Predictive Download Index for Multimedia Content

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Solution Overview

Problem

Social networks face challenges in efficiently distributing large multimedia files to users due to bandwidth and network connectivity issues, often resulting in low-quality streaming or unintended use of paid wireless networks.

Innovation Solution

A predictive download method that calculates a pre-download index for multimedia content items based on user behavior and network access patterns, ranking them for download during predicted times when a preferred network connection is available, and adjusting based on user interaction and network usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If files are provided to users through network data transfer, then users can access social network features, but file distribution efficiency deteriorates when files are extensive in size

Engineering Contradiction:
Improvefile distribution efficiencyVSAvoidfile size
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The system performs preliminary actions by predicting when users are likely to access preferred network connections and pre-calculating pre-download indices for multimedia content items before the actual download occurs. This allows the system to prepare download lists in advance during optimal network conditions, improving file distribution efficiency for large files without compromising user access experience

Inventive Principle:
Principle #10Preliminary action

2Ease of operation

If users access social networks through network connections, then users can communicate and access content, but network resource consumption increases for large multimedia files

Engineering Contradiction:
Improveuser access capabilityVSAvoidnetwork resource consumption
Core Design Contradiction:
Ease of operationVSUse of energy by moving object

Solution Approach 1:

The system enables self-service by automatically predicting user behavior patterns and network connection preferences, then autonomously managing the download process without requiring user intervention. The system self-adjusts download timing and selection based on predicted user needs, reducing unnecessary network resource consumption while maintaining ease of access

Inventive Principle:
Principle #25Self-service

3Ease of operation

If multimedia content is streamed to users, then users can view content, but content quality deteriorates due to bandwidth constraints

Engineering Contradiction:
Improvecontent accessibilityVSAvoidcontent quality
Core Design Contradiction:
Ease of operationVSManufacturing precision

Solution Approach 1:

The system performs preliminary actions by predicting optimal download times when users have preferred network connections available. By pre-calculating pre-download indices and preparing content for download during these predicted optimal times, the system ensures high-quality content delivery without the bandwidth constraints that would otherwise force quality deterioration

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS9344876B2Systems and methods for predictive download
Publication Date: 2016.05.17 META PLATFORMS INC
  • US9344876B2 patent drawing
  • US9344876B2 patent drawing
  • US9344876B2 patent drawing

AI summary

A time a user of a client application is likely to access a preferred network connection is predicted. A pre-download index for one or more multimedia content items is calculated, where the pre-download index represents how likely the user is to interact with the one or more multimedia content items at approximately the predicted time. The indexed multimedia content items are ranked based on the pre-download index of each of the one or more multimedia content items. The ranked multimedia content items are provided to the client application at the predicted time.