Recommendation System Reduces Navigational Steps
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Solution Overview
Problem
Conventional network-based systems face challenges in presenting related items in an intuitive manner, leading to increased user interactions and navigational steps when browsing through large electronic catalogs, as the ordering of items does not align with user priorities and is often unclear.
Innovation Solution
A recommendation system identifies a single related item associated with user-important factors and displays it prominently in the user interface, along with a label explaining why it is recommended, allowing users to quickly identify desirable items without extensive navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple related items are displayed in a carousel view, then users can access more item options, but the number of navigational steps and user interactions increases significantly
Solution Approach 1:
The patent extracts the most relevant related items from the complete set of related items and displays them directly on the content page without requiring users to navigate through a carousel. This extraction principle reduces the number of navigational steps while maintaining access to the most important item options.
Solution Approach 2:
The system performs preliminary analysis to identify and prioritize related items before display, pre-ordering them based on user importance factors. This preliminary action ensures that the most relevant items are immediately visible without requiring user navigation through multiple pages or carousel interactions.
2Extent of automation
If related items are ordered by system algorithms, then item recommendations can be generated automatically, but the ordering does not align with user priorities and becomes unclear to users
Solution Approach 1:
The patent applies different ordering criteria to different contexts by identifying user-important factors specific to each item and situation. Instead of a single global ordering algorithm, the system tailors the ordering to local user needs and priorities, making the recommendations more meaningful and aligned with what users actually care about.
Solution Approach 2:
The system changes the ordering parameters from generic algorithmic rankings to user-specific importance factors. By dynamically adjusting which parameters are used for ordering based on user behavior and preferences, the system maintains high automation while ensuring the results align with user priorities.
3Stability of the object's composition
If conventional systems display related items on separate pages, then content organization is maintained, but user browsing efficiency decreases due to additional page requests
Solution Approach 1:
The patent merges the display of related items with the main content page by embedding related item information directly on the current page. This combining of原本 separate content into a single view eliminates the need for additional page requests while maintaining clear organization through visual separation and labeling of different content sections.
Data Source
AI summary
An improved user interface in which related items are organized in a manner that is intuitive to a user, and ultimately results in the number of navigational steps performed by the user to identify desired items being reduced, is described herein. For example, instead of having a user interface display a large number of related items, a recommendation system can identify a single item related to an item initially selected by the user that is associated with one or more factors a user likely finds important in deciding which item to select, and produce data that results in a user interface that displays the single related item. Optionally, the user interface can display the single related item in an above-the-fold (ATF) portion of the user interface such that the single related item is visible to a user without the user having to interact with the user interface.