Data Prioritization via Relationship Analysis Mapping
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Solution Overview
Problem
The sports industry faces challenges in measuring the value of investments due to the difficulty in processing and interpreting the vast and constantly changing interactions on online social platforms, where new information sources proliferate, and existing systems lack effective methods to read, interpret, and utilize this information for meaningful contextual insights.
Innovation Solution
A method and system for processing data relationships on electronic media sites by receiving and analyzing data strings to identify content identifiers, correlating them with a database, determining relationship values based on content, context, frequency, recency, and volume, and assigning relationship designations to prioritize data submissions, utilizing analytical processing functions like key word identification, image feature detection, and sound fingerprinting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional methods are used to measure investment value based on attendance revenue and viewership, then the measurement process is simple, but the ability to capture and interpret new information from social media and virtual networking platforms is insufficient
Solution Approach 1:
The patent segments the complex data processing task into distinct analytical processing functions including key word identification, proximity word identification, image feature detection, language modeling, and sound fingerprinting. Each function handles a specific aspect of data analysis, making the overall complex system manageable and effective
Solution Approach 2:
The system employs multi-functional analytical processing capabilities that can handle various types of data sources and formats (text, images, audio, video) through a unified platform. This universal approach allows the system to process diverse information from multiple platforms simultaneously
2Loss of information
If all interactions on social platforms are collected and analyzed, then comprehensive contextual information is obtained, but the processing time and computational resources required increase significantly
Solution Approach 1:
The patent implements a prioritization system that processes data selectively based on relationship designations and priority levels. Instead of processing all interactions equally, the system focuses computational resources on high-priority relationships and data points, achieving sufficient analytical depth without exhaustive processing of all available data
Solution Approach 2:
The system dynamically adjusts processing parameters including priority thresholds, relationship weightings, and analysis depth based on the specific context and importance of interactions. This allows the system to optimize processing time by reducing analysis intensity for low-priority data while maintaining thorough analysis for high-priority relationships
3Measurement precision
If relationship values are determined using multiple factors including content, context, frequency, recency, and volume, then the accuracy of relationship prioritization is improved, but the computational complexity of determining indicator values increases
Solution Approach 1:
The patent breaks down the complex calculation of relationship values into separate, manageable components corresponding to each factor (content, context, frequency, recency, volume). Each factor is processed independently and then combined, making the overall computation more efficient and maintainable
Solution Approach 2:
The system introduces an intermediary prioritization layer that processes relationship indicators through multiple factors before final ranking. This intermediary processing stage organizes and structures the computational workflow, reducing overall complexity by creating a systematic framework for evaluating multiple factors
Data Source
AI summary
A method for processing data relationships on electronic media sites includes: receiving a first data string and a second data string corresponding to a first account and at least one submission on the electronic media site; determining a content identifier of the at least one submission; correlating the determined content identifier with a database of identified content; determining a value of the at least one indicator to the data relationship between first and second accounts based on: content, context, frequency, recency, and volume of the indicator; receiving a third data string corresponding to the second account; processing the first and third data strings to determine identities of the first and second accounts; assigning a relationship designation between the first and second accounts; and receiving a fourth data string selected from a plurality of data strings according to a priority determined by a plurality of relationship designations.