Website Navigation Tendency Display for User Discovery
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Solution Overview
Problem
E-commerce websites lack the ability to provide users with information on how they and other users navigate through categories and subcategories, making it difficult for customers to efficiently find products or services on subsequent visits.
Innovation Solution
A system that monitors user interactions and displays navigation tendencies by recording data on category and subcategory visits, allowing users to view how others, including similarly situated users or more experienced users, navigate the website, thereby enhancing user experience and discovery of new products or services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detailed tracking methodologies are implemented to monitor user interactions, then user navigation data can be collected, but users cannot view how they or other users tend to navigate the website
Solution Approach 1:
The patent implements feedback by displaying navigation tendency information back to users. The system collects navigation data through tracking methodologies and then presents this aggregated information to users, showing them how they and other users tend to navigate the website. This creates a closed-loop system where user actions are monitored and the results are fed back to inform future navigation decisions.
Solution Approach 2:
The patent introduces an intermediary component that processes raw navigation data and transforms it into meaningful navigation tendency information. This intermediary layer aggregates individual user tracking data, analyzes navigation patterns, and presents synthesized results to users, thereby bridging the gap between complex data collection systems and user-friendly information display.
2Loss of time
If users navigate websites without navigation tendency information, then the website structure remains simple, but users must spend time re-navigating categories and subcategories on subsequent visits
Solution Approach 1:
The patent applies preliminary action by pre-calculating and displaying navigation tendency information before users need to navigate. The system anticipates user needs by showing them popular navigation paths and categories in advance, allowing users to make informed decisions about where to navigate next without having to manually explore each category.
Solution Approach 2:
The patent replaces the mechanical navigation process (manual exploration of categories and subcategories) with an information-based system. Instead of users physically navigating through the website structure by clicking through menus and categories, the system substitutes this mechanical process with displayed navigation tendency information that guides users directly to relevant content.
3Adaptability or versatility
If navigation tendency information is displayed for all users, then user experience is improved, but the system must process and store extensive user interaction data
Solution Approach 1:
The patent applies local quality by providing different navigation tendency information to different user groups based on their specific characteristics. Rather than displaying uniform information to all users, the system tailors the navigation tendencies shown to match user profiles, such as showing tendencies for similarly-situated users or more experienced users, thereby optimizing the relevance and utility of the information for each user segment.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting which navigation tendency information is displayed based on various parameters such as user experience level, user demographics, and current context. The system changes the parameters of information delivery to optimize both the quality of user experience and the efficiency of data processing by showing only the most relevant navigation tendencies for each user situation.
Data Source
AI summary
The example systems and methods provide ways for websites to monitor, store, retrieve, and display navigation tendencies of users of websites. More particularly, the systems and methods involve websites displaying measures of user traffic associated with various categories of web content. The measures of user traffic may inform a user of how the user previously navigated the various hierarchical categories of web content, or the measures of user traffic may inform a user of how others navigate the various hierarchical categories of web content. Moreover, the user may select an identifiable group of users for which the website will display navigation tendencies. In the alternative, the website may display navigation tendencies of an identifiable group of users based on an identity of the user viewing the website.