Amazon Technologies, Inc.

Jeffrey Paul Helbling

Alistair Robert Hamilton

Peter Thomas Killalea

Michael Schleif Pesce

Vikram Sathyanarayana Anbazhagan

Ozgur Dogan

Seth Gershom Goldstein

Brian Mitchell Percival

Otis Yeager Chandler

Russell C Grandinetti

Jayadev Vadakkanmarveettil

Patrick Ludvig Bajari

Jessica Kathleen Quinn Donaghy

Jeffrey L Belle

Dina Hilal

David Stewart Lane

Kelly Paulson

Danica Knievel

Melissa K Eamer

Deepak Kaushik

Ana Maria Mocanu

Jordan Evans

Rich Hanks

Techniques for providing notifications to user devices for the purpose of re-engaging users in content items they are consuming, such as electronic books, movies, videos, and the like. For instance, the techniques may calculate a frequency at which a user reads an electronic book. If the user does not request to read this electronic book for an abnormal amount of time, the techniques may provide a notification encouraging the user to again read the electronic book.

Content-item notifications

Gift card

This disclosure relates to systems and methods for managing product list subscriptions. In one embodiment, a method may be provided. The method may include determining, by a server comprising one or more processors, user profile information for a user, the user profile information indicating a book list to which the user is subscribed. The method may also include accessing the book list, wherein the book list comprises one or more book identifiers, a creator identifier for a creator of the book list, and a genre identifier. Furthermore, the method may include generating a recommendation for the user to purchase a book that that is classified by the genre identifier. Additionally, the method may include transmitting, to the user, the recommendation to purchase the book.

Systems and methods for managing product list subscriptions

Based on historical data describing product sales or other types of transactions, indicator scores may be calculated for users who have purchased, reviewed, or otherwise consumed products, the indicator scores based on subsequent diffusion of the products. Measured, current activities of the scored users with regard to another product may then be employed to develop a diffusion model that predicts the future sales of the other product over time. The diffusion model may be employed to determine product pricing, marketing, distribution, or acquisition.

Diffusion prediction based on indicator scoring

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Seattle, WA, United States of America

Jeffrey Paul Helbling