Personalized Template Provision System for Social Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge lies in effectively utilizing personal data from social networking sites to provide personalized templates that help end users achieve specific target outcomes, as the vast amount of data scattered across multiple networks makes it difficult to selectively find and provide relevant templates associated with source users and their reported aspects.
Innovation Solution
A computationally implemented method and system that receive requests for templates associated with source users, providing specific templates based on the association with those users, developed from reported aspects such as log data from social networking channels, to facilitate end users in achieving target outcomes by emulating emulatable aspects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personal data from multiple social networking sites is collected to create personalized templates, then the personalization capability and effectiveness of templates is improved, but the complexity of data management and template selection increases
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between multiple social networking sites and the template provision system. This intermediary collects, standardizes, and manages personal data from various sources, converting diverse data formats into a unified structure that can be efficiently processed for template personalization without overwhelming the system complexity
Solution Approach 2:
The patent segments the vast personal data into specific categories and aspects (e.g., athletic performance, health metrics, academic achievements) that are relevant to template creation. By dividing the data management task into focused segments based on reported aspects, the system can efficiently retrieve and apply only the necessary data portions for each template personalization task
2Adaptability or versatility
If a vast pool of templates is maintained to cover different source users and outcomes, then the versatility and coverage of available templates is improved, but the difficulty of selectively finding relevant templates increases
Solution Approach 1:
The patent implements feedback mechanisms where the system learns from the effectiveness of provided templates and adjusts future template selections. By analyzing whether end users successfully achieve target outcomes using recommended templates, the system refines its ability to detect and select the most relevant templates from the vast pool, improving retrieval accuracy over time
Solution Approach 2:
The patent replaces manual or simple keyword-based template search mechanisms with sophisticated computational algorithms that automatically detect relevant templates based on analyzed reported aspects. The system uses automated processing to match end user needs with appropriate source user templates, substituting complex manual search processes with efficient computational detection
3Measurement precision
If comprehensive personal data is analyzed to identify reported aspects, then the accuracy of template matching is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent extracts only the specific reported aspects and key personal data elements that are directly relevant to template matching, rather than processing entire datasets. By taking out and focusing on the essential information portions (such as specific athletic achievements, health metrics, or academic accomplishments), the system achieves high matching accuracy while minimizing processing time and computational resource consumption
Data Source
AI summary
A computationally implemented method includes, but is not limited to: receiving one or more requests for one or more particular templates that are associated with one or more source users, the one or more particular templates designed to facilitate one or more end users to achieve 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 association of the one or more particular templates with the one or more source users, the one or more particular templates developed based on one or more reported aspects associated with the 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.