Personalized Program List Generation via Preference Matching
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Solution Overview
Problem
The increasing number of available programs in broadcast systems makes it difficult for users to efficiently find intended programs, as existing systems struggle to match user preferences with available programs based on location and broadcast station information.
Innovation Solution
A program information processing system that includes a management server storing program meta-information and user preferences, allowing for the creation and display of personalized program lists based on user preferences, time, and location, using a terminal device connected via a communication network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of available programs is increased, then program diversity is improved, but program search difficulty increases
Solution Approach 1:
The system stores user preference information and uses it to automatically create personalized program lists. The server receives user feedback through preference registration and adjusts program recommendations accordingly, creating a closed-loop system that improves program discovery without requiring users to manually search through all available programs.
Solution Approach 2:
The system automatically generates personalized program lists based on stored user preferences without requiring active user intervention. The server autonomously retrieves programs matching user preferences and delivers them to terminals, allowing users to benefit from customized program selection without manual searching or filtering.
2Adaptability or versatility
If program list size is increased, then program selection variety is improved, but browsing time increases
Solution Approach 1:
The system extracts and highlights only the programs that match user preferences from the complete program catalog. Instead of presenting all available programs, the server identifies and retrieves specific programs based on stored preference information, delivering a filtered subset that eliminates irrelevant options and reduces browsing time.
Solution Approach 2:
The system changes the parameter of program list composition from comprehensive to personalized. By dynamically adjusting which programs are included based on user preference parameters, the system transforms the program list from a static complete catalog to a dynamic personalized selection, maintaining variety while reducing size.
3Measurement precision
If location information requirements are made more specific, then program accuracy is improved, but system flexibility decreases
Solution Approach 1:
The preference information storage section serves multiple functions: it stores location information, program type preferences, and other user preferences in a unified structure. This universal storage mechanism handles various types of preference data without requiring separate systems, maintaining both precision in program matching and flexibility in accommodating different user needs.
Data Source
AI summary
It is aimed at providing a program list that helps the audience to easily find an intended program. A program information management server creates a program list. The program information management server is provided with a user information storage section, a program meta information storage section, a program recommendation section, and a program list information creation section. The user information storage section stores user's preference information. The program meta information storage section stores meta information concerning a program. The program recommendation section references the program meta information storage section and retrieves a program recommended for the user based on the user's preference information. The program list information creation section 146 creates program list information containing, by preference, programs retrieved by the program recommendation section.