Facilitation of artificial intelligence predictions of telecommunications customers
AssigneeAT&T Intellectual Property I, L.P.
InventorVahid Tavassoli
Life of this patent
Estimating the term…
Abstract
Machine learning (ML) can be used to gather data on prospective customers from publicly available online sources. The ML can provide data on a likelihood of near future, customers and subscribers and a list of people with low interest in the company's products. The ML system can be recursively updated as new public data becomes available online. Thus, the ML system can be used to generate targeted advertising and root cause analysis based on a relationship between people's statuses and their respective interests in certain products and/or services.
Claims20
A method, comprising:
- labeling, by a server system comprising a processor, social media data, representative of statuses associated with a user identity, with type data representative of respective types of the statuses;
- matching, by the server system, first identity data representative of the user identity to second identity data representative of the user identity, wherein the first identity data is obtained from a first source, wherein the second identity data is obtained from a second source that is different from the first source, wherein the first identity data comprises a previous location associated with the user identity, and wherein the second identity data is determined to be representative of the previous location;
- generating, by the server system, prediction data, representative of a propensity of utilization of a service based on a credential associated with the user identity, based on the type data, the first identity data, and the second identity data;
- and
- in response to generating the prediction data, facilitating, by the server system, display of information associated with the prediction data at a display screen of a user equipment associated with the user identity.
A system, comprising:
- a processor;
- and
- a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
- labeling social media data, representative of statuses associated with a user identity, with type data representative of respective types of the statuses;
- matching first identity data representative of the user identity to second identity data representative of the user identity, wherein the first identity data is obtained via a first source and comprises a previous location associated with the user identity, and wherein the second identity data is obtained via a second source that is distinct from the first source and is determined to be representative of the previous location;
- generating prediction data, representative of a likelihood of utilization of a service in connection with the user identity, based on the type data, the first identity data, and the second identity data;
- and
- in response to generating the prediction data, facilitating display of information associated with the prediction data at a display screen of a user equipment associated with the user identity.
A non-transitory machine readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
- associating status data, representative of statuses associated with a user identity of a user subscribed to a social media account, with type data representative of respective types of the statuses;
- matching first identity data representative of the user identity to second identity data representative of the user identity, wherein the first identity data is obtained via a first source and comprises a previous location associated with the user identity, and wherein the second identity data is obtained via a second source that is distinct from the first source and is determined to be representative of the previous location;
- generating prediction data, representative of a probability of utilization of a service by the user identity, based on the type data, the first identity data, and the second identity data;
- and
- in response to generating the prediction data, facilitating rendering of information associated with the prediction data at a display screen of a user equipment associated with the user identity.
Dependencies are inferred from the claim text.