Dynamic Contextual Navigation for E-Commerce

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Solution Overview

Problem

Users navigating electronic commerce systems often miss relevant items due to incomplete navigation experiences, leading to dead ends and inefficiencies in finding desired products.

Innovation Solution

A dynamically generated navigation interface that uses user context to highlight unvisited areas, providing visual indicators and redirecting users to relevant pages, thereby enhancing the shopping experience by ensuring awareness of viewed and unviewed content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If users manually navigate through all network pages to ensure complete product discovery, then comprehensive item coverage is improved, but user time consumption and navigation complexity increase significantly

Engineering Contradiction:
Improveitem discovery completenessVSAvoidnavigation time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system pre-generates a navigation map that identifies all reachable network pages and categories before the user begins shopping. This preliminary analysis allows the system to proactively guide users to unvisited areas without requiring manual exploration of every page, thus achieving complete item discovery while minimizing navigation time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors user navigation behavior and provides real-time feedback through visual indicators that show which categories have been visited and which remain unvisited. This feedback mechanism guides users toward unexplored areas, ensuring comprehensive item discovery while optimizing navigation efficiency by avoiding redundant page visits.

Inventive Principle:
Principle #23Feedback

2Loss of information

If the navigation interface provides detailed information about all visited and unvisited pages, then user awareness is improved, but interface complexity and information overload increase

Engineering Contradiction:
Improvenavigation awarenessVSAvoidinterface complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The navigation interface is segmented into distinct visual components: a navigation map showing category relationships, visual indicators for visited vs. unvisited areas, and contextual breadcrumbs. This segmentation allows the system to present comprehensive navigation information in an organized, digestible format that improves user awareness without creating information overload.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different parts of the navigation interface have specialized functions: the navigation map provides overview information, visual indicators highlight unvisited areas, and contextual elements provide detailed page information. This local quality approach ensures that each interface element presents only the most relevant information for its specific function, maintaining clarity while comprehensiveness.

Inventive Principle:
Principle #3Local quality

3Adaptability or versatility

If the system tracks and analyzes all user navigation behavior to generate contextual recommendations, then personalization accuracy is improved, but data processing requirements and system resources increase

Engineering Contradiction:
Improvenavigation personalizationVSAvoidcomputational resources
Core Design Contradiction:
Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system extracts only the most relevant navigation behavior data needed for contextual understanding, such as currently visited category and recent navigation pattern, rather than processing complete browsing history. This selective extraction maintains personalization accuracy while significantly reducing data processing requirements and computational resource consumption.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system implements partial tracking by monitoring key navigation events (category changes, page visits) without continuously analyzing every user interaction. This partial action approach provides sufficient contextual information for personalized navigation assistance while minimizing the computational overhead of comprehensive behavior analysis.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11756107B1Dynamic contextual navigation
Publication Date: 2023.09.12 AMAZON TECH INC
  • US11756107B1 patent drawing
  • US11756107B1 patent drawing
  • US11756107B1 patent drawing

AI summary

Disclosed are various embodiments for providing a unique navigation experience for a user interacting with an electronic commerce site by dynamically generating a navigation interface according to a user context for a given shopping experience. The user context associated with a user interacting with an electronic commerce site can be determined following an analysis of a variety of context factors. A navigation interface can be dynamically generated based on the user context. In some examples, navigation components within the navigation interface can be associated with different categories that the user can navigate through. The navigation components can visually indicate a level of completeness for a given category so that the user is aware of where he or she is in a given shopping experience.