Grouped Related Items Interface Reducing Navigation Steps
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Solution Overview
Problem
Conventional network-based systems face challenges in presenting content in a manner that minimizes user interactions and navigational steps when browsing through large electronic catalogs, as users often have to navigate through unfamiliarly ordered lists of related items, leading to inefficiencies in finding desired content.
Innovation Solution
A recommendation system organizes related items into intuitive groups based on their attribute values, generating labels for these groups to allow users to browse through smaller subsets of items that correspond with their interests, thereby reducing the number of navigational steps required to find desired content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If related items are displayed in a single sequential list (carousel view), then all related items can be shown, but the number of navigational steps required to find desired items increases
Solution Approach 1:
The patent segments the list of related items into multiple groups based on shared attributes (e.g., brand, price range, features). Each group is displayed in a separate carousel, allowing users to quickly navigate to items with specific attributes without scrolling through the entire list. This segmentation reduces navigational steps while maintaining comprehensive item display.
2Ease of operation
If related items are grouped by attributes with labels, then users can quickly locate items of interest, but the device complexity of the recommendation system increases
Solution Approach 1:
The system performs preliminary grouping and labeling of related items based on their attributes before displaying them to users. By pre-organizing items into attribute-based groups with descriptive labels, the system reduces the computational complexity during user interaction while improving ease of operation. The grouping logic is established in advance, allowing for efficient rendering and navigation.
3Productivity
If multiple carousels are displayed to show grouped related items, then navigational efficiency improves, but the screen space required increases
Solution Approach 1:
The patent divides the display area into multiple independent carousel sections, each dedicated to a specific attribute group. This segmentation allows efficient use of screen space by presenting only relevant item subsets in each carousel, improving browsing efficiency while maintaining compact layout. Users can quickly scan multiple small carousels rather than navigating one large list.
Solution Approach 2:
The patent transitions from a single-dimensional sequential list to a multi-dimensional organized structure where items are arranged in parallel carousels based on attributes. This dimensional change allows the system to utilize screen space more effectively by displaying multiple item subsets simultaneously in a grid-like arrangement, improving productivity without proportionally increasing screen occupation.
Data Source
AI summary
An improved user interface in which related items are grouped intuitively, and ultimately results in the number of navigational steps performed by the user to identify desired related items being reduced, is described herein. For example, instead of having a user interface display a single view that includes all related items, a recommendation system groups the related items based on their respective attribute values and produces data that results in a user interface that displays the related items in these groups. The recommendation system generates labels for these groups such that a user can clearly identify what types of related items are included therein. Thus, a user would not have to browse through a single list of related items ordered in an unfamiliar manner. Rather, a user can browse through smaller subsets of related items, and only in those groups that correspond with attribute values of interest to the user.