Content Object Translation for Cross-System Data Linking
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Solution Overview
Problem
In cloud platforms, features configured for one system are often not easily usable in another system due to training data discrepancies, leading to inaccurate or error-prone model utilization across different data management systems, such as CMS and ecommerce systems, which hampers efficient product-content linking and recommendation processes.
Innovation Solution
A first data management system generates a content object based on a content item and transmits it to a model associated with a second data management system, allowing the model to identify related data objects, which are then linked back to the content, without requiring reconfiguration of the model or significant processing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a model configured for one data management system is used to identify relationships in another data management system, then resource utilization is improved, but accuracy deteriorates due to training data discrepancies
Solution Approach 1:
The patent introduces an intermediary layer that translates data from the first data management system into a format compatible with the second system's model. This intermediary translation layer allows the model to process data from different systems without requiring reconfiguration, maintaining both resource efficiency and identification accuracy by bridging the gap between different data formats and model expectations.
2Adaptability or versatility
If features from one service are integrated into another service, then versatility is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal interface layer that enables features from different services (CRM, ecommerce, CMS) to interact through a common protocol. This universal interface allows the same model to serve multiple services without requiring service-specific configurations, thereby improving versatility while containing integration complexity through standardization.
3Measurement precision
If a model is reconfigured for each data management system, then accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary data transformation and standardization before the model processing stage. By pre-processing the data from the first data management system into a standardized format that matches the second system's expectations, the model can operate without reconfiguration while maintaining accuracy. This preliminary action eliminates the need for time-consuming reconfiguration during operation.
Data Source
AI summary
A first data management system, which may be associated with a content management system (CMS), may receive an identifier for a content item. A content item may be an example of a picture, a blog post, an article, a video, an audio segment (e.g., a podcast) or other type of text or multimedia content. The first data management system may be configured to generate an object corresponding to the content item. The content object may be transmitted to a model corresponding to a second data management system. The model may be configured to identify relationships between data stored at the second data management system. The model may identify one or more data objects that are associated with the received content object, and return the data objects to the first data management system.