Social Media Feed Aggregation and Filtering System

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Solution Overview

Problem

Users of social networking services face overwhelming amounts of irrelevant content, particularly on mobile networks, where data usage constraints are a concern, and current solutions lack user control over data representation and do not dynamically adapt to user timelines and locations.

Innovation Solution

A system that aggregates social media content from multiple feeds, filters out repetitive data, and analyzes it to present a digest categorized by topic, using a user's preferences to control content delivery, including size and format, through a proxy that processes data based on user-defined preferences stored in a repository.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If social media content is aggregated from multiple feeds, then the quantity of content increases, but the quality and relevance of content decreases due to repetitive and irrelevant data

Engineering Contradiction:

Improvequantity of contentVSAvoidquality and relevance of content

Core Design Contradiction:

Quantity of substanceVSLoss of information

Solution Approach 1:

The system extracts and removes repetitive data from aggregated social media content by comparing content across multiple feeds and identifying duplicates. This extraction process separates relevant unique content from redundant information, delivering only the valuable portion to users while maintaining high content quality despite aggregating from multiple sources.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system changes parameters of content delivery by analyzing user preferences, device type, and network conditions to dynamically adjust what content is delivered. This allows the system to maintain high relevance by adapting content selection based on varying parameters such as user interests, time of day, and whether the user is on mobile or desktop.

Inventive Principle:

Principle #35Parameter changes

2Loss of information

If filtered and categorized data is presented to users, then content relevance improves, but system complexity increases due to filtering and analysis requirements

Engineering Contradiction:

Improvecontent relevanceVSAvoidsystem complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The system performs preliminary filtering and categorization of social media content before delivery to users. By pre-processing content to remove repetitive data and categorize by topic, the system reduces the complexity burden on user devices while maintaining high relevance. The heavy lifting of filtering is done in advance by the aggregation service.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary layer between multiple social media feeds and the user that handles filtering and categorization. This intermediary service consolidates the complexity of processing multiple feeds, transforming them into organized, relevant content streams that are easier for users to consume without requiring complex local processing.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Loss of information

If users receive comprehensive social media content, then information completeness improves, but data usage and bandwidth consumption increase

Engineering Contradiction:

Improveinformation completenessVSAvoiddata usage and bandwidth consumption

Core Design Contradiction:

Loss of informationVSLoss of energy

Solution Approach 1:

The system extracts only the essential and relevant portions of social media content based on user preferences and behavior patterns. Instead of delivering complete uncompressed content from all feeds, it extracts key information while eliminating redundancy, thereby maintaining information completeness for what matters to the user while significantly reducing overall data transmission and bandwidth consumption.

Inventive Principle:

Principle #2Taking out (Extraction)

4Adaptability or versatility

If content is customized based on user preferences, then user control and relevance improve, but processing requirements and computational resources increase

Engineering Contradiction:

Improveuser control and relevanceVSAvoidprocessing requirements and computational resources

Core Design Contradiction:

Adaptability or versatilityVSPower

Solution Approach 1:

The system performs preliminary analysis of user preferences and behavior patterns to pre-configure content filtering rules. By establishing user profiles and preference settings in advance, the system reduces real-time processing requirements while still delivering highly customized and relevant content. The computational heavy lifting of understanding user preferences is done beforehand rather than for every content delivery.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS9953079B2Preference based system and method for multiple feed aggregation and presentation

Publication Date: 2018.04.24 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A computer system for improving the presentation of social media data from multiple social network feeds is provided. The computer system may include aggregating social media content received from the multiple social network feeds. The computer system may also include generating filtered data by eliminating repetitive data from among the received aggregated social media content. The computer system may further include analyzing the filtered data for determining at least one data category and presenting a digest of social media content based on the determined at least one data category.