Social Content Management System Filtering by Community Designations
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Solution Overview
Problem
Social networks often overwhelm users with irrelevant content, making it difficult to find and manage content that aligns with their specific interests, communities, and topics.
Innovation Solution
A method and apparatus for social content management that categorizes content by community, topic, and company designations, allowing users to register and share content within a repository, and notifies users of matching interests, reducing noise by filtering out non-relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If social networks provide users with extensive content sharing capabilities, then content variety and user engagement increase, but users are overwhelmed with irrelevant content and have difficulty finding content aligned with their interests
Solution Approach 1:
The patent segments the social network content space into multiple communities, each with specific topics and interests. Users can join relevant communities and receive content filtered to their specific interests rather than receiving all network content. This segmentation resolves the contradiction by organizing content variety into manageable, relevant segments.
Solution Approach 2:
The patent introduces community moderators and automated filtering systems as intermediaries between content sources and users. These intermediaries curate and filter content based on community guidelines and user preferences, preventing irrelevant content from reaching users while maintaining content variety within the network.
2Quantity of substance
If social networks allow unlimited content sharing, then user expression and information flow increase, but noise and irrelevant information increase making content management difficult
Solution Approach 1:
The patent implements preliminary filtering and categorization of content before it reaches users. Content is pre-tagged with metadata, categorized into communities and topics, and filtered according to user preferences and community guidelines. This preliminary action maintains high content volume while reducing noise by organizing and filtering content before delivery.
Solution Approach 2:
The patent incorporates feedback mechanisms where users indicate content relevance, and community moderators adjust filtering criteria based on community needs. This feedback loop continuously optimizes the signal-to-noise ratio while maintaining content volume, as the system learns from user responses to improve filtering accuracy.
3Ease of operation
If social networks implement comprehensive content filtering, then relevant content delivery improves, but system complexity and processing requirements increase
Solution Approach 1:
The patent divides the filtering system into multiple independent community-specific filters rather than one monolithic system. Each community has its own moderation guidelines, topic categories, and filtering rules, which can be managed independently. This segmentation reduces overall system complexity by breaking down the filtering task into manageable, specialized components.
Solution Approach 2:
The patent enables users to self-configure their content preferences, join and leave communities, and customize their feeds without requiring complex system-wide reconfiguration. This self-service approach reduces the operational complexity of the filtering system by allowing users to manage their own content delivery preferences.
Data Source
AI summary
A method includes, in a server residing in a network of interconnected computers, populating a repository with content, each one of the content categorized by at least one community designation, one topic designation, one tag and/or one company designation, receiving registration information for users, the registration information including a username and at least one community designation, one topic designation, one tag and/or one company designation, receiving content from a first user, the content including at least one community designation, one topic designation, one tag and/or one company designation, storing the received content in the repository, and notifying a subset of users of the received content, the community designation, topic designation, tag and/or company designation of each of the subset of users matching the community designation, topic designation, tag and/or company designation of received content.