Amazon Technologies, Inc.

David Allen Markley

Ethan Zane Evans

James Newton Adkins, Iii

Miguel Azancot Roque

Ameesh Paleja

Michael Anthony Frazzini

Christopher Lawrence Lavin

Aaron Curtis Rubenson

Eric Jason Brandwine

Mekka Chibuisi Okereke

Matthew M Luker

Paul Allan Ryder

Jason Shih Shen Chein

Alfred Yong-Hock Tan

Antonio Bianco

Benjamin David Gannon

Siddharth S Easwar

Christian L Adam

Ernist Robert Ramirez

Functionality is disclosed herein for using an interactive content service to provide content. A user may interact with the interactive content service to access interactive content, such as interactive fiction, interactive text adventure games, and other interactive content. A user may also use the interactive content to receive auditory output from applications configured to provide text-based content. The interactive content service maintains state information that identifies the current state of the interactive content. For example, before starting a particular interactive adventure game, the state identifies a beginning location within the interactive content. As the user interacts with the game, the interactive content service updates the state of the user within the game. In this way, when the user resumes playing the game, regardless of the computing device used to interact with the interactive content service, the interactive content service causes the correct portion of the interactive content to be presented.

Using audio input and output to interact with text-based interactive content

Methods and systems for receiving shouted-out user responses to broadcast entertainment content, and for determining the responsiveness of those responses in relation to the broadcast content. In particular, entertainment broadcasts can be accompanied by mark-up data that represents various events within a given broadcast, which can be compared to the shouted-out responses to determine their accuracy. For example, if a game show was broadcast and an individual started shouting out answers during the broadcast, embodiments disclosed herein could utilize a voice-controlled electronic device that captures the shouted-out answers and passes them on to a language processing system that determines whether they are correct by comparing the answers to the mark-up data. The voice-controlled electronic device can also 'listen' to background sounds to capture the broadcast of the entertainment content, and send that content to the language processing system, which can use that captured data to synchronize the actual broadcast with the analysis of the shouted-out answers to provide individuals with an immersive entertainment experience.

Interactive voice controlled entertainment

Disclosed are various embodiments for application monetization based on application fingerprinting and lifestyle fingerprinting. Application fingerprints are determined for multiple applications. A respective application fingerprint is generated based at least in part on a static analysis, a dynamic analysis, and a behavioral analysis, and is indicative of one or more features of an application. Lifestyle fingerprints are determined for multiple users. A respective lifestyle fingerprint is indicative of one or more preferences of a user. An action is implemented to market a selected application based at least in part on a correlation between the lifestyle fingerprints and a set of application fingerprints that are determined to be similar to the application fingerprint of the selected application.

Application monetization based on application and lifestyle fingerprinting

Disclosed are various embodiments that employ application fingerprinting and lifestyle fingerprinting, where each application fingerprint is associated with a corresponding application and is generated based at least in part on a static analysis and a dynamic analysis of the corresponding application. In one embodiment, an identification of an application is received, and a group of users are determined that have a preference for the application based at least in part on lifestyle fingerprint data and application fingerprint data. Correspondingly, a particular user is identified with a lifestyle fingerprint that is similar to lifestyle fingerprints of the group of users, whereby the particular application is transmitted to the particular user.

Application recommendations based on application and lifestyle fingerprinting

Disclosed are various embodiments for developing versions of applications based on application fingerprinting. For example, an application may be ported from one operating system platform to another, or an application may be modified to be compatible with a specific device. In one embodiment, an application fingerprint is received for an application. The application fingerprint may be generated based at least in part on a static analysis of the application and a dynamic analysis of the application. A device that is incompatible with the application based at least in part on the application fingerprint may be determined. A modification to the application to make the application compatible with the device may be determined.

Developing versions of applications based on application fingerprinting

The present disclosure involves selling virtual items for an application via electronic commerce systems. A catalog of virtual items is stored in a data store, where each of the virtual items relates to an interaction with an application. An electronic commerce system is provided that facilitates a purchase of one of the virtual items via a client device over a network, where the one of the virtual items is purchased in association with an application account associated with the application. The electronic commerce system also informs the application of the purchase of one of the virtual items to facilitate use of the purchased virtual item during interaction by a user with the application.

Facilitating the purchase of items associated with an application

In various embodiments, static, dynamic, and behavioral analyses may be performed on an application. A set of code fragments employed by the application may be determined. A set of device resources employed by the application may be determined. An application fingerprint is generated for the application and potentially malicious component and/or behaviors are identified. The application fingerprint encodes identifiers for the set of code fragments and identifiers for the set of device resources.

Analyzing security of applications

In various embodiments, static, dynamic, and behavioral analysis may be performed on an application. A set of software libraries or code fragments employed by the application may be determined. A set of device resources employed by the application may be determined. An application fingerprint is generated for the application. The application fingerprint encodes identifiers for the set of software libraries or code fragments and identifiers for the set of device resources.

Identifying relationships between applications

In various embodiments, static, dynamic, and behavioral analyzes may be performed on an application. A set of software libraries employed by the application may be determined. A set of device resources employed by the application may be determined. An application fingerprint is generated for the application. The application fingerprint encodes identifiers for the set of software libraries and identifiers for the set of device resources. Improvements can be recommended based upon an analysis of the application fingerprint.

Recommending improvements to and detecting defects within applications

Disclosed are various embodiments that employ application fingerprinting and lifestyle fingerprinting. Application fingerprints are received, where each application fingerprints is associated with a corresponding application and is generated based at least in part on a static analysis, a dynamic analysis, and a behavioral analysis of the corresponding application. A selection of an application is received. Applications that are similar to the selected application are determined by comparing a particular application fingerprint that is associated with the selected application with other application fingerprints. Users are determined based at least in part on lifestyle fingerprints. In one embodiment, such users may be invited to test the selected application.

Growing community of inventors

Bellevue, WA, United States of America

David Allen Markley