Dynamic Broadcast Station Profiling for Preference-Matched Recommendations
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Solution Overview
Problem
Users face difficulties in finding content stations that play content they prefer due to self-defined categories not accurately reflecting the type of content played, which can change over time.
Innovation Solution
A system that receives broadcast data, determines changes in content, identifies characteristics such as genre, era, and mood, and generates a profile for content stations by updating a persona datastore, allowing for personalized content recommendations based on user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If self-defined categories are used to classify content stations, then the categorization process is simple and easy to implement, but the accuracy of content representation deteriorates because the categories do not reflect the actual content played
Solution Approach 1:
The patent introduces a third-party profiling system as an intermediary between content stations and users. This system automatically analyzes broadcast content and generates objective category profiles, serving as a mediator that provides accurate content representation without requiring content stations to manually define their own categories. The intermediary system uses content analysis to create reliable categorization that reflects actual content played.
Solution Approach 2:
The patent replaces the manual mechanical process of self-defined categorization with an automated content analysis system. Instead of relying on content station operators to manually classify their content, the system uses automated content recognition and analysis technologies to dynamically determine content categories, thereby improving accuracy while maintaining ease of implementation.
2Adaptability or versatility
If content station themes are allowed to change over time, then the content stations can adapt to user preferences and remain relevant, but the reliability of category information deteriorates because self-defined categories become outdated
Solution Approach 1:
The patent implements dynamic content profiling where category information is continuously updated based on real-time content analysis. The system automatically detects changes in content station themes and adjusts category profiles accordingly, ensuring that category information remains reliable and current. This dynamic approach allows content stations to adapt to changing user preferences while maintaining accurate category representation through automated monitoring and updates.
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture are disclosed for a broadcast profiling system. An example apparatus includes a memory storing instructions, and a processor configured to execute the instructions stored in the memory to compare a preference included in a user profile with a portion of a content station profile to determine whether the preference included in the user profile satisfies a threshold difference from the portion of the content station profile, in response to the threshold difference being satisfied, generate a station recommendation for a user associated with the user profile, and transmit an instruction to a device associated with the user, the instruction including the station recommendation, the instruction configured to cause a radio pre-set to be adjusted.