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 20240134904 titled 'SYSTEMS AND METHODS FOR GENERATING PERSONALIZED PLAYLISTS

Simplified Explanation: The patent application describes methods and devices for generating personalized playlists based on the user's media consumption habits.

**Key Features and Innovation:**

   * Obtaining information about recent media items presented to a user.
   * Grouping media items into clusters based on time of day and day of week.
   * Generating a recommendation vector using a weighted average of the clusters.
   * Creating a playlist for the user based on the recommendation vector.

**Potential Applications:**

   * Music streaming services.
   * Video streaming platforms.
   * Podcast recommendation apps.

**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:**

   * "Personalized Playlist Generation Technology for Media Platforms"
   * This technology can be utilized by streaming services to enhance user satisfaction and retention.

**Prior Art:**

   * No specific information provided.

**Frequently Updated Research:**

   * No specific information provided.

Questions about Personalized Playlist Generation Technology: 1. **How does this technology improve user engagement?**

  - This technology improves user engagement by providing personalized playlists tailored to individual preferences, increasing the likelihood of users interacting with the content.

2. **What are the potential challenges in implementing this technology on a large scale?**

  - Implementing this technology on a large scale may face challenges related to data processing, scalability, and ensuring accurate recommendations for a diverse user base.

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.