Web Feed Trend Analysis Agents for Content Relevance

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Solution Overview

Problem

Users are overwhelmed with numerous online content feeds, making it difficult to identify relevant and trending local or global content amidst a plethora of unsubscribed and uninteresting updates.

Innovation Solution

A system and method that aggregates web feeds from multiple sources, filters content based on geographical relevance, and uses trending analysis agents to identify and prioritize trends by analyzing candidate phrases through matrix factorization and scoring algorithms, presenting users with temporally and geographically relevant content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If users subscribe to multiple web feeds to access diverse content, then content variety increases, but information overload increases and relevance decreases

Engineering Contradiction:

Improvecontent varietyVSAvoidinformation relevance

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system extracts and identifies trending topics from the aggregated web feeds using trend analysis agents and matrix factorization. By separating trending content from non-trending content, the system presents only the most relevant information to users, filtering out irrelevant updates while maintaining access to diverse content sources.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system changes the parameter of content prioritization by using scoring algorithms to rank feed items based on trendiness, geographical relevance, and user preferences. This transforms the static feed display into a dynamic, prioritized presentation that adapts to user needs and reduces information overload.

Inventive Principle:

Principle #35Parameter changes

2Loss of information

If users manually filter web feeds to find relevant content, then information relevance improves, but time consumption increases

Engineering Contradiction:

Improveinformation relevanceVSAvoidfiltering time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system performs automatic filtering and trend identification without requiring user intervention. Trend analysis agents continuously monitor web feeds, identify trending topics, and prioritize content automatically. This self-service approach eliminates the need for users to manually filter feeds while maintaining high information relevance.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary filtering and trend analysis before presenting content to users. By pre-processing the web feeds to identify and prioritize trending items, the system saves users time when they access their feeds, as the most relevant content is already positioned for easy access.

Inventive Principle:

Principle #10Preliminary action

3Quantity of substance

If the system aggregates feeds from multiple sources to provide comprehensive coverage, then content completeness improves, but system complexity increases

Engineering Contradiction:

Improvecontent completenessVSAvoidsystem complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The system segments the complex task of trend identification into multiple independent trend analysis agents, each specializing in different aspects such as topic detection, geographical relevance, and temporal analysis. This modular approach manages system complexity by dividing the aggregation and analysis process into manageable, specialized components.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces matrix factorization and scoring algorithms as intermediary processing layers between feed aggregation and user presentation. These intermediaries transform the raw, complex aggregated data into structured, prioritized output, managing the complexity transition from comprehensive input to refined output.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Ease of operation

If the system prioritizes trending content to improve user engagement, then user satisfaction improves, but information diversity may decrease

Engineering Contradiction:

Improveuser satisfactionVSAvoidinformation diversity

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system applies partial prioritization to trending content rather than exclusively displaying trending items. By partially prioritizing trending content while still including other relevant feed items, the system maintains user satisfaction through engaging content while preserving information diversity through balanced representation of different feed sources.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS8176046B2System and method for identifying trends in web feeds collected from various content servers

Publication Date: 2012.05.08 AMERICAN EXPRESS KABBAGE INC

AI summary

Systems and methods for identifying trends in web feeds collected from various content servers are disclosed. One embodiment includes, selecting a candidate phrase indicative of potential trends in the web feeds, assigning the candidate phrase to trend analysis agents, analyzing the candidate phrase, by each of the one or more trend analysis agents, respectively using the configured type of trending parameter, and/or determining, by each of the trend analysis agents, whether the candidate phrase meets an associated threshold to qualify as a potential trended phrase.