T-mobile Usa, Inc.

Derrick Ives

Parag Kumar Garg

Michele Lundahl

Ovidiu Cristian Serban

Vanda Oliveira

Adriana Padilla

Samantha Klemm

Nicholas LaVassar

Homer Nicolas B Filart

Homer Nicolas Filart

George MacDonald

Helen Wang

Kathleen Foster

Nicholas Lavassar

George Macdonald

Parag Garg

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing a phone number list are disclosed. In one aspect, a method includes the actions of receiving, by a computing device, telephone call data that reflects characteristics of telephone calls placed and received by a first user. Based on the telephone call data, the actions further include generating, by the computing device, a first telephone number whitelist for the first user. The actions further include determining, by the computing device, whether to combine the first telephone number whitelist and a second telephone number whitelist for a second user. The actions further include storing, by the computing device, the first telephone number whitelist or the combined telephone number whitelist in association with the first user.

Phone number list management

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a spoofed telephone call identifier are disclosed. In one aspect, a method includes the actions of receiving, by a first computing device, data indicating a placement of a telephone call from a second computing device to a third computing device, wherein the data includes a phone number of the second computing device. The actions further include determining characteristics of the phone number of the second computing device. The actions further include, based on the characteristics of the phone number of the second computing device, determining a likelihood that the phone number of the second computing device is spoofed. The actions further include, based on the likelihood that the phone number of the second computing device is spoofed, determining whether to transmit a notification of the telephone call to the third computing device.

Spoofed telephone call identifier

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatically generating enhanced caller identification data are disclosed. In one aspect, a method includes the actions of receiving telephone call placement data that indicates the placement of a telephone call from a calling party to a called party. The actions further include receiving caller identification data. The actions further include accessing first telephone call data that reflects characteristics of telephone calls placed and received by the calling party. The actions further include based on the first telephone call data and the identity of the calling party, determining additional data to combine with the caller identification data. The actions further include generating enhanced caller identification data by combining the additional data with the caller identification data. The actions further include providing, for output, the enhanced caller identification data and data indicating the telephone call.

Automated generation of enhanced caller identification data

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a caller identifier are disclosed. In one aspect, a method includes the actions of receiving, by a server, a request to initiate a telephone call between a calling phone and a callee phone, wherein the request includes a telephone number of the calling phone. The actions further include determining, by the server, a name that corresponds to the telephone number. The actions further include accessing, by the server, a calling history that indicates previous telephone calls of the phone number. The actions further include, based on the calling history that indicates previous telephone calls of the phone number, determining, by the server, whether to generate a notification that includes the name that corresponds to the telephone number.

Caller identifier

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a spam telephone call reducer are disclosed. In one aspect, a method includes the actions of receiving first telephone call data that reflects telephone calls received by a first user and second telephone call data that reflects telephone calls received by a second user. The actions further include comparing the first telephone call data and the second telephone call data. The actions further include determining that the first user received more spam telephone calls than the second user. The actions further include determining a first characteristic of the first user and a second characteristic of the second user. The actions further include determining an action that increases a similarity of the first characteristic to the second characteristic. The actions further include performing the action on the first characteristic.

Spam telephone call reducer

The present disclosure describes techniques for determining whether a communication request is associated with a legitimate communication or spoof communication, prior to establishing the connection. A Parallel Path Caller Verification (PPCV) controller is described that is configured to intercept a communication request from an originating device and generate a proof-of-identity (PoI) message for delivery to the originating device. Upon receipt of a reply message that is responsive to the PoI message, the PPCV controller may determine whether the communication is a legitimate communication. If the communication is determined as legitimate, the PPCV controller may establish a communication based on the communication request.

Parallel path caller verification controller

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a caller identifier are disclosed. In one aspect, a method includes the actions of receiving, by a server and from a user of a computing device, data indicating a request to update a name that corresponds to a phone number in a caller identification information storage. The actions further include accessing, by the server, a calling history that indicates previous telephone calls of the phone number. The actions further include accessing, by the server, identification data of the user. The actions further include based on the calling history that indicates previous telephone calls of the phone number and the identification data of the user, determining whether to update the caller identification information storage to indicate that the name corresponds to the phone number.

Caller identification information analyzer

A call pattern associated with a telephone number of a subscriber of a wireless carrier network is monitored. The call pattern is then analyzed via a machine-learning algorithm to classify the subscriber into a subscriber classification category of multiple subscriber classification categories. A determination is made as to whether the subscriber classification category of the subscriber corresponds to a service plan type of a specific wireless service plan subscribed to by the subscriber for the telephone number. When the subscriber classification category fails to correspond to the plan type, an offer of an additional wireless service plan that corresponds to the subscriber classification category of the subscriber is sent to a user device of the subscriber. When the subscriber classification category corresponds to the service plan type, a caller category label is assigned to the subscriber that indicates the subscriber classification category of the subscriber.

Multi-channel caller ID database updates

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a telephone call screener are disclosed. In one aspect, a method includes the actions of receiving a telephone call. The actions further include determining characteristics of the telephone call. The actions further include, based on the characteristics of the telephone call, determining a level of screening to apply to the telephone call. The actions further include determining screening data based on screening the telephone call according to the level of screening. The actions further include providing, for output, the screening data.

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North Bend, WA, United States of America

Derrick Ives