Context-Based Service Recommendation via User Description Manager
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Solution Overview
Problem
Current recommendation systems for services, such as news and video services, often limit user choice by being independently built and controlled by service providers, preventing third-party competition and failing to provide personalized recommendations based on user context.
Innovation Solution
A context-based service technology that generates user profiles and characteristic information to provide personalized service recommendations using a user description, which includes usage history, preferences, and emotions, to a recommendation engine for tailored service suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a recommendation system is independently built through a service provider's interface, then the service provider can control the recommendation, but third party competition is prevented and user choice is limited
Solution Approach 1:
The patent introduces a user description manager as an intermediary component that sits between the user terminal and the recommendation engine. This manager handles user profile data, user description generation, and context information, allowing multiple service providers to access standardized user data through a common interface. This resolves the contradiction by maintaining service provider control through standardized protocols while enabling third-party competition through open access to user descriptions.
Solution Approach 2:
The system segments the recommendation functionality into separate modular components: user terminal, user description manager, recommendation engine, and service provider interface. This segmentation allows different entities to develop and control specific components independently, enabling third-party service providers to build their own recommendation systems using the standardized user description interface without compromising the overall system architecture.
2Ease of manufacture
If a recommendation system is independently built by a TV production company or TV program provider, then they can provide their intended recommendations, but users cannot receive recommendations from third parties
Solution Approach 1:
The user description manager implements a universal interface that can serve multiple service providers simultaneously. The standardized user profile and user description structures can be utilized by TV production companies, program providers, and third-party services alike. This allows each provider to implement their own recommendation logic while all accessing the same user data through a common standardized interface, thereby enhancing user choice without complicating implementation.
3Adaptability or versatility
If user profile and user profile characteristic information are collected and processed, then personalized service recommendations can be provided, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by collecting and organizing user profile information, user descriptions, and context data in advance through the user description manager. This pre-processing of user data into standardized formats reduces the complexity of personalized recommendation generation, as the recommendation engine receives ready-to-use structured information rather than having to process raw data from multiple sources.
Solution Approach 2:
The patent transforms complex user data into standardized parameters and structured formats through the user description manager. By converting diverse user profile information, preferences, and context data into uniform parameter structures, the system simplifies the recommendation process while maintaining personalization capabilities. The standardized parameter interface allows personalized recommendations without proportionally increasing system complexity.
Data Source
AI summary
A method of providing a context based service is performed by a user terminal. The method includes: generating a user profile about at least one entity; providing user profile characteristic information obtained or inferred from the user terminal associated with the at least one entity; and controlling to provide a user description generated based on the user profile and the user profile characteristic information to a recommendation engine for a required service if a recommendation of a context based service is required to the at least one entity, the recommendation engine performing a service recommendation according to a situation of the at least one entity.