Adaptive Content Display Prioritization for Purchase History
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Solution Overview
Problem
Users face difficulty in finding specific information after purchasing an item for sale due to mixed content on sale item pages, where frequently and infrequently viewed parts are intermingled, leading to time and effort in locating desired information.
Innovation Solution
An information processing apparatus and method that determines user purchase history to prioritize display of frequently viewed parts after purchase, ensuring these parts are more prominently shown or easily accessible within the content, while less frequently viewed parts are highlighted for non-purchasers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If contents including information of an item for sale are displayed in a fixed manner, then the structure is simple and easy to implement, but users cannot easily find desired information after purchase
Solution Approach 1:
The patent applies dynamics by making the content display adaptive rather than fixed. The display configuration changes dynamically based on user purchase status - before purchase showing general information and after purchase highlighting post-purchase relevant parts. This resolves the contradiction by enabling easy information finding through adaptive display while maintaining reasonable system complexity through automated detection and reconfiguration.
Solution Approach 2:
The patent changes display parameters such as highlighting, positioning, and visibility of content elements based on purchase status. After purchase, the system modifies parameters to emphasize post-purchase information and reduce visibility of pre-purchase information, thereby making desired information easier to find without requiring complex manual search.
2Loss of time
If all parts of contents are displayed with equal importance, then the display is simple, but frequently and infrequently viewed parts are mixed making information search time-consuming
Solution Approach 1:
The patent extracts and separates content into different priority levels based on viewing frequency and purchase status. Frequently viewed post-purchase parts are extracted and highlighted, while less relevant parts are de-emphasized or hidden. This extraction approach reduces search time by presenting only relevant information prominently while maintaining manageable system complexity through automated classification.
Solution Approach 2:
The patent segments content into distinct categories such as pre-purchase information and post-purchase information, then further divides post-purchase information into frequently viewed and rarely viewed parts. This segmentation allows the system to apply different display strategies to different segments, reducing overall search time while keeping the prioritization logic organized and manageable.
3Adaptability or versatility
If content display is customized based on purchase history, then user experience is improved, but the system complexity increases
Solution Approach 1:
The patent implements self-service by having the system automatically detect purchase status and reconfigure display without manual user input or complex configuration. The system serves itself by using purchase history data to autonomously adjust content prioritization, thereby achieving high adaptability to user status while minimizing operational complexity through automation.
Solution Approach 2:
The patent uses feedback from purchase history data to continuously optimize content display. The system monitors what parts users view after purchase and adjusts future displays accordingly, creating a feedback loop that improves adaptability. This feedback mechanism allows the system to learn from user behavior and automatically refine its prioritization without requiring complex manual programming.
Data Source
AI summary
It is made possible that a user easily find a part which the user wants to see from contents of information of an item for sale purchased by the user. An information processing apparatus determines whether or not a user who requests contents including information of an item for sale has purchased the item for sale. Further, the information processing apparatus identifies a part that has been seen in the contents on the basis of a history indicating at least a displayed part of the contents after purchase of the item for sale. Then, the information processing apparatus causes the contents to be displayed in a state in which the identified part is seen more preferentially when it is determined that the user has purchased the item for sale than when it is determined that the user has not purchased the item for sale.