Media Toolbar Aggregating User Consumption Data
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Solution Overview
Problem
Traditional network browsing applications lack the ability to effectively collect and utilize user-specific media consumption data to provide personalized content recommendations and advertisements, while also allowing secure sharing of media profiles with third parties.
Innovation Solution
A media toolbar and aggregated/distributed media ecosystem that collects user media consumption data from various media players, aggregates it, and uses this information to provide personalized content recommendations and advertisements, while allowing users to control media playback and share media profiles with consent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user media consumption data is collected and aggregated from multiple media players, then personalized content recommendations can be provided, but user privacy and data security concerns arise
Solution Approach 1:
The patent introduces a toolbar as an intermediary component that collects media consumption data from multiple media players and transmits it to a server. This intermediary layer enables centralized data aggregation while maintaining a structured interface between the user's local system and the remote server, facilitating personalized recommendations while managing privacy through controlled data transmission
Solution Approach 2:
The system implements feedback mechanisms where user media consumption data is collected, processed by the server to generate personalized content recommendations, and then transmitted back to the user. This closed-loop feedback system enables continuous improvement of recommendation quality based on actual user behavior patterns while maintaining user control over data sharing
2Loss of information
If media consumption information is transmitted to a server for processing, then aggregated media profiles can be created, but network bandwidth and server processing requirements increase
Solution Approach 1:
The patent extracts only the essential media consumption information needed for profile creation and transmits it to the server. By selectively extracting relevant data elements from the complete media consumption record, the system reduces the volume of data transmitted over the network while maintaining the accuracy and usefulness of the aggregated media profiles
Solution Approach 2:
The system segments the media consumption data into discrete, manageable information elements that can be efficiently transmitted and processed. This segmentation allows the server to handle multiple user profiles simultaneously with reduced processing overhead while maintaining comprehensive profile accuracy
3Ease of operation
If a toolbar is installed in the browser to control media players, then media playback control is enhanced, but browser complexity and potential security risks increase
Solution Approach 1:
The toolbar is designed as a universal interface that can control multiple different media player applications through standardized communication protocols. This multi-functional capability allows a single toolbar implementation to work across various media players without increasing browser complexity proportionally, as the toolbar handles diverse control requirements through unified methods
Data Source
AI summary
A method and network architecture through which user-specific media profile data can be made available to third parties. A browser is optionally enhanced to facilitate playback and control of one or more media players, thereby allowing the user to play content via the browser. As the user plays content in the browser or any of the media players, information is collected about the content and stored in a database. By monitoring all media-related interactions made by the user within the browser, the collected content information can encompass information from a wide range of sources. User-specific profile data is then determined based on the collected data and such user-specific profile data is made available to third parties. The user-specific profile data can be used, for example, for social networking purposes, and may also be used to drive advertisements or other content to the user.