Amazon Technologies, Inc.

Rovi Guides, Inc.

United Video Properties, Inc.

Coaxsys, Inc.

Adam Edward Powers

Walter Richard Klappert

Michael R Nichols

Michael Papish

Ka Chun Wong

Matthew Michael Sommer

Brendan Cruz Colon

Brian M Riegel

Joseph P Preschutti

Christopher Miller

David P Koller

Jason L Thalken

Alexander Noble Adkins

Dennis Naylor Brown

Manraj Tatla

Michael Chad McClure

Lev Ufimtsev

Dorion Carroll

Joel Booker

Michael Alexander Cecil

Diana Keller

Samantha Felice

Brendan Cruz Colón

John Morelli

Lance Dennis Leishman

Ellwood D Nonnemocher

Devices and techniques are generally described for detection of fraud in text. In various examples, ground truth text data comprising a plurality of first transcripts related to fraudulent activity may be received. In some examples, a respective first data representation of each transcript of the plurality of first transcripts may be generated. Unlabeled text data including a plurality of second transcripts may be received. Second data representations of each transcript of the plurality of second transcripts may be generated. A plurality of clusters may be determined. A number of nearest neighbors that are associated with the plurality of first transcripts related to fraudulent activity may be determined for a first instance of the second data representations. A determination may be made that the first instance of the second data representations corresponds to a transcript related to fraudulent activity.

Fraud detection in text

Devices and techniques are generally described for anomalous computer activity detection. In various examples, first computer activity data associated with a first account may be determined. A first linear detection event that corresponds to the first computer activity data may be determined. In some examples, a set of gradient-based data associated with the first linear detection event may be determined. The set of gradient-based data may represent comparative analysis of the first computer activity data with computer activity data of other accounts. In some examples, first data representing the first linear detection event and the set of gradient-based data may be generated. In various cases, network access for the first account may be disabled based on the first data.

Anomalous computer activity detection and prevention

Devices and techniques are generally described for fraud detection. In various examples, a first plurality of requests are received over a first time period. In at least some examples, the first plurality of requests may be requests to access a first service. A hierarchical data representation comprising an ordered set of values may be determined for each request of the first plurality of requests. A first subset of the first plurality of requests may be determined. The hierarchical data representation associated with each request of the first subset may include fewer than a threshold number of value substitutions relative to each other hierarchical data representation of the first subset of the first plurality of requests. Access to the first service may be prevented by subsequent requests associated with the first subset of the first plurality of requests.

Detection of adversarial networks

Systems and methods for presenting user-generated content in as easily accessible manner using an interactive media guide are provided. In particular, a user may be able to peruse user-generated content through an interactive media guide which is also used to access non-user-generated media content such as linear programming (e.g., over-the-air broadcast, cable, and satellite scheduled programming) and on-demand media. The interactive media guide may include a provider of user-generated content populated with user-generated content according to the user's interests or most recently added to the provider.

Systems and methods for generating a user profile based customized display that includes user-generated and non-user-generated content

Systems and methods for presenting user-generated content in an easily accessible manner using an interactive media guide are provided. In particular, a user may be able to peruse user-generated content through an interactive media guide which is also used to access non-user-generated media content such as linear programming (e.g., over-the-air broadcast, cable, and satellite scheduled programming) and on-demand media. The interactive media guide may include a provider of user-generated content populated with user-generated content according to the user's interests or most recently added to the provider.

Systems and methods for generating a user profile based customized media guide with user-generated content and non-user-generated content

The present invention includes installing a computer network () in a building () by coupling together a hub () and a number of network adapters () together with previously installed cabling. Data signals are transmitted from the adapters () to the hub () within a first frequency range and converted to frequency-converted data signals within a second frequency range for transmission back to the adapters (). The network () interfaces to an ethernet bus () through each of the adapters ().

Networking methods and apparatus

Growing community of inventors

Dublin, CA, United States of America

Adam Edward Powers