Amazon Technologies, Inc.

Hewlett-packard Development Company, L.p.

Jason Christopher Hall

Toby Ray Latin-Stoermer

Brandon Scott Durham

Darren Levi Malek

Benjamin Lee Shepherd

John Max Kellum

David Paul Billmaier

Ralph Cameron Harvey

Jonathan Beech

Andrew McGoogan

Henry Hideyuki Yamamoto

Gabriela Ahern

Robert Richard Morse

Alexander Charles Barclay

Hari Gangadharan

Abhishek Mishra

Daren Gill

Kintan Dilipkumar Brahmbhatt

Daniel Paul Ryan

Benjamin La Schiazza

Geoffrey Mattei

Stephen Javier Zavaleta

Jane Meng

This disclosure is directed to a system and method that generates personalized recommendations of media items for customers based on a customer's preference for familiar or novel media items. A customer can be associated with user data that can include data such as a customer's purchase data, shopping data, etc. The user data can be used to determine media item data that is associated with the customer. Based on the customer's media item data, a familiarity score can be generated that indicates a media consumption preference of the customer. Using the familiarity score, a recommendation identifying a media item can be generated for the customer.

Personalized media recommendation system

Approaches provide for a voice communications device to control, refine, or otherwise manage the playback of media content in response to instructions, such as spoken instructions. For example, the voice communications device receives input data associated with a command, such as a request to begin media playback. Accounts corresponding to users associated with the command are identified and one or more refinements extracted from the input data are used to filter content, such as from respective content catalogs or via trained models associated with the users. Determined content is generated that includes content from each of the content catalogs or trained models associated with the users. Thereafter, the voice communications device can initiate media playback.

System and method for content playback

A computing device can periodically acquire a current track time for a media content item being played. The device can periodically compare the current track time with a respective start time and a respective end time for each line (or segment) in a plurality of lines of text (or segments of text) associated with the media content item. If the device determines that the current track time is between start and end times for a given line of text, then the device can display the given line of text. A user of the device can scroll through the lines of text associated with the media content item. If the user selects a particular line of text, the device can identify a start time for the selected line of text. The device can then play the media content item at the identified start time of the selected line of text.

Navigating media playback using scrollable text

A technology for synchronizing text with audio includes analyzing the audio to identify voice segments in the audio where a human voice is present and to identify non-voice segments in proximity to the voice segments. Segmented text associated with the audio, having text segments, may be identified and synchronized to the voice segments.

Text synchronization with audio

A server determines whether a the stored on a computing device matches a file stored on the server by comparing hash values for a first portion of the files. Based on the comparing, the server determines whether to upload the first portion of the file. The server uploads second portion of the file. The server generates the file for download by appending the first portion of the file stored on the server to the second portion of the file uploaded from the computing device.

File upload based on hash value comparison

Example embodiments disclosed herein relate to determining video to play based on audio. Videos associated with the audio are determined. One of the videos to play with the audio is determined based on analysis.

Determine video to play with audio

Growing community of inventors

Seattle, WA, United States of America

Jason Christopher Hall