Social-Driven Playlist Generation with User Taste Balancing

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Solution Overview

Problem

Existing media item recommendation systems prioritize social network influence over user relevance, resulting in irrelevant song suggestions.

Innovation Solution

A system that generates personalized playlists by considering both user listening history and social network connections, refining songs based on listening history and affinity scores to create a customized playlist.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the system displays songs based on social network influence, then social connectivity is improved, but song relevance to the user deteriorates

Engineering Contradiction:
Improvesocial connectivityVSAvoidsong relevance
Core Design Contradiction:
Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The system changes the parameters for song selection by introducing weighted scoring mechanisms that balance social influence factors with user-specific listening history and taste profile parameters, rather than relying on a single social network metric

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The song recommendation approach uses a composite evaluation model that combines multiple data sources (social network data, listening history, taste profile) with different weights to create a comprehensive song relevance assessment

Inventive Principle:
Principle #40Composite materials

2Adaptability or versatility

If the system generates playlists from all friend accounts, then social coverage is improved, but processing resources deteriorate

Engineering Contradiction:
Improvesocial coverageVSAvoidprocessing resources
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the social network into friend accounts and processes them in manageable groups by obtaining songs from each friend account individually and then integrating the results, rather than processing all friends simultaneously as a monolithic task

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system obtains songs from friend accounts but then selectively processes only the relevant portion of those songs based on listening history and taste profile, avoiding unnecessary processing of all songs from all friends

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS12411650B2Generating a customized social-driven playlist
Publication Date: 2025.09.09 APPLE INC
  • US12411650B2 patent drawing
  • US12411650B2 patent drawing
  • US12411650B2 patent drawing

AI summary

Generating a customized playlist may include identifying a user account for which a playlist is to be generated, where the user account is associated with a user listening history, a taste profile, and a social profile, identifying one or more friend accounts linked to the user account based on the social profile, obtaining an indication of a plurality of songs associated with one or more of the friend accounts, determining a listening history for the one or more plurality of songs based on the friend accounts, obtaining a subset of the plurality of songs based on the listening history of the plurality of songs, and generating a playlist from the subset of the plurality of songs.