Social Network Content Filtering via User Profile Significance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Social networking websites struggle to effectively display content relevant to individual user preferences and interests, often presenting information based on predefined criteria rather than user-defined settings, leading to a lack of personalized and relevant content.
Innovation Solution
A computer-implemented method and system that maintains user profiles with customizable settings for preferences and interests, allowing users to selectively display filtered content through a graphical user interface, where keywords are adjusted based on user input and significance, enabling personalized content filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is displayed based on predefined criteria (time, advertising interests, host decisions), then content can be presented to users, but the content relevance to individual user preferences and interests deteriorates
Solution Approach 1:
The system performs preliminary actions by maintaining user profiles with pre-defined preferences and interests before content display. The filtering mechanism uses these pre-stored preferences to automatically filter and personalize content for each user, eliminating the need for real-time analysis of user preferences and reducing system complexity during content delivery.
Solution Approach 2:
The patent introduces an intermediary filtering mechanism that sits between the content source and the user. This intermediary uses stored user preferences to selectively filter content before presentation, acting as a mediator that personalizes content without requiring complex real-time processing or direct user-system interactions for each content display.
2Loss of information
If all available content is presented to satisfy every user, then content coverage is comprehensive, but content relevance to individual users deteriorates
Solution Approach 1:
The system extracts and utilizes only the relevant portions of content based on stored user preferences. Instead of presenting all available content, the filtering mechanism extracts and displays only those content items that match the user's predefined interests and preferences, eliminating irrelevant information while maintaining comprehensive coverage of relevant topics.
3Loss of information
If content filtering is based on user preferences and interests, then content relevance improves, but system complexity increases
Solution Approach 1:
The system implements self-service by automatically maintaining user profiles with preferences and interests without requiring continuous manual input from users. The filtering mechanism automatically uses these self-maintained profiles to personalize content, reducing the need for complex manual configuration systems while maintaining high content relevance.
Data Source
AI summary
A computer-implemented method for selectively displaying a content to a user of a social network, including maintaining in a computer system for each user of the social network a profile including data on individual preferences and/or interests of the user and the significance of each preference and/or interest for the user; providing input data including content; receiving a request of the user for displaying content; and selectively displaying filtered content to the user in response to the request, in which the filtered content is displayed in accordance with the profile of the user.