Web Preference System Single-Action Recording
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Solution Overview
Problem
Users face difficulties in locating relevant content in large repositories due to the presence of duplicate, spam, or irrelevant content, and cumbersome mechanisms for indicating interest, which can lead to slow response times and mismatched content preferences.
Innovation Solution
A preference system that allows users to submit, manage, and interact with content through a web-based interface, utilizing a database to record preference events such as digging, burying, and commenting, with features like RSS feeds, user profiles, and visualization tools to curate content based on user interests and community feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually indicate interest in content through multiple clicks and page refreshes, then content preferences can be recorded, but the process is cumbersome and slow to respond
Solution Approach 1:
The system automatically records user preferences by monitoring and storing preference events (digging, burying, commenting) without requiring explicit manual input. The database automatically captures user interactions and stores them as preference events, eliminating the need for users to manually indicate interests through multiple clicks and page refreshes.
Solution Approach 2:
The patent replaces manual mechanical interaction (multiple clicks, page refreshes) with automated electronic preference event recording. The system uses database storage and automated preference event capture to replace the manual mechanical process of indicating interest, thereby reducing operational complexity while maintaining recording accuracy.
2Object-affected harmful factors
If the system requires a waiting period before comments appear, then profanity and off topic information can be controlled, but user feedback is slow to respond
Solution Approach 1:
The system implements real-time feedback by immediately recording and storing user preference events in the database without requiring waiting periods. Comments and feedback are captured as preference events and stored automatically, allowing instant response while still enabling content quality control through the preference event recording mechanism.
Solution Approach 2:
The system performs preliminary recording of preference events before final content display. By capturing and storing preference events immediately upon user interaction, the system prepares feedback data in advance, eliminating waiting periods while maintaining content quality through automated filtering and recording mechanisms.
3Adaptability or versatility
If content repositories contain vast amounts of content, then user interest can be represented, but locating relevant content becomes difficult due to duplicate and spam content
Solution Approach 1:
The system extracts and separates relevant content from duplicate and spam content by recording and storing only meaningful preference events in the database. The preference event recording mechanism filters out irrelevant interactions and stores only genuine user preferences, making relevant content easier to locate while maintaining the ability to represent diverse user interests.
Solution Approach 2:
The database of recorded preference events serves as an intermediary between raw content and user interests. This intermediary structure organizes and filters content based on recorded preferences, making it easier to locate relevant content while maintaining the system's ability to adapt to diverse user interests across large content repositories.
4Loss of information
If the system uses traditional preference indication mechanisms, then content can be categorized, but multiple clicks and page refreshes are required
Solution Approach 1:
The system automatically captures and stores preference data through automated preference event recording without requiring users to perform multiple clicks or page refreshes. The database automatically records user interactions as preference events, eliminating the complexity of manual preference indication while ensuring complete preference data capture.
Data Source
AI summary
Recording a first user's preference for a content contribution submitted by a second user is disclosed. In response to only a single action taken by the first user interacting with a web page, an indication is received that a preference event occurred. The preference event is associated with the content contribution. Information associated with the first user's profile is updated. At least of a portion of the web page is continued to be displayed to the user after receiving the preference event.