Group Content Delivery System Using Consumer Profile Synthesis
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Solution Overview
Problem
With the increasing variety of media content, it becomes difficult for multiple consumers to find content that suits everyone's preferences, and manual setting of playback options is time-consuming and often incomplete, lacking flexibility to accommodate the preferences of all viewers.
Innovation Solution
A computer-implemented method that identifies consumers based on received identification information, determines their characteristics, and controls content delivery to media devices, generating a combined group characteristic to recommend suitable media assets and playback options dynamically, adapting to changes in the group configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual setting of playback options is used, then consumers can customize content according to personal preferences, but the process is time-consuming and often leads to incomplete configuration
Solution Approach 1:
The system automatically identifies consumers and configures playback options based on their characteristics without requiring manual intervention. The system serves itself by autonomously matching content to consumer preferences, eliminating the time-consuming manual configuration process while maintaining personalized playback settings.
Solution Approach 2:
Consumer characteristics are pre-configured and stored in advance in a data store. When content is delivered, the system retrieves these pre-stored characteristics and automatically applies appropriate playback options, eliminating the need for real-time manual configuration and reducing time loss.
2Loss of time
If pre-configured playback options are set for a particular consumer's device, then setup time is reduced, but the system lacks flexibility to accommodate preferences of multiple consumers watching together
Solution Approach 1:
The system dynamically adjusts playback options based on real-time identification of which consumers are present and their stored characteristics. When multiple consumers are detected, the system synthesizes their preferences and automatically configures appropriate playback settings, providing both time efficiency and adaptability to group viewing scenarios.
Solution Approach 2:
The playback configuration is made dynamic rather than static. The system continuously monitors consumer presence and automatically adapts playback options based on the current group composition, allowing the same device to serve different consumer configurations without manual reconfiguration.
3Quantity of substance
If the catalogue of available media assets grows larger, then more content choices are available, but it becomes more difficult to navigate and find appropriate content quickly
Solution Approach 1:
The system replaces manual mechanical navigation through content catalogs with an automated information processing system. The processor automatically queries consumer characteristics from the data store and matches them against the media asset catalogue, substituting manual browsing with automated digital matching based on consumer profiles.
Solution Approach 2:
Consumer characteristics stored in the data store serve as an intermediary between the consumer and the media asset catalogue. Instead of directly navigating the large catalogue, the system uses the intermediate consumer profile data to automatically filter and match appropriate content, simplifying the navigation process.
Data Source
AI summary
A computer implemented method of controlling delivery of content to one or more media consuming devices associated with a group of consumers, the method comprising: receiving identification information of each consumer of the group of consumers; identifying each consumer of the group of consumers based on the received identification information; querying a data store to determine characteristics of each of said identified consumers; and controlling the delivery of the content to at least one of said one or more media consuming devices based on the determined characteristics of at least one consumer of the group of consumers, wherein each consumer in the group has an association link with all other consumers in the group, and wherein the content which is delivered is delivered to all consumers in the group.