Apple Inc.

Arvind S Shenoy

Thomas M Alsina

Paul C Irvine

Nicholas James Paulson

Mark Hilary Levy

Daniel Cartoon

Jeffrey L Robbin

David T Wilson

Kenley Sun

Sagar A Joshi

Cody D Jorgensen

Matthias Mauch

Matthew J Laine

Zachary T Friedland

Priyo Mustafi

Drew Rocky Domm

Payam Mirrashidi

Andrew M Wadycki

Fredric R Vinna

Uli M Schöberl

Garrick McFarlane

Pierre De Lastic

Neale Patton

Venkat Kranthi Chalasani

Ketankumar B Patel

Taylor Gerard Carrigan

David Heller

Christopher John Sanders

James David Batson

Patrice Olivier Gautier

Gregory R Chapman

Edward T Schmidt

Matthew Joseph Cielak

Szu-Wen Huang

Amandeep S Jawa

Alexander Benton Grossman

Benjamin B Bours

Tiffany Shelton Reese

Agnes Won

Erik Lindholm

Sebastien P Sahuc

Simon Goldrei

Evan Mills

Christopher Laurence Bell

Eric R Seshens

Eva Hohei Mok

John Andrew McCulloh

Renée Ross

Jayesh Krishnan

Chelina Vargas

George D Bottas

Jan Markus Harrie Van Balen

David J Davis

Jason M Hess

Michael Zarcone

Phillip A Vasquez

Bekir B Dundar

Denise L Chen

The present technology pertains to automatically context labeling media items with relevant contexts, and further for algorithmically generating high quality playlists built around a context that are personalized to a profile of an account. This is accomplished by combining data from observed playlists, and data representing intrinsic properties of media items to predict contexts for media items.

Automatically predicting relevant contexts for media items

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.

Generating a customized social-driven playlist

The present disclosure relates to synchronized sharing of playlists from a source client device to a listening client device. To facilitate synchronized sharing, a current playlist of one or more tracks of digital content is obtained from the source client device. A current playback location within the currently playing playlist is also obtained from the source client device. A shared queue accessible by the listener client device is generated. Further, a shared queue context for the listener client device is identified based in part upon the current playback location. This enables the listener client device to start playback synchronized with the source client device.

Synchronized shared playlists

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for uploading, by a verified party, verified-party content to a media platform, receiving requests by a client device for store content, and displaying the uploaded verified-party content along with store content on the client device.

Verified-party content

The content items presented to a user account as part of a media station can be recorded in a content history index, which can be requested and presented to the user account. The content history can enable a user to revisit the content items included in the content history and/or provide feedback regarding the content items. The version of the content item returned to the user can be based on the client device used to request the content item. For example, a user that was presented a content item on their mobile device, can later request to revisit the content item on their PC and receive a version of the content item best suited for presentation by the PC, rather than the version presented on the mobile device.

Revisiting content history

A content management system and/or client device can enable a user to initiate a quick play mode where a content category and content medium are selected for the user. A client device and/or a content management system can select a content medium for a user based on one or more factors, such as the content category. Certain content categories of content can be preferably delivered in certain content mediums. In some embodiments, a content management system and/or client device can select a content medium for a user based on contextual data gathered from the user. Contextual data can be data describing the user's current state and/or environment. For example, contextual data can include data such as the time of day, geographic location, etc.

Automated content medium selection

In some embodiments, an electronic device receives, via one or more input devices, an input corresponding to a request to display a user interface associated with a first respective content mix, wherein the first respective content mix is associated with a first respective time period. In some embodiments in response to receiving the input corresponding to the request to display the user interface associated with the first respective content mix, the electronic device displays, via a display, the user interface. In some embodiments, the user interface includes a plurality of representations of content items including visual indications of amounts of consumption, of a first consumption metric type, by a user during the first respective time period, and a plurality of representations of content creators including visual indications of consumption, of a second consumption metric type, by the user during the first respective time period.

User interfaces for time period-based curated playlists

The present technology pertains to steering a playlisting service toward media items that are likely to receive positive feedback from a user operating a client device. The present technology permits a request to play media items without requiring an input context. A playlist service can begin to receive feedback on the playback of the media items and the received playback can be utilized by a steering service in response to a steering request to identify media items for playback that are likely to receive positive feedback based on the feedback received on a sequence of previously played media items.

Steering for unstructured media stations

In some implementations, a computing system can reduce startup delays for presenting remote media items. For example, when a user requests media content from a media service, the computing system can include information about the first media item to be played in the initial startup messages to reduce the number of roundtrips needed between client and server devices to present the first media item. A media item can include an introductory asset. The introductory asset can be a portion of the full media item that can be decrypted with a local key or not encrypted at all so that a media client can receive and start presenting the introductory media asset quickly while the full media item is being processed by the media client. In some implementations, the system can remove leading silence from the media item so that the amount of delay perceived by the user is reduced.

Reducing startup delays for presenting remote media items

Growing community of inventors

San Jose, CA, United States of America

Arvind S Shenoy