Multicast Content Delivery via Client-Side Preference Filtering
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Solution Overview
Problem
Current media distribution systems, particularly multicast technologies, face inefficiencies in delivering personalized content to multiple recipients due to their inability to effectively address narrow-interest content delivery, leading to resource-intensive network usage and limited scalability.
Innovation Solution
The system uses metadata-based content descriptors and user-specific personalized preference descriptors to select and process content on wireless devices, allowing for efficient delivery of content relevant to individual user interests through a multicast mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If multicast technology is used to deliver content to multiple recipients, then network resource consumption is reduced and scalability is improved, but the ability to deliver personalized content to individual users deteriorates
Solution Approach 1:
The patent segments the content delivery process into two stages: (1) multicast distribution of content to multiple recipients simultaneously, and (2) selective filtering and processing of content based on individual user preferences at the receiving end. This allows the system to maintain the efficiency of multicast while enabling personalization through client-side segmentation of content based on user profiles and preferences.
Solution Approach 2:
The patent introduces user preference descriptors and content descriptors as intermediary elements that mediate between the multicast content and individual user requirements. These descriptors act as filters that translate the general multicast content into personalized content selections for each user, resolving the contradiction between efficient multicast delivery and personalized content delivery.
2Adaptability or versatility
If unicast system is used to deliver content to one recipient at a time, then personalized content delivery is achieved, but network resource consumption increases and scalability deteriorates
Solution Approach 1:
The patent merges the advantages of unicast (personalization) and multicast (efficiency) by combining multicast content distribution with selective unicast-like filtering at the client end. Multiple users receive the same multicast content simultaneously, but each user's device selectively processes and delivers only the content relevant to their preferences, achieving both efficiency and personalization.
3Productivity
If content is selected based on group user characteristics in multicast, then content delivery efficiency is improved, but content relevance to individual users deteriorates
Solution Approach 1:
The patent applies local quality by transitioning from group-level content selection to individual-user-level content selection. Each user's device uses their specific preference descriptors to filter and select content from the multicast stream, ensuring that the content received by each user is highly relevant to their individual interests rather than being based on general group characteristics.
Data Source
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AI summary
Apparatus and methods include the distribution of a plurality of content, at least one of which is tagged with descriptive metadata. Further, the apparatus and methods include selecting content from the plurality of content based on a match between a personalized content preference descriptor stored on the device and the tagged content. Thus, the selected content represents content likely to be applicable or relevant, and/or of interest, to the user associated with the personalized content preference descriptor.