Media Recommendation Profiles for Short- and Long-Form Viewing
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Solution Overview
Problem
Current media guidance systems fail to account for the different preferences of users based on the length of media content they are consuming, often providing inefficient recommendations or advertisements that do not match the user's current viewing behavior.
Innovation Solution
A media guidance application that tracks user behavior separately during short-length and long-length media consumption periods, maintaining two profiles (short-media and long-media viewing profiles) to provide tailored recommendations based on the active profile.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single user profile is maintained for each user, then the system complexity is low, but the recommendation quality and relevance to current viewing behavior deteriorates
Solution Approach 1:
The patent segments the single user profile into multiple context-specific profiles (short-media profile and long-media profile). Each profile tracks user behavior separately based on the type of media being consumed, allowing recommendations to be tailored to the specific viewing context. This segmentation resolves the contradiction by accepting increased profile management complexity in exchange for significantly improved recommendation quality and relevance.
2Adaptability or versatility
If multiple user profiles are maintained based on location, then the adaptability to different contexts improves, but the system complexity increases
Solution Approach 1:
The patent applies local quality by making different parts of the profile system serve different functions based on the media consumption context. The short-media profile and long-media profile each have specialized behavior tracking optimized for their respective media types. This allows the system to be highly adaptive to different viewing contexts while keeping the complexity localized to specific profile types rather than requiring a completely complex multi-dimensional profile system.
3Ease of operation
If recommendations are provided based on a single user profile, then the ease of operation is high, but the relevance to current watching behavior deteriorates
Solution Approach 1:
The patent implements dynamics by making the profile selection automatic and context-dependent rather than static. The system dynamically determines which profile to use based on the current media being consumed, automatically switching between short-media and long-media profiles. This maintains ease of operation for the user while ensuring the most relevant profile is always active, preventing loss of current viewing behavior information.
Data Source
AI summary
Systems and methods are provided herein for providing recommendations to a user. A short-media viewing profile may be maintained for the user. The short-media viewing profile may be based on user's behavior while watching short-length media content. A long-media viewing profile may be maintained for the user. The long-media viewing profile may be based on user's behavior while watching long-length media content. In response to determining that the user is currently engaged in viewing short-length media content, a recommendation is provided to the user based on the short-media viewing profile. In response to determining that the user is currently engaged in viewing long-length media content, a recommendation is provided to the user based on the long-media viewing profile.