Digital Content Popularity Scoring via Interaction Metrics

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Solution Overview

Problem

Current music ranking systems primarily rely on radio play and do not accurately reflect the popularity of digital music streamed over the internet, as they fail to account for listener interactions such as skipping or changing channels, which are not measurable in traditional broadcast media.

Innovation Solution

A system and method that score digital content based on user interactions, including likes, dislikes, skips, and changes in channels, by collecting data from user devices and using statistical measures to calculate a score that represents the popularity of content items, incorporating both initiation frequency and interaction metrics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If music ranking services focus only on radio play, then the ranking system is simple to implement, but it does not accurately reflect the popularity of streamed and pre-cached digital music

Engineering Contradiction:
Improveaccuracy of popularity measurementVSAvoidcomplexity of ranking system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the measurement of music popularity into multiple independent components: radio play counts, stream counts, pre-cache counts, and user interaction metrics (likes, dislikes, skips). Each component is measured separately and then integrated through a weighted scoring formula, allowing accurate measurement without overwhelming system complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The ranking system is designed to handle multiple types of digital music delivery (radio, streaming, pre-caching) and multiple user interaction types (plays, likes, dislikes, skips) through a single unified scoring mechanism. This multi-functional approach allows the system to accurately measure popularity across different platforms and interaction types without requiring separate ranking systems for each

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Loss of information

If radio rankings are based solely on DJ play selection, then the ranking system is easy to maintain, but it cannot detect whether users actually listen to songs, turn off the radio, or change channels

Engineering Contradiction:
Improveinformation about user listening behaviorVSAvoiddifficulty of measuring user interaction
Core Design Contradiction:
Loss of informationVSDifficulty of detecting and measuring

Solution Approach 1:

The patent implements feedback mechanisms where user interactions (plays, likes, dislikes, skips) are continuously collected and fed back to the ranking system. This feedback loop allows the system to detect and measure user listening behavior in real-time, adjusting rankings based on actual user engagement rather than just DJ selection

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent introduces an intermediary scoring mechanism that translates various user interactions (plays, likes, dislikes, skips) into a unified popularity score. This intermediary scoring system bridges the gap between raw interaction data and actionable ranking information, making it easier to detect and measure user behavior across different interaction types

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If the system collects multiple types of interaction data from user devices, then the popularity score becomes more accurate, but the data collection and processing complexity increases

Engineering Contradiction:
Improveprecision of content scoringVSAvoidcomplexity of data collection system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts specific interaction metrics (plays, likes, dislikes, skips) from the complex stream of user device data. By identifying and extracting only the relevant interaction types needed for scoring, the system achieves precise content scoring without the need to process every possible data point, reducing overall system complexity

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS10275463B2System and method for scoring and ranking digital content based on activity of network users
Publication Date: 2019.04.30 SLACKER
  • US10275463B2 patent drawing
  • US10275463B2 patent drawing
  • US10275463B2 patent drawing

AI summary

Systems and methods for delivering personalized content streams over a variety of devices and networks are disclosed. A user's preferences, customizations, and content are made available to the user through specialized clients for home, car, office, and portable environments. In order to enable personalized content streams on devices that are intermittently connected or that make use of network bandwidth during off-peak hours, the system prescribes a distributed content sequencing engine and a distributed, synchronized user profile and station/channel definitions. The system is also designed to support players connected via unidirectional or asymmetric connections such as satellite radios with or without an upstream data link.