Personalized TV Channel List via Multi-User Recording Data
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Solution Overview
Problem
Existing methods for creating favorite channels lists on TV systems only consider the viewing habits of a single user, failing to incorporate preferences from other users, which limits the personalization and relevance of the recommended channels.
Innovation Solution
A system that collects and analyzes program recording data from multiple users, including scheduled recordings, to dynamically create a favorite channels list that reflects popular programs across a community of users, using a network of televisions, a server, and a database to share and sort this data for personalized recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If favorite channels list is created by monitoring single user viewing habits, then the system complexity is low, but the personalization and relevance of recommended channels is insufficient
Solution Approach 1:
The patent merges viewing data from multiple users into a unified analysis system. The server collects PVR data from numerous users, combines this information, and processes it together to generate personalized favorite channel recommendations. This combining approach enhances personalization quality by leveraging collective viewing patterns while maintaining individualized output for each user.
Solution Approach 2:
The patent introduces a server as an intermediary component that mediates between multiple user devices and the database. The server collects PVR data from various users, performs centralized processing and analysis, and generates personalized recommendations. This intermediary architecture manages the complexity of multi-user data processing while enabling sophisticated personalization capabilities.
2Productivity
If only history based viewing data is used, then the data collection process is simple, but the ability to recommend popular programs before they are watched is limited
Solution Approach 1:
The patent applies preliminary action by analyzing PVR data including scheduled recordings and future programming information before users actually watch programs. The system identifies trending content and popular programs in advance, enabling recommendations to be made before users have viewed the content. This allows the system to predict and recommend popular programs proactively rather than reactively.
Solution Approach 2:
The patent makes the data collection system universal by accepting multiple types of PVR data including history-based recordings, scheduled recordings, and future programming data. This multi-functional data collection approach enables the system to process diverse data types uniformly, enhancing recommendation timeliness by leveraging both past viewing patterns and future programming information from all users.
Data Source
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AI summary
The present invention relates to a method enabling creating user custonnized favorite channels lists, and in its most basic form comprising the steps of starting recording of TV programs by the televisions (2) and/or activating a timer for a future recording; transmitting the server (3) the recording data of the programs recorded/will be recorded; transmitting the server (3) the list of stored channels on the users' televisions (2); the server (3) sorting the channels on which the recorded programs/programs to be recorded are displayed, according to the recording number of said programs; transmitting to the server (3) a favorite channels list request from at least one of the televisions (2) of the users; comparison of the channels sorted by the server (3), with the channels stored on the televisions (2) which have sent a favorite channels list request; creating a target user customized favorite channels list by removing the channels not stored on the televisions (2) which have sent a favorite channels list request, from the channels sorted by the server (3); and the server (3) transmitting the favorite channels list customized for the users from whose televisions (2) a favorite channels list request was sent.