SYSTEMS AND METHODS FOR GENERATING PERSONALIZED PLAYLISTS

Organization Name

spotify ab

Inventor(s)

Colin Patrick Fahy of Brooklyn NY (US)

Leila Catherine Siddique of New York NY (US)

Christopher Ciollaro of Boston MA (US)

Matthew Budelman of Providence RI (US)

Mark Vanmiddlesworth of Cambridge MA (US)

Stanislav Chekalin of Brooklyn NY (US)

SYSTEMS AND METHODS FOR GENERATING PERSONALIZED PLAYLISTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240232255 titled 'SYSTEMS AND METHODS FOR GENERATING PERSONALIZED PLAYLISTS

The abstract of this patent application describes methods and devices for generating personalized playlists based on the user's media consumption habits.

Obtaining information about recent media items presented to a user, including the time of day and day of the week each item was presented.
Grouping the recent media items into clusters based on time of day and day of the week.
Generating a recommendation vector using a weighted average of the clusters.
Creating a playlist for the user by identifying media items using the recommendation vector.
Presenting the personalized playlist to the user.

Potential Applications: - Music streaming services - Video streaming platforms - Podcast platforms

Problems Solved: - Providing users with personalized content recommendations - Enhancing user experience by tailoring playlists to individual preferences

Benefits: - Increased user engagement - Improved user satisfaction - Enhanced content discovery

Commercial Applications: Title: Personalized Playlist Generation Technology for Media Platforms This technology can be utilized by music streaming services, video platforms, and podcast apps to enhance user experience and increase user engagement. By offering personalized playlists based on individual preferences, these platforms can improve content discovery and user satisfaction, ultimately leading to higher retention rates and increased revenue.

Questions about Personalized Playlist Generation Technology: 1. How does this technology improve user engagement on media platforms? 2. What are the potential challenges in implementing personalized playlist generation on a large scale?

Original Abstract Submitted

the various implementations described herein include methods and devices for generating personalized playlists. in one aspect, a method includes obtaining information about recent media items presented to a user, the information including data about a respective time of day and day of week each media item was presented to the user. the method further includes grouping the recent media items into clusters based on time of day and day of week; and generating a recommendation vector using a weighted average of the clusters. the method also includes generating a playlist for the user by identifying a plurality of media items using the recommendation vector; and presenting the playlist to the user.