A computer that selectively removes online content associated with an individual is described. During operation, the computer may perform an enrollment process associated with the individual, where the enrollment process involves receiving credentials for one or more accounts associated with the individual. Then, based at least in part on the credentials, the computer may monitor a subsequent activity history associated with the individual, where the activity history includes online transactions associated with the individual, and where the online transactions are associated with multiple locations and the one or more accounts. When the computer receives information specifying an occurrence of an event (such as death or illness of the individual), the computer may, based at least in part on the monitored activity history, selectively remove the online content associated with the individual and at least some of the locations.

A method for sorting geographic location points, a method for training a sorting model and corresponding apparatuses are disclosed, which relates to the technical field of big data. A specific implementation solution is: receiving a query request for geographic location points of a vertical class from a user; inputting candidate geographic location point data of the vertical class into a preference model of the user, to obtain a preference score of the user for each candidate geographic location point; inputting the preference score of the user for each candidate geographic location point into a sorting model as one of sorting features of each candidate geographic location point, to obtain a sorting score of each candidate geographic location point; and determining, according to the sorting score of each candidate geographic location point, a query result returned to the user. The present disclosure can integrate preference factors of a user into sorting when the user queries geographic location points of a vertical class, so that query results can meet the user's personalized needs.

Various implementations of the present application set forth a method comprising generating three-dimensional data and two-dimensional data representing a physical space that includes a real-world asset, generating an extended-reality (XR) stream representing a remote collaboration session between a host device and a set of remote devices, where the XR stream includes a combination of the three-dimensional data and the two-dimensional data, a set of augmented-reality (AR) elements associated with the real-world asset, and a set of performed actions associated with a portion of the digital representation or at least one AR element, serializing the XR stream into a set of serialized chunks, transmitting the serialized chunks to the remote devices, where the remote devices recreate the XR stream in a set of remote XR environments, and transmitting the serialized chunks to a remote storage device, where a device subsequently retrieves the serialized chunks to replay the remote collaboration session.

A system, method, and computer media are provided for combining and transmitting information to a device and via a channel of a user. The method comprises receiving a plurality of news elements, which are stored in a database. A relevance score is determined of the news elements in the news element database for a plurality of user elements stored in a user portfolio in the memory of the processing system. News elements are selected from the database based on the relevance score. The method further comprises determining at least one of an active device and an active channel of the user, reformatting the selected news elements into story components based on the determined device and channel into story components, and transmitting the story components to the active device and via the active channel of the user.

A detection device monitors a communication event including communication by humans when a legitimate user accesses sensitive data for each legitimate user. The detection device builds a profile of the user indicating normal behavior when the user accesses the sensitive data by performing machine learning on a result of the monitoring. After that, the detection device acquires a communication event when a user to be authenticated accesses sensitive data. The detection device determines whether behavior of the user to be authenticated indicated in the acquired communication event corresponds to normal behavior when the user accesses the sensitive data indicated in a profile of the user, and outputs a result of the determination.

A system for a product bundle for purchase may include a user device associated with a given user, and a promotional server. The promotional server may obtain historical online browsing data associated with the given user, and obtain historical shopping data associated with the given user. The promotional server may also generate the product bundle based upon the historical shopping data and the historical online browsing data. The product bundle may include complementary products for purchase each having a purchase price associated therewith. The product bundle may have a bundle price that is less than a sum of purchase prices of each of the complementary products. The promotional server may communicate the product bundle and the bundle price to the user device for display thereon, generate a digital promotion redeemable toward the purchase of the product bundle, and communicate the digital promotion to the user device.

Systems are provided for logging transactions in heterogeneous networks that include a combination of one or more instrumented components and one or more non-instrumented components. The instrumented components are configured to generate impersonated log records for the non-instrumented components involved in the transaction processing hand-offs with the instrumented components. The impersonated log records are persisted with other log records that are generated by the instrumented components in a transaction log that is maintained by a central logging system to reflect a complete flow of the transaction processing performed on the object, including the flow through the non-instrumented component(s).

Embodiments of the present invention provide a system for determining real-time resource capacity of entity devices based on performing predictive analysis. In particular, the system may be configured to identify one or more users at a location of an entity device waiting to perform one or more interactions via the entity device, establish a communication link with the entity device, determine identity of the one or more users based on communicating with the entity device, calculate an estimated interaction amount associated with the one or more interactions of the one or more users, determine capacity of the entity device in real-time, identify that the capacity of the entity device does not meet the calculated estimated interaction amount, and transmit a notification to at least one user of the one or more users via the entity application present on a user device of the at least one user.

A method of determining that a client is likely engaged in the sending of spam emails via a network node. The method comprises, at the network node, defining a message size threshold and a message sending rate threshold, detecting the opening of Simple Mail Transfer Protocol, SMTP connections between a client device and an email server, identifying messages sent from the client over the SMTP connections which exceed said message size threshold and counting the identified messages to determine a client email message sending rate. The method further comprises making an assumption that the client is engaged in the sending of spam emails if the client message sending rate exceeds said message sending rate threshold.

A computerized-method for dynamic digital-survey-channel selection is provided herein. In a computerized system having a processor, a memory to store a database of survey responses and a database of customers details, and a Voice of the Customer (VOC) platform having an outbound-message Application Programming Interface (API) to send a digital survey to a customer, via a plurality of digital survey channel types, when a customer is nominated for a digital survey, the computerized-method included operating by said processor, a digital-survey-channel-selection module. The digital-survey-channel-selection module includes (i) determining a digital-survey-channel type to elevate customers-response-rate to a digital survey; and (ii) sending the determined digital-survey-channel type to the outbound-message API to trigger the digital survey to a computerized device of the customer, via the determined digital-survey-channel type.