectively provides templates based on their association with those outcomes, developed from reported aspects of source users, allowing end users to achieve desired goals by emulating emulatable aspects within the templates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If templates are developed from reported aspects of source users on social networking sites, then personalized templates can be created to help end users achieve target outcomes, but the vast number of templates makes it difficult to find and exploit relevant templates
Solution Approach 1:
The patent segments the vast template repository by organizing templates according to specific target outcomes (e.g., weight loss, muscle gain, endurance improvement). This segmentation allows the system to divide the overwhelming number of templates into manageable, outcome-specific categories, making it easier for end users to find relevant templates without being overwhelmed by the total volume.
Solution Approach 2:
The patent introduces an intermediary mechanism (the system's selective provision process) that mediates between the end user's request and the template repository. This intermediary filters and selects templates based on the end user's specific target outcome, eliminating the need for users to manually search through all templates and reducing the complexity of template selection.
2Quantity of substance
If all personal data from source users is utilized to create templates, then comprehensive template coverage is achieved, but the difficulty of exploiting and utilizing this data increases
Solution Approach 1:
The patent extracts only the necessary and relevant template data based on the end user's specific target outcome request. Instead of requiring users to process or navigate all available personal data from source users, the system extracts and provides only the subset of templates relevant to the stated goal, significantly reducing the operational burden while maintaining comprehensive coverage where needed.
Solution Approach 2:
The patent changes the parameter of data presentation by organizing templates according to target outcome parameters rather than presenting all data uniformly. This parameter change transforms the data structure from an undifferentiated mass into a targeted, outcome-oriented collection, making exploitation easier while preserving the comprehensive nature of the underlying data.
Data Source
AI summary
A computationally implemented method includes, but is not limited to: receiving one or more requests indicating at least one or more target outcomes of one or more particular templates, the one or more particular templates designed to facilitate one or more end users to achieve the one or more target outcomes when one or more emulatable aspects included in the one or more particular templates are emulated; and providing from a plurality of templates the one or more particular templates, the providing being based at least on the one or more particular templates' association with the one or more target outcomes, the one or more particular templates developed based on one or more reported aspects of one or more source users In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.