Addressable Content Distribution Filtering Assets

Solution Overview

Problem

Current content distribution systems are inefficient due to the need to store and analyze large numbers of advertisements, leading to excessive read/write operations and limited scalability, as they broadcast all assets to receivers regardless of relevance, resulting in only a fraction being applicable to individual devices.

Innovation Solution

The system analyzes targeting data criteria before receiving content, identifying and storing only relevant assets, reducing read/write operations and memory usage by comparing received targeting data to stored data, allowing for improved scalability and relevance in content delivery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If all assets are broadcast to receivers, then complete content coverage is achieved, but memory usage and read/write operations increase excessively

Engineering Contradiction:

Improvenumber of assets storedVSAvoidread/write operations

Core Design Contradiction:

Quantity of substanceVSLoss of energy

Solution Approach 1:

The receiver performs preliminary filtering of assets based on targeting data criteria before storing them. By comparing asset metadata (geographic, demographic, viewing habit information) against stored user profiles in advance, the system determines which assets are relevant and should be stored, eliminating the need to store and process all broadcast assets.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system extracts only the relevant subset of assets from the complete broadcast stream that match the receiver's targeting criteria. This extraction process separates useful content (relevant assets) from unnecessary content (irrelevant assets), allowing the receiver to store only what is needed for its specific user demographic and viewing habits.

Inventive Principle:

Principle #2Taking out (Extraction)

2Quantity of substance

If all assets are stored at the receiver, then complete asset availability is achieved, but device memory requirements increase

Engineering Contradiction:

Improvenumber of assets storedVSAvoidmemory allocation

Core Design Contradiction:

Quantity of substanceVSVolume of stationary object

Solution Approach 1:

The receiver performs preliminary filtering of assets based on targeting data criteria before storing them. By comparing asset metadata (geographic, demographic, viewing habit information) against stored user profiles in advance, the system determines which assets are relevant and should be stored, eliminating the need to store and process all broadcast assets.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system extracts only the relevant subset of assets from the complete broadcast stream that match the receiver's targeting criteria. This extraction process separates useful content (relevant assets) from unnecessary content (irrelevant assets), allowing the receiver to store only what is needed for its specific user demographic and viewing habits.

Inventive Principle:

Principle #2Taking out (Extraction)

3Device complexity

If generalized targeting is used, then system complexity is reduced, but content relevance decreases

Engineering Contradiction:

Improvetargeting system complexityVSAvoidcontent targeting precision

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The system implements local quality by maintaining specific user profiles with detailed demographic, geographic, and viewing habit information at each receiver. This allows each device to have customized targeting criteria tailored to its users, enabling precise content matching without requiring complex centralized processing. The filtering logic is distributed to the edge devices where it is most needed.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS9877057B2Addressable content distribution systems and methods

Publication Date: 2018.01.23 DISH TECHNOLOGIES LLC

AI summary

Systems and methods for providing and receiving addressable content may include an electronic device for receiving the content. The electronic device may receive a first data stream including targeting data criteria for a plurality of assets at the electronic device. The electronic device may determine a subset of the plurality of assets for storage on the electronic device. The electronic device may also receive a second data stream including the plurality of assets. The electronic device may identify each asset of the subset of the plurality of assets within the second data stream, and may store each asset of the subset of the plurality of assets at the electronic device.