Dynamic Webpage Rendering via User Profile Pack Selection
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Solution Overview
Problem
Current webpages are static, providing the same content to all users without personalization, failing to tailor the user experience based on individual preferences or demographics.
Innovation Solution
A system and method for rendering customized webpages by retrieving user profiles and decks of packs, where each pack contains cards with variations, allowing for selection and rendering of webpages tailored to individual user preferences and demographics, enabling personalized content and structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If webpages are made static with same content for all users, then webpage structure is simple and easy to maintain, but user experience is not personalized and relevant information cannot be filtered
Solution Approach 1:
The webpage is segmented into multiple packs, where each pack represents a modular unit containing specific content elements. This segmentation allows the system to selectively assemble different packs based on user profiles, enabling personalization without requiring complete restructuring of the entire webpage for each user.
Solution Approach 2:
The webpage structure transitions from static to dynamic by introducing user profiles that influence content selection. The system dynamically selects and assembles webpage packs based on user characteristics stored in profiles, allowing the same webpage template to adapt its content composition for different users while maintaining a consistent structural framework.
2Speed
If all webpage elements are displayed to every user, then complete information is provided, but loading speed decreases and irrelevant information distracts users
Solution Approach 1:
The system extracts only the relevant content elements from the available packs based on user profiles. By taking out and displaying only the necessary information for each user, the system reduces loading time and eliminates irrelevant content while maintaining information completeness for that specific user context.
Solution Approach 2:
Different packs contain content optimized for different user types or contexts. The system applies local quality by selecting packs with content characteristics matched to specific user profiles, ensuring that each user receives content with appropriate depth, format, and relevance for their needs.
3Adaptability or versatility
If user profiles are retrieved and processed, then personalized content selection is enabled, but system processing time and complexity increase
Solution Approach 1:
User profiles are retrieved and processed in advance before content delivery. The system performs preliminary matching between user profiles and appropriate packs, caching the selection results or pre-processing user data to reduce real-time processing requirements during actual content delivery.
Solution Approach 2:
The system processes only the essential user profile attributes needed for pack selection rather than analyzing complete user data. This partial processing approach enables personalization while minimizing processing time by focusing on key discriminatory features of user profiles.
Data Source
AI summary
Systems and Methods of the current disclosure may provide customized webpages. A client device of the system may retrieve a profile corresponding to a user. The client device may further receive a deck including a set of packs, with each pack including a set of cards. As defined herein, a deck corresponds to a workflow (i.e., a series of webpages), while each pack includes context specific user-interface elements which make up a webpage. Further, a card may correspond to one or more elements of the webpage. The client device renders and displays webpages locally by selecting elements to be displayed on the webpage based on a details corresponding to a user of the client device. In other words, the client device creates webpages by selecting one or more cards for each pack of the deck based on details indicated in the profile.