Network Set-Top Box Program Recommendation Method
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Solution Overview
Problem
Conventional set-top boxes primarily focus on receiving and processing image and audio signals, failing to meet users' evolving demands for enhanced interaction and improved experience, particularly in recommending and playing television programs based on viewing records.
Innovation Solution
A network set-top box with an operating method that selects and recommends television programs based on user viewing records by calculating scores from viewing times and durations, and prompts users with information about unwatched programs, using a combination of processing, prompting, and updating modules to enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If set-top box merely receives and processes image and audio signals, then device complexity is reduced, but user experience and adaptability deteriorate
Solution Approach 1:
The set-top box is transformed from a simple signal processing device to a multi-functional system that combines traditional signal reception with program recommendation capabilities. The recommendation module analyzes viewing records and actively recommends programs, adding intelligence and adaptability without completely redesigning the core signal processing functions.
Solution Approach 2:
A recommendation module is introduced as an intermediary component between the signal processing functions and the user. This module analyzes viewing records and generates program recommendations, serving as a bridge that enhances user experience without requiring fundamental changes to the underlying signal reception and processing mechanisms.
2Adaptability or versatility
If set-top box provides limited interactive services, then ease of operation is improved, but adaptability to user demands deteriorates
Solution Approach 1:
The system implements feedback by analyzing the user's viewing records and using this information to generate personalized program recommendations. The recommendation module continuously adapts to user preferences by processing historical viewing data, thereby improving adaptability while maintaining ease of operation through automatic, passive recommendation delivery.
3Adaptability or versatility
If set-top box actively recommends programs based on viewing records, then adaptability and user experience are improved, but device complexity increases
Solution Approach 1:
The set-top box functionality is segmented into distinct modules: a traditional signal processing module and a separate recommendation module. The recommendation module is further divided into sub-components including viewing record analysis and program recommendation generation. This segmentation allows the recommendation features to be added independently without complicating the core signal processing functions.
Data Source
AI summary
The present disclosure relates to the field of communication technology, and provides a network set-top box and its operating method. The operating method includes steps of selecting N types of television programs to be recommended to a user in accordance with a viewing record of the user; and after the set-top box is enabled by the user, determining from the N types of television programs M television programs not be played currently, and prompting the user for information about the M television programs. M and N are each an integer not less than 0.