Content Relevance Scoring and Feedback Adjustment
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Solution Overview
Problem
Users face challenges in finding relevant content within social networks due to the vast amount of information, leading to inefficiencies in accessing and processing content.
Innovation Solution
A server system identifies and displays relevant content to users by applying relevance criteria, adjusts relevance scores based on user feedback, and organizes content items according to these scores for improved accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all content items are provided to users in a social network, then the quantity of available content increases, but the difficulty of finding relevant content increases
Solution Approach 1:
The patent segments the vast content into categorized groups (e.g., news, entertainment, sports) and further divides them into relevant and irrelevant subsets based on user profiles. This segmentation allows users to navigate organized content categories rather than searching through all content indiscriminately, resolving the contradiction between content quantity and findability.
Solution Approach 2:
The patent introduces an intermediary filtering system that automatically separates relevant content from irrelevant content based on user profiles, preferences, and behavior patterns. This intermediary layer processes the relationship between users and content, presenting only relevant items to users while maintaining access to the full content library, thus solving the information overload problem.
2Productivity
If conventional methods are used to access content, then all content items are available, but the efficiency of accessing relevant content decreases
Solution Approach 1:
The patent performs preliminary actions by pre-processing and categorizing content according to user profiles before users request it. User profiles are created in advance with preferences and interests, and content is pre-filtered and organized into relevant categories based on these profiles. When users access the system, the filtering and organization work is already complete, eliminating the need for users to manually search through irrelevant content and significantly reducing time loss.
3Measurement precision
If relevance criteria are applied to filter content, then relevant content is identified more accurately, but the system complexity increases
Solution Approach 1:
The patent employs parameter changes by utilizing multiple variables in the relevance determination process, including user profile attributes, content characteristics, interaction history, and preference weights. By dynamically adjusting and combining these parameters, the system achieves accurate relevance identification. The complexity is managed through structured algorithms that systematically process these parameters rather than ad-hoc filtering methods.
Data Source
AI summary
A server system sends links to content categories for display on a user device associated with a user. Each content category corresponds to a subset of content items. When a link to one of the content categories is selected, the corresponding subset of the content items is sent for display on the user device. The system selects a group of content items according to determined relevance scores for the user based on one or more relevance criteria and sends links to the content items in the group for display on the user device in a first order according to the relevance scores. The system adjusts the relevance scores of some content items in the group according to user feedback and resends links to the content items in the group for display on the user device in a second order according to the adjusted relevance scores.