Using an image analysis model within an image intended for distribution online, an image portion depicting personally identifiable information is identified, the personally identifiable information comprising image data usable to identify a specific individual. Using an online profile, a person depicted in the image portion is identified. A transaction is posted in a publicly-accessible distributed encrypted ledger, the transaction comprising an encrypted request to allow the image to be distributed online. According to a response to the request, the image portion is obfuscated, the obfuscating comprising altering data of the image portion, the altering making the image portion unusable to identify the person.

Systems and methods for providing a first user with recommendations of media assets for inclusion in a playlist for a second user based on the second user's viewing activity. These systems and methods receive, from the second user, an expression of disinterest in a media asset included in the playlist for the second user, update a user profile associated with the second user based on the expression of disinterest, and determine a recommendation for another media asset based on the updated user profile associated with the second user. The systems and methods provide the recommendation to the first user. By recommending media assets that the second user is least likely to object to, these systems and methods reduce the frequency of disruptive requests for media assets from the second user.

Systems and methods for providing a first user with recommendations of media assets for inclusion in a playlist for a second user based on the second user's viewing activity. These systems and methods receive, from the second user, an expression of disinterest in a media asset included in the playlist for the second user, update a user profile associated with the second user based on the expression of disinterest, and determine a recommendation for another media asset based on the updated user profile associated with the second user. The systems and methods provide the recommendation to the first user. By recommending media assets that the second user is least likely to object to, these systems and methods reduce the frequency of disruptive requests for media assets from the second user.

Systems and methods provided for presenting supplemental content in an augmented reality environment where an object within a field of view of an augmented reality device of a user is identified and processed to detect a reference related to a participant in an event. A user profile or user social network is searched to identify a message from the user about the participant. The message may be combined with the object in the augmented reality field of view.

Systems and methods of establishing service requests via a smart TV device are provided. A smart TV device can receive fault condition information. The smart TV device can establish a first communication session between the smart TV device and a server and can transmit a service request interaction, including the received fault condition information, to the server. The server can transmit the first service request interaction to a computing device in a contact center environment. The computing device can generate diagnostic information and can transmit the diagnostic information to the server, which can forward the diagnostic information to the smart TV device. The smart TV device can display a prompt to deflect the first service request interaction from the smart TV device to a mobile device of the user. The mobile device can establish a second communication session between the mobile device and the computing device in the contact center environment to complete the first service request interaction.

A classification based notification system is disclosed which performs operations that include: accessing user profile data associated with a user account associated with a client device, the user profile data including a list of user connections; designating a notification type to a portion of the list of user connections, the notification type corresponding to an alert attribute; receiving a notification from a user connection from among the portion of the list of user connections at the client device; and presenting an alert based on the alert attribute that corresponds with the notification type associated with the portion of the list of user connections at the client device.

An acquiring unit acquires information of the residence of one or more second users each having a second social media account related to a first user having a first social media account. An estimating unit estimates the residence of the first user from the information of the residence of the second user. A detecting unit detects a posting area at which the first user has posted on social media. A comparing unit compares the detected posting area with the estimated residence of the first user. A determining unit determines whether the posting area is an ordinary activity area or an extraordinary activity area for the first user based on the result of the comparison.

A method for processing social information comprises: acquiring social information sent by an interactive object (101); determining whether a reply control is displayed according to the social information (102); if it is determined that the reply control is displayed, then displaying the social information and the reply control in a message list (103); and sending reply information to the interactive object in response to a user operation for the reply control (104).

A trustability analyzing system (100) includes: a friend list acquisition unit (111) configured to acquire, via a network, person attribute information of a holder of an account that is subject to determination; a friend information acquisition unit (112) configured to acquire, via the network, a list of friend accounts of the account that is subject to determination; an attribute information acquisition unit (113) configured to acquire, based on the list of friend accounts, information about the friend via the network; a person attribute estimation unit (121) configured to estimate, based on the information about the friends, person attributes of the holder of the account that is subject to determination; a distance calculation unit (122) configured to calculate a distance between the person attribute information acquired by the person attribute acquisition means and the person attributes estimated by the person attribute estimation means; and a trust level calculation unit (123) configured to calculate, based on the distance calculated by the distance calculation means, a trust level of the account that is subject to determination.

Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for the generation of a recommendation for one or more resource transformation actions to be performed based at least in part on an optimized resource transformation scenario. The optimized resource transformation scenario can be identified based at least in part on a hybrid resource transformation scenario that can be based at least in part on a resource priority score for a residual resource and a downgrade-only resource transformation scenario. The downgrade set of a plurality of resources can be determined based at least in part on resource transformation data associated with the plurality of resources.