Personalized Advertisement Generation via Facial Data Integration
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Solution Overview
Problem
Existing advertisements are not personalized to individual customers, leading to reduced effectiveness as they often rely on broad demographics, neglecting specific customer details that could enhance resonance.
Innovation Solution
The implementation of personalized advertisements that incorporate a customer's face and additional details such as hobbies, location, and disabilities, using telecommunications network operators to gather user data and create customized ads by replacing generic faces or backgrounds with the user's likeness, adjusting content for visual impairments, and integrating user-specific elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generic advertisements are used for all customers, then the advertisement creation process is simple and efficient, but the advertisement effectiveness and customer resonance are reduced
Solution Approach 1:
The system performs preliminary actions by automatically isolating customer faces from profile images and pre-processing this facial data for future advertisement personalization. This preliminary face isolation enables rapid deployment of personalized ads without manual intervention when advertisements need to be created or updated
Solution Approach 2:
The system creates personalized advertisements by generating copies of generic advertisement templates with customized elements. Specifically, it replaces generic faces in advertisement images with isolated customer faces, and can replace generic backgrounds with customer-specific backgrounds, thereby efficiently producing personalized versions without creating each ad from scratch
2Reliability
If personalized advertisements incorporating customer faces and details are created, then advertisement effectiveness and customer resonance are improved, but the complexity of advertisement creation increases
Solution Approach 1:
The system implements self-service by automatically isolating customer faces from their profile images without requiring manual intervention. The telecommunications network operator's system autonomously processes customer data, extracts facial features, and integrates them into personalized advertisements, eliminating the need for manual ad creation while achieving high personalization
Solution Approach 2:
The system uses an intermediary approach by leveraging the telecommunications network operator's existing customer profile data and infrastructure. The operator's system acts as an intermediary between raw customer data and personalized advertisement output, utilizing available customer information (faces, hobbies, location, disabilities) to bridge the gap between generic ads and personalized content without requiring direct manual processing
3Measurement precision
If customer data such as face, hobbies, location, and disabilities are collected and processed, then the personalization accuracy and customer resonance are enhanced, but the data processing requirements and system complexity increase
Solution Approach 1:
The system achieves multi-functionality by utilizing a single customer profile data repository for multiple personalization purposes. The same customer data infrastructure serves face isolation, background selection, hobby integration, location-based customization, and accessibility adjustments, thereby enhancing personalization accuracy without proportionally increasing system complexity through separate processing systems for each function
Data Source
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AI summary
This document describes techniques, apparatuses, and systems for a personalized set of images that are customized to a specific user using his/her likeness. The personalized set of images are presented as a personalized advertisement on a display that is determined to be visible to the user. The personalized set of images can be generated by a telecommunications network operator to which the user is subscribed. An image of the user is retrieved from a user profile associated with the user by the telecommunications network operator. The user's face can be isolated from the image and included within the personalized advertisement. As a result, the personalized advertisement can better appeal to the user, which can increase the effectiveness and palatability of the advertisement.