Personalized Audio Delivery via Behavior Profile Ranking
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Solution Overview
Problem
Users face challenges in receiving personalized audio content over the Internet, as existing methods either require passive selection from broadcasters or active searching, lacking a balance between tailored programming and user convenience.
Innovation Solution
A method and apparatus that utilize user profiles, combining declared preferences and behavior analysis to rank and select media files, including audio content, for personalized delivery over a packet-switched network, allowing for customized content based on user interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If broadcasters provide programming to users, then users receive content with little effort, but users cannot receive programming uniquely tailored to their interests
Solution Approach 1:
The system automatically monitors user online activity and generates behavior profiles without requiring explicit user input. The ranking system then autonomously selects and provides customized media files based on these profiles, allowing the system to serve itself in creating personalized content delivery.
Solution Approach 2:
The system monitors user online activity as feedback and uses this information to continuously refine behavior profiles. This feedback loop enables the system to adapt content rankings to evolving user interests, balancing automated content provision with personalized selection.
2Adaptability or versatility
If Internet content providers do not select programming for users, then users can search for any particular content, but users must actively search rather than receiving curated content
Solution Approach 1:
The behavior profile acts as an intermediary between user activity and content selection. The ranking system uses this intermediary to translate monitored user behavior into automated content recommendations, bridging the gap between passive monitoring and active content delivery.
Solution Approach 2:
The system performs preliminary ranking of media files based on user behavior profiles before users need to search. By pre-organizing content according to predicted user interests, the system reduces the need for active searching while maintaining content flexibility.
3Adaptability or versatility
If the system monitors user online activity to determine interests, then content can be tailored to user preferences, but system complexity increases
Solution Approach 1:
The system automatically monitors user activity and generates behavior profiles without requiring explicit user input or complex manual configuration. This self-service approach to profile creation reduces system complexity while maintaining high personalization capability.
Solution Approach 2:
The system uses parameter-based ranking of media files based on behavior profiles. By changing the ranking parameters dynamically based on monitored user behavior, the system achieves adaptability without requiring complex structural changes to the underlying architecture.
Data Source
AI summary
A method and apparatus is provided for providing selected media files, which are chosen from among a plurality of media files, to a user over a packet-switched network such as the Internet. The method begins by receiving over the packet-switched network a request from the user to receive media content. Next, a user profile associated with the user is retrieved from a database. The user profile reflects user preferences in media content to be received over the packet-switched network. The plurality of media files are ranked based at least in part on the user profile. At least one highly ranked media file is selected from among the ranked plurality of media files. At least one of the highly ranked media files is forwarded to the user over the packet-switched network.