Descriptive Buttons for Personalized Content Access
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Websites fail to provide users with relevant information quickly, leading to a disappointing user experience due to the lack of personalized and specific content, as conventional buttons do not accurately reflect user interests, resulting in reduced user engagement.
Innovation Solution
Implementing descriptive buttons that utilize user data and content analysis through multiple databases to create personalized buttons with multiple descriptions, allowing users to access relevant information in a single click by identifying descriptive groups based on user demographics and content trends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional single-description buttons are used, then the website structure remains simple and easy to operate, but the content relevance to users is low and users cannot quickly access specific information
Solution Approach 1:
The patent segments the button functionality by creating multiple buttons, each representing a specific descriptive group (e.g., 'Finance news for 30-40 year olds in finance industry', 'Technology articles for tech enthusiasts'). This segmentation allows precise content matching while keeping each button's label simple and intuitive, resolving the contradiction between content relevance and button structure complexity.
Solution Approach 2:
The patent adds a new dimension to button labeling by incorporating multiple descriptive attributes (demographics, interests, content type) into each button's identity. Instead of single-label buttons, each button now represents a multi-dimensional descriptive group, enabling precise content filtering without complicating the user interface.
2Measurement precision
If multiple buttons are used to represent different content categories, then content specificity improves, but the number of buttons increases making the interface more complex
Solution Approach 1:
The patent makes each button universal by assigning it multiple functions through descriptive groups. A single button like 'Finance news' can serve multiple purposes by filtering content based on different descriptive groups (age, location, profession), thereby reducing the total number of buttons needed while maintaining high content specificity.
Solution Approach 2:
The patent changes the parameters of button functionality by introducing descriptive group filters (demographics, interests, content type) that can be dynamically applied. This allows a limited set of buttons to represent numerous content variations through parameter changes rather than requiring separate buttons for each variation.
3Productivity
If personalized content is provided based on user data, then user engagement increases, but data collection and processing complexity increases
Solution Approach 1:
The patent performs preliminary action by pre-defining descriptive groups and their associated content filters before user interaction. The system prepares descriptive group configurations in advance, allowing rapid content selection based on user profiles without complex real-time processing, thus improving engagement while controlling system complexity.
Solution Approach 2:
The patent uses copying by creating reusable descriptive group templates that can be applied to multiple users. Instead of building custom content filtering systems for each user, the system copies and adapts pre-defined descriptive group configurations, reducing data processing complexity while maintaining personalized content delivery.
4Measurement precision
If detailed user information is collected and analyzed, then content personalization improves, but the system complexity and data management burden increases
Solution Approach 1:
The patent extracts only the necessary information from user data to form descriptive groups. Instead of processing all available user information, the system extracts and uses only the relevant attributes (age, location, interests, profession) needed for content personalization, reducing data management complexity while maintaining high personalization accuracy.
Solution Approach 2:
The patent applies local quality by tailoring content filters to specific descriptive groups rather than applying uniform processing to all users. Each descriptive group has its own content characteristics and filters, allowing precise local customization without requiring complex global processing systems.
Data Source
AI summary
A method to make website buttons more efficient at displaying content. Mathematical, tagging, and similar methods are used to find which web contents can be described by more than one description. The plurality of description are grouped together and presented in a single descriptive website button. Upon clicking of the descriptive-button, users are presented with list of web contents that specifically meet the plurality of descriptions listed on the website button.