Multimedia Broadcast System Optimizing Sales via User Behavior Feedback

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Solution Overview

Problem

Current multimedia broadcast systems lack the ability to effectively optimize content delivery based on user behavior, leading to suboptimal sales and user engagement, as they do not adequately utilize user data to tailor broadcasts and increase sales of specific multimedia items.

Innovation Solution

A multimedia broadcast system that processes user information, including buying and observing behavior, to select and broadcast content that optimizes sales, utilizing a processor, memory, and multimedia database to analyze user data and determine future content to be broadcast across various platforms like radio, Internet radio, and RSS feeds.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional broadcast systems transmit multimedia without analyzing user behavior, then the system complexity remains low, but user engagement and sales optimization are insufficient

Engineering Contradiction:

Improvesales optimizationVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system implements feedback by collecting user behavior data (buying patterns, observing behavior) and using this feedback to dynamically adjust future multimedia broadcast selections, creating a closed-loop system that continuously optimizes sales while managing complexity through automated data processing

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs self-service by automatically analyzing user behavior data and selecting future multimedia content without manual intervention, enabling the system to optimize sales independently while maintaining manageable complexity through automated decision-making algorithms

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If the system collects and processes detailed user behavior data, then content personalization and sales optimization improve, but data processing complexity and time requirements increase

Engineering Contradiction:

Improvecontent personalizationVSAvoiddata processing time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system applies preliminary action by collecting and storing user behavior data as it naturally occurs during normal system operation, preparing the data infrastructure in advance so that future content selection can be rapidly optimized without time-consuming data collection delays

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces manual or mechanical data processing with automated electronic data collection and analysis mechanisms, using computer-based systems to efficiently process user behavior data and generate content selections without human intervention or time-consuming manual analysis

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9854286B1Systems and methods for optimizing the broadcast of multimedia

Publication Date: 2017.12.26 SNAP ONE LLC

AI summary

A method for optimizing the broadcast of multimedia is described. Multimedia is broadcast to at least one multimedia user device. User information is received from the at least one multimedia user device. The user information relates to user behavior from the at least one multimedia user device. The user information is processed to select future multimedia to broadcast. The future multimedia is broadcast.