TV Viewing History Sync for Cross-Device Live Channel Continuity
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Solution Overview
Problem
Conventional channel services on TVs and OTT services on mobile devices operate independently, lacking a mechanism to cache and utilize viewing history for continuous content display across devices.
Innovation Solution
A system and method for transmitting viewing information from a TV to a backend server, mapping user accounts, and enabling continuous content display on a mobile device by storing and managing channel information in a database, allowing seamless switching and personalized recommendations based on current and end times of live broadcasts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If TV channel services and mobile OTT services operate independently, then each service can be provided and operated separately, but viewing history cannot be cached and utilized across devices for continuous content display
Solution Approach 1:
A server acts as an intermediary between TV and mobile device, receiving viewing history information from the TV, storing it in a database, and providing it to the mobile device to enable continuous content display across different devices
Solution Approach 2:
The system adds a central server dimension to connect TV and mobile device services, transforming the independent operation model into an integrated multi-device ecosystem through centralized data management
2Adaptability or versatility
If viewing history is cached and managed in a server, then continuous viewing across devices is enabled, but system complexity increases
Solution Approach 1:
The server serves as a mediating component that handles all data transmission and processing between TV and mobile device, allowing each endpoint device to remain relatively simple while the centralized system manages complexity
3Ease of operation
If channel information is transmitted to server and stored as big data, then personalized services can be provided, but data management requirements increase
Solution Approach 1:
The system automatically transmits viewing history information to the server and retrieves it for personalized recommendations without requiring manual user input or intervention, enabling self-service operation
Solution Approach 2:
The system uses viewing history data as feedback to generate personalized content recommendations, creating a closed-loop system that continuously learns from user behavior and improves service relevance
Data Source
AI summary
A television controlled by a remote control, according to one embodiment of the present invention, comprises: an IR receiver for receiving a power-on signal from a remote control; a transceiver for wirelessly communicating with a server, a display for outputting random video data; and a controller for controlling the IR receiver, the transceiver and the display.


