Contextual User Interface Personalization via Client Segmentation
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Solution Overview
Problem
Existing user interfaces on client devices display content in a non-personalized manner, leading to inefficient page generation and network traffic due to the need for multiple iterations of page rendering to deliver relevant information, and limited dynamic attributes sourced only from internal systems.
Innovation Solution
A communication network system generates a contextual user interface by using a controller application to filter and personalize content based on client segments, rules, and predictive models, incorporating dynamic attributes from external sources, thereby optimizing content display and reducing unnecessary page traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is displayed consistently across all clients using standard templates, then implementation simplicity is maintained, but user personalization and relevance are reduced
Solution Approach 1:
The patent segments user base into different client profiles with distinct characteristics, behaviors, and preferences. By dividing the homogeneous content delivery approach into personalized segments, the system can apply different content strategies to different user groups, thereby achieving personalization without completely redesigning the entire content delivery system.
Solution Approach 2:
The patent introduces an intermediary component that sits between the standard content templates and the user interface. This intermediary dynamically selects, filters, and personalizes content based on client characteristics before presentation, thus achieving personalization without requiring complex modifications to the underlying template system.
2Loss of information
If multiple iterations of page rendering are performed to deliver relevant information, then content relevance is improved, but network traffic and processing time increase
Solution Approach 1:
The patent performs preliminary actions by pre-analyzing client characteristics, behaviors, and preferences before content delivery. This advance preparation allows the system to pre-determine the most relevant content for each user, eliminating the need for multiple iterative rendering cycles and reducing both time and network traffic.
Solution Approach 2:
The patent implements feedback mechanisms that utilize user interactions, viewing patterns, and behavioral data to continuously refine content selection. This feedback loop enables the system to learn from user responses and improve content relevance over time without requiring repeated page rendering iterations.
3Adaptability or versatility
If dynamic attributes are sourced only from internal systems, then system simplicity is maintained, but content richness and personalization capability are limited
Solution Approach 1:
The patent creates a universal data integration framework that can accommodate multiple data sources (internal and external) through a common interface and processing mechanism. This multi-functional approach allows the system to incorporate diverse dynamic attributes from various sources without requiring separate processing systems for each data type.
Solution Approach 2:
The patent introduces an intermediary data integration layer that mediates between multiple internal and external data sources and the content personalization engine. This intermediary standardizes data formats, handles data quality issues, and manages data flow, thereby enabling rich content personalization while managing integration complexity centrally rather than at each data source.
Data Source
AI summary
A system may be configured obtain, from a content data store coupled to the system, content based on at least one of a segment associated with a client or a rule applicable to the client, in which the content comprises one or more cards, generate initial parameters for presenting the content in a contextual user interface at the client, in which the initial parameters indicate a layout for presenting the one or more cards, transmit the content and the initial parameters for the contextual user interface to the client for the client to initiate rendering of the contextual user interface, obtain one or more dynamic attributes to be added to the content from one or more external sources, and generate rendering parameters for the contextual user interface based on the dynamic attributes.