Personalized Audio Content Acquisition via Popularity-Based Streaming
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Solution Overview
Problem
Radio stations broadcast the same content to multiple listeners, failing to cater to individual interests, resulting in unappealing media for listeners with diverse preferences.
Innovation Solution
A system comprising a server and client devices that determine user attributes to generate personalized news programs by requesting and streaming media content, including recorded voice data for popular news stories, to provide tailored audible content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If radio stations broadcast the same audible content to multiple listeners, then production and distribution efficiency is improved, but adaptability to individual listener interests deteriorates
Solution Approach 1:
The patent segments the broadcast audience into individual listeners with unique profiles and segments the content into personalized playlists. Each listener receives customized audible content based on their individual attributes, transforming the monolithic broadcast into multiple tailored streams while maintaining efficient content production through centralized processing.
Solution Approach 2:
The system applies local quality by customizing content characteristics for each individual listener based on their specific attributes and preferences. Each listener receives locally optimized audible content (different stories, topics, and presentations) while the overall system maintains efficient centralized content production and distribution infrastructure.
2Adaptability or versatility
If personalized content is generated for each listener, then adaptability to individual interests is improved, but device complexity and content acquisition requirements deteriorate
Solution Approach 1:
The patent introduces a centralized server as an intermediary between content sources and individual listeners. This server handles the complex tasks of content acquisition, popularity determination, and personalization logic, while individual client devices only need basic receiving capabilities. This mediator approach reduces the complexity burden on end devices while enabling sophisticated personalization.
Solution Approach 2:
The centralized server performs multiple functions including content acquisition, popularity analysis, personalization processing, and distribution coordination. This multi-functional approach consolidates complexity into a single universal platform while keeping individual listener devices simple, achieving personalization without proportionally increasing device complexity.
3Adaptability or versatility
If real-time content adaptation is implemented, then user satisfaction is improved, but loss of time in content acquisition and processing deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-determining content popularity and pre-acquiring audio representations of popular content before listeners actually need it. The server continuously monitors content popularity metrics and proactively acquires audio versions of popular stories, so when a listener requests personalized content, the adaptation can occur rapidly without significant delays.
Solution Approach 2:
The patent implements continuous monitoring of content popularity metrics and ongoing acquisition of audio representations. This continuous operation ensures that the system is always ready to provide real-time personalization without interruption or delay, maintaining useful action throughout the content acquisition and adaptation process.
Data Source
AI summary
A personalized news service provides personalized news programs for its users by generating personalized combinations of audible versions of news stories derived from text-based versions of the news stories. The audible versions may be generated from the text-based version by a text-to-speech system, or may by recording a person reading aloud the text-based version. To acquire recordings, the personalized news service can make a determination that a particular news story has a threshold extent of popularity. The news service can then transmit a request to a remote recording station for a recording of a verbal reading of the particular news story. The news service can then receive the requested recording from the remote recording station.