Trend Data Aggregation System for Social Media
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Solution Overview
Problem
Merchants face difficulties in gathering and aggregating data from various social networking platforms, and presenting it in a useful format to consumers in real-time or near real-time, to effectively influence purchasing decisions.
Innovation Solution
A trend aggregation system comprising a backend data collector, trend database, and trend server that collects, sorts, and displays real-time or near real-time trending product data from social media and transaction databases, using a graphical user interface to showcase trending products based on user preferences and behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is collected from multiple heterogeneous social networking platforms, then the quantity and variety of trend data increases, but the complexity of data aggregation and processing increases
Solution Approach 1:
The system segments data collection by implementing separate data collection modules for different social networking platforms (microblogging, social sharing, etc.), allowing each module to handle platform-specific data formats and protocols independently while contributing to a unified trend data set
Solution Approach 2:
The patent introduces an intermediary data aggregation layer that standardizes and normalizes data from heterogeneous platforms before processing. This intermediary layer handles format conversion, data cleaning, and normalization, simplifying the overall system architecture by isolating platform-specific complexities
2Loss of time
If real-time or near real-time data processing is implemented, then the timeliness of trend information improves, but the computational resources and processing speed requirements increase
Solution Approach 1:
The system implements periodic data collection and processing cycles, updating trend information at scheduled intervals rather than continuously. This approach maintains timely information delivery while reducing computational overhead by processing data in discrete batches rather than in continuous real-time streams
Solution Approach 2:
The patent processes only the most relevant and significant data elements in real-time or near real-time, while less critical data is processed asynchronously or in batches. This partial processing approach delivers timely trend information for key metrics without requiring full computational resources for all data
3Reliability
If comprehensive data aggregation from multiple sources is performed, then the usefulness and accuracy of trend information improves, but the difficulty of data gathering and processing increases
Solution Approach 1:
The system implements a universal data collection framework that can adapt to multiple social networking platforms through standardized interfaces and protocols. This multi-functional architecture allows the same core processing logic to handle data from diverse sources, reducing the difficulty of gathering comprehensive data while maintaining accuracy
Data Source
AI summary
Systems and methods are provided for collecting, sorting, and reporting data sets representing transactions, product reviews, social media product mentions, or the like. According to embodiments of the present disclosure, a trend aggregation system includes a backend data collector, a trend database, and a trend server. Data may be gathered from heterogeneous sources such as transaction records, product reviews posted by consumers on web sites, and product mentions posted on social network platforms. The data may be sorted and stored in a way to provide recall of trend data segments filtered according to selected parameters.