Schema Conversion for Cross-System Content Recommendations
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Solution Overview
Problem
Existing systems managing ticket purchase histories and event recommendations across different management systems are not adequately integrated, leading to inefficiencies in user convenience and seller operations.
Innovation Solution
An information processing device and method that converts content meta-information from multiple management systems into a common schema, allowing for comprehensive handling of purchase history data and personalized content recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content meta-information is managed by multiple different management systems with individual schemas, then each system can maintain its own data structure and management logic, but it becomes difficult to comprehensively handle purchase history information and determine accurate content recommendations across systems
Solution Approach 1:
The patent introduces a schema converting unit as an intermediary component that translates content meta-information from multiple different management system schemas into a unified common schema. This mediator enables comprehensive handling of purchase history information across systems without requiring direct integration between each individual system, thus resolving the contradiction by providing a centralized translation layer that maintains adaptability while reducing integration complexity
Solution Approach 2:
The patent creates a universal common schema that can accommodate content meta-information from multiple different management systems. This common schema serves as a multi-functional data structure that can represent various types of content (events, concerts, theaters, etc.) and their associated purchase histories in a unified manner, enabling the recommendation unit to process diverse data sources through a single standardized interface
2Measurement precision
If content meta-information is converted into a common schema, then comprehensive handling of purchase history information becomes possible, but additional conversion processes are required
Solution Approach 1:
The patent implements preliminary action by performing schema conversion in advance before the recommendation process. The schema converting unit pre-processes content meta-information from multiple management systems into the common schema, so that when the recommendation unit needs to access purchase history information, the data is already in the required format. This eliminates the need for real-time conversion during recommendation generation, improving accuracy while managing conversion complexity through pre-processing
Solution Approach 2:
The system enables self-service by having the schema converting unit automatically translate and standardize data from various management systems without manual intervention. The conversion process is automated and integrated into the existing data flow, allowing the system to maintain high recommendation accuracy through consistent schema application while minimizing the operational burden of data integration
Data Source
AI summary
To make it possible to enhance convenience for users and a seller of content. There is provided an information processing device including: a schema converting unit that converts content meta-information managed by a plurality of different management systems into a common schema; and a recommendation unit that determines a combination of content to be recommended and a user based on commonized content meta-information which is obtained by the conversion into the common schema and content purchase history information in the respective management systems.