Program Selection Adapting Preferences to Storage Duration
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Solution Overview
Problem
Existing systems for automatically selecting programs to be stored based on user preferences during extended periods of absence, such as vacations, often result in low-quality selections as they fail to adapt to changing user interests and available storage space effectively.
Innovation Solution
An apparatus and method that utilize a receiver for obtaining program schedule data, a timer to determine storage periods, a user preference module to adjust preferences based on the duration of absence, and a selection unit to choose program items using both regular and vacation user profiles, ensuring high-quality selections that consider user interests and storage capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If programs are selected using regular user preferences for long-term storage, then storage capacity is utilized, but program quality and relevance to user interests deteriorate
Solution Approach 1:
The system dynamically adapts user preferences based on the duration of absence. Different preference profiles are applied depending on whether the absence is short-term or long-term, allowing the program selection to evolve with the storage period rather than using static regular preferences for all scenarios
Solution Approach 2:
The system changes the selection parameters based on the absence period. For long-term storage, it switches from regular preferences to vacation preferences, fundamentally altering the criteria used to select programs for storage to ensure they remain relevant to user interests over extended periods
2Adaptability or versatility
If all favorite programs are stored during absence, then user viewing options are maximized, but storage space is wasted on irrelevant content
Solution Approach 1:
The system applies different selection criteria to different time periods. Instead of uniformly storing all favorite programs regardless of context, it selectively stores programs based on the specific absence duration, ensuring that each stored program has appropriate relevance quality for its intended viewing context
Solution Approach 2:
Rather than storing all favorite programs (excessive action), the system stores only the subset of programs that are truly relevant for the specific absence period (partial action). This selective approach avoids wasting storage space on content that the user will not watch during long absences
3Loss of information
If news programs and weather forecasts are stored for long periods, then information completeness is maintained, but user viewing time is wasted on outdated content
Solution Approach 1:
The system changes the selection parameters for news and weather programs based on the absence duration. For long-term storage, it excludes or de-prioritizes time-sensitive content like daily news and weather forecasts, as these would become outdated and irrelevant to the user's interests after extended periods
Data Source
AI summary
The invention relates to an apparatus for selecting at least one program item to be stored on the basis of user preferences. The apparatus comprises a receiver (110) for obtaining program schedule data related to at least one program item, and a timer (150) arranged to ascertain a period of time in which at least one program item is to be stored, a user preference module (130) arranged to obtain user preferences for at least one program item to be stored in the ascertained period of time, and a selection unit (140) arranged to select, using the program schedule data and the user preferences, at least one program item to be stored over a long period of time which is substantially longer than regular periods of nonusage of the apparatus. The invention takes into consideration that the user preferences for storing the program items may depend on the period of time in which the program items are to be selected.