Dynamic Image Personalization via User Preference Mapping
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Solution Overview
Problem
Conventional approaches to displaying images on webpages are impersonal and fail to tailor the user experience, as they rely on technical parameters and a single image for all users, leading to inconsistent engagement and increased costs with multiple images.
Innovation Solution
A method that determines user preferences and dynamically manipulates images in the leadspace by ranking and mapping categorized elements, selecting display characteristics based on user profiles, and rendering images accordingly to provide a personalized experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single image is used for all users, then device complexity is reduced, but user engagement becomes inconsistent
Solution Approach 1:
The patent applies dynamics by transforming static images into dynamically adjustable visual content. The system dynamically modifies image characteristics (cropping, zooming, panning, filtering) based on real-time user preferences and behavior data, allowing a single image asset to adapt to different user segments without requiring multiple static images for each user type.
Solution Approach 2:
The patent implements parameter changes by modifying image display parameters (crop regions, zoom levels, pan positions, filter applications) based on user profile attributes. The system changes these visual parameters dynamically serving different user segments, thereby maintaining engagement consistency without increasing the number of base image assets.
2Reliability
If multiple images are used to tailor user experience, then user engagement is improved, but costs increase
Solution Approach 1:
The patent applies universality by designing a single image asset to serve multiple user segments simultaneously. Through dynamic parameter adjustment (cropping, zooming, filtering), one universal image performs the function of what would traditionally require multiple specialized images for different user types, thereby reducing the total quantity of image assets needed.
Solution Approach 2:
The patent reduces image quantity by changing display parameters of a single base image rather than creating multiple variant images. By dynamically adjusting crop regions, zoom levels, and filters based on user preferences, the system achieves personalized experiences with fewer underlying image assets.
3Ease of operation
If technical parameters alone are used for image display, then ease of operation is maintained, but user personalization is lost
Solution Approach 1:
The patent implements self-service by enabling the image display system to automatically adapt to user preferences without manual intervention. The system self-adjusts image parameters (cropping, zooming, filtering) based on user profile data and behavior patterns, maintaining operational simplicity while achieving personalization through automated decision-making algorithms.
Solution Approach 2:
The patent incorporates feedback mechanisms by utilizing user behavior data and preference information to continuously optimize image display parameters. The system receives feedback from user interactions and adjusts image characteristics accordingly, creating a personalized experience while maintaining ease of operation through automated feedback-driven adjustments.
Data Source
AI summary
A method, a computer program product, and a computer system render an image included in requested data based on determined user preferences. The method includes determining elements in a preselected image designed to be included on a webpage that is being requested from a user utilizing a device configured to show the webpage. Each of the elements corresponds to a topic. The method incudes determining preferences associated with the user, the preferences indicative of topics of interest associated with the user. The method includes generating a modified version of the preselected image based on the elements and the preferences. The webpage is loaded on the device with the modified version of the preselected image being rendered.