Content Recommendation System Parallel Processing
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Solution Overview
Problem
Current e-commerce content recommendation systems limit external operations of merchants by requiring them to process configurations through the operation platform, which restricts their ability to manage and recommend content independently.
Innovation Solution
A content-recommendation method and system that allows both internal and external operation systems to configure and match content independently, using a recommendation system to search for and recommend content based on user tags, with the internal system providing first-type content and the external system providing second-type content, enabling parallel processing and improved resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the operation platform processes all external operation configurations, then the internal operation system can perform content matching, but the external operations of merchants are limited
Solution Approach 1:
The patent segments the operation system into two independent parts: an internal operation system and an external operation system. The external operation system can independently perform content matching and submit results to the recommendation system, while the internal operation system operates separately. This segmentation allows merchants to perform external operations independently without being constrained by the internal operation platform, thereby improving adaptability while maintaining manageable system complexity through clear functional separation.
2Quantity of substance
If the recommendation system uses only internally configured content, then the system structure remains simple, but the completeness of content for recommendation is reduced
Solution Approach 1:
The patent merges the content from two independent sources: the internal operation system and the external operation system. Both systems perform content matching independently and submit their results to the recommendation system, which combines these contents to form a comprehensive recommendation pool. This merging approach ensures content completeness by incorporating both internally and externally sourced content, while the independence of the two systems prevents excessive complexity in the overall structure.
3Productivity
If the operation platform sequentially processes internal and external operations, then the system structure remains simple, but the operation efficiency is reduced
Solution Approach 1:
The patent segments the operation processing into parallel independent streams: the internal operation system and the external operation system both perform content matching simultaneously rather than sequentially. This parallel processing capability significantly improves operation efficiency by utilizing multiple systems concurrently, while the clear functional segmentation maintains manageable system complexity through well-defined interfaces and independent operation of each system.
Data Source
AI summary
The disclosed embodiments relate to a content-recommendation method and apparatus, an electronic device, and a system. The method comprises: searching, by a recommendation system according to a determined tag, a content database for content matching the tag; and recommending, by the recommendation system, the matching content to a user corresponding to the tag. Content in the content database is determined according to first-type content acquired by an internal-operation system by means of matching and second-type content acquired by an external-operation system by means of matching.