Content Recording Recommendation System for Automatic Scheduling
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Solution Overview
Problem
Users face difficulty in selecting programs to record due to the vast number of channels and content options in traditional content providing systems, often resulting in missed content if not pre-scheduled for recording.
Innovation Solution
A system and method that generate recommendations for content recording based on an external recommendation list and most viewed programming lists, allowing for automatic recording without further user interaction by storing content on a user device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a user manually schedules content recording in a traditional content providing system, then the user can record specific programs, but the user may miss desired programs due to the difficulty of selecting programs from the vast number of channels and content options
Solution Approach 1:
The system enables automatic recording by having the recording device itself generate and act on recording decisions based on analyzed content data and user preferences, eliminating the need for manual program selection while ensuring desired content is captured
Solution Approach 2:
The system incorporates feedback mechanisms where user viewing habits and preferences are continuously analyzed to improve automatic recording recommendations, creating a loop that enhances both reliability and ease of operation over time
2Loss of information
If the system provides a comprehensive program guide with all channels and timeslots, then users have access to complete information, but it becomes difficult to decide on program selections due to the overwhelming number of options
Solution Approach 1:
The system extracts and highlights only the most relevant program information based on user preferences and viewing patterns, separating essential decision-making data from the overwhelming complete program guide while maintaining access to full information when needed
Solution Approach 2:
The system applies different levels of information presentation to different programs based on their relevance to the user, providing detailed information for high-priority programs and summarized or automated handling for lower-priority content
3Reliability
If the system requires user interaction for each recording decision, then recording accuracy is high, but time is lost due to manual scheduling requirements
Solution Approach 1:
The system performs preliminary analysis of content data, user preferences, and viewing patterns in advance to pre-determine recording decisions, so that when recording opportunities arise, the system can act immediately without requiring real-time user input
Data Source
AI summary
A system includes a viewer tracking module that determines a genre profile target representation based on program categories of watched events. A recommendation module determines a candidate program category representation for each program candidate of a plurality of program candidates from a plurality of program categories, compares the candidate program category representation for the plurality of candidates to the genre profile target representation, and determines a numerical value for each of the plurality of program candidates based on comparing. The system further includes a display displaying the program candidates ordered based of the numerical value for each.