At&t Intellectual Property I, L.p.

Warnermedia, LLC

At&t Mobility Ii LLC

Christopher Volinsky

Ann Eileen Skudlark

Zhengyi Zhou

Deirdre Paul

Appavu Siva Prakasam

Eric Martin Zavesky

Emir Halepovic

Simon D Byers

Carlos Eduardo De Andrade

Yehuda Koren

Lien K Tran

David John Poole

Olivia Hong

Sanjeev Misra

Rakhi Seth-Forrest

David Crawford Gibbon

Zhu Liu

Mazin E Gilbert

Vijay Gopalakrishnan

Robert Bell

Stephen Charles North

James Klosowski

Raif Rustamov

Jean-Francois Paiement

Yifan Hu

Dan Melamed

Emden Gansner

Sastry Isukapalli

Tuba Aktaran Kalayci

Amritha Joseph

Stephen Kobourov

Aspects of the subject disclosure may include, for example, a system or method that determines, based on consumption data and location information, groups of access portals, where the consumption data and the location information correspond to a time period in which the access portals are used to access a service using an account. The groups can be adjusted according to an intended benefit unit for the service and a sharing structure can be determined including benefit unit partitions for the account based on the adjusting. Factors can be determined, based on the benefit unit partitions, that are indicative of account sharing, as well as weights for the factors by applying a learning model to the consumption data. An intervention strategy can be selected from a group of intervention strategies according to the factors and the weights for the factors. Other embodiments are disclosed.

Method and apparatus to profile account credential sharing

Aspects of the subject disclosure may include, for example, a system or method that collects or otherwise accesses information indicating connection patterns such as IP addresses being utilized by communication devices for communication services over a time period, where the communication devices use a same credential of a single account for accessing the communication services. Hubs can be identified according to groups of the communication devices that exhibit a particular sharing pattern such as having used the one or more common IP addresses. A prediction or estimation that the single account is engaging in sharing activity can be made based on an analysis of the hubs, such as based on a number of the hubs. Other embodiments are disclosed.

Method and apparatus to monitor account credential sharing in communication services

Facilitating separation of intended and non-intended browsing traffic in browsing history advanced networks (e.g., 4G, 5G, and beyond) is provided herein. Operations of a system can comprise determining respective contradiction values for second-level domains of a group of second-level domains in observed browsing history traffic. The operations can also comprise separating intended network traffic from non-intended network traffic based on the respective contradiction values. The respective contradiction values can indicate levels of inconsistency between the observed browsing history traffic and a determined popularity ranking.

Separating intended and non-intended browsing traffic in browsing history

Aspects of the subject disclosure may include, for example, identifying content consumption data associated with media content consumption at a customer device, and generating a content selection recommendation for the customer device. Some embodiments can include determining a habit-based content selection vector for the customer device. Various embodiments can include determining the habit-based content selection vector based on a habit profile for the customer device. Some embodiments can include adjusting a content selection vector for the customer device based on the habit-based content selection vector for the customer device. Various embodiments can include generating the content selection recommendation for the customer device based on the adjusted content selection vector. Other embodiments are disclosed.

Content recommendation techniques with reduced habit bias effects

Aspects of the subject disclosure may include, for example, a method comprising receiving one or more media content items; creating one or more leveraged content items from the media content item(s) by extracting one or more leverage points from the media content item(s); obtaining user information, such as user preferences and user context; selecting a selected content item from the leveraged content item(s) based on the user information; creating a custom content item by further extracting a subset of the leverage points from the selected content item based on the user information; and presenting the custom content item to the user's equipment. Other embodiments are disclosed.

System for content curation with user context and content leverage

A more efficient over-the-air software push can be facilitated by leveraging a smart scheduling system for vehicles. The smart scheduling system can use location and network capacity data to prioritize over-the-air software pushes for vehicles. For instance, a vehicle, which is only operational during off-peak wireless network hours can receive a software push during the off-peak times because wireless network capacity is not an issue. However, vehicles, which are used primarily during heavy peak wireless network times can receive software in a prioritized manner based on location data, frequency of use, network capacity, etc.

Facilitation of efficient software downloads for vehicles

A system for dynamic derivation of and sending to a contact group. The system may recognize an emergency situation (natural disaster, stranded, lost cell connection) and send a confirmation that may be sent to different contact groups from a network entity. The system may also recognize anomalous user behaviors and send a message indicating the anomalous user behaviors to different contact groups from the network entity.

Dynamic derivation of and broadcast to emergency contact list

Software downloads to Internet of things (IoT) devices are facilitated over a constrained network. In one embodiment a method comprises monitoring, by a network device comprising a processor, data determined to have been sent to a device for transmission to the device via a radio access network device of a wireless communication network, and determining, by the network device, a type of traffic associated with the data. The method further includes based on a determination that the data comprises firmware and that the type of traffic is of a traffic priority that is lower than a defined traffic priority, applying, by the network device, a low priority transport protocol to the data, wherein the applying comprises associating protocol information with the data representative of the low priority transport protocol.

Facilitating software downloads to internet of things devices via a constrained network

A system for dynamic derivation of and sending to a contact group. The system may recognize an emergency situation (natural disaster, stranded, lost cell connection) and send a confirmation that may be sent to different contact groups from a network entity.

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Morristown, NJ, United States of America

Christopher Volinsky