Digital Wallet Content Affinity Analysis System
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Solution Overview
Problem
Current systems fail to accurately determine content attributes and affinities for digital content purchased through digital wallets, limiting the ability to provide promotional content tailored to users' interests.
Innovation Solution
A content analysis computing device receives enrollment and transaction data, determines content attributes, and matches them to user affinities, selecting and presenting promotional content that aligns with these affinities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital wallet transaction data is collected and analyzed to determine content attributes and affinities, then promotional content delivery accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the complex data processing task into distinct components: a content analysis computing device that determines content attributes and affinities, and a separate promotional content delivery system that uses these determinations. This segmentation allows each component to specialize in specific functions, improving accuracy while managing overall system complexity through modular architecture.
Solution Approach 2:
The content analysis computing device serves as an intermediary between the digital wallet transaction data and the promotional content delivery system. It processes raw transaction data to extract meaningful content attributes and affinities, then provides this processed information to the promotional system, thereby improving delivery accuracy without requiring the promotional system itself to handle complex analysis.
2Loss of information
If content attributes are determined from transaction data, then promotional content relevance is improved, but data processing time increases
Solution Approach 1:
The system performs preliminary analysis by determining content attributes and affinities in advance of when promotional content is delivered. The content analysis computing device processes transaction data to establish user content profiles beforehand, so that when promotional content needs to be delivered, the matching process can occur quickly using pre-computed affinity data rather than analyzing raw transaction data in real-time.
Solution Approach 2:
The system creates simplified copies of user preferences in the form of content affinity scores and attribute profiles. Instead of re-analyzing complex transaction data each time promotional content is needed, the system uses these pre-computed affinity copies to quickly match promotional content with user interests, significantly reducing processing time while maintaining relevance.
Data Source
AI summary
A computer-based method for providing promotional content to a user based on attributes of digital content purchased by the user is provided. The method includes receiving enrollment data for a user in response to the user enrolling in a digital wallet application. The method further includes, storing the enrollment data, and receiving digital wallet transaction data as part of a digital wallet transaction for digital content, the digital wallet transaction initiated by the user using the digital wallet application. The method further includes determining at least one content attribute associated with the digital content, storing the at least one content attribute, determining, based at least in part on the at least one content attribute, a content affinity for the user, selecting promotional content that matches the content affinity, and causing the selected promotional content to be presented to the user.