Abstract: A network device determines when multiple users each connect to a network using one or more devices. The network device obtains device or network-related parameters associated with the one or more devices and generates profiling vectors for each of the multiple users, that connects to the network using the one or more devices, to produce multiple profiling vectors. The network device clusters the multiple profiling vectors to identify cluster centers associated with a plurality of user groups, and determines first users of the multiple users for, or with, whom to perform certain actions or activities based on the first users' affinity with one or more of the plurality of user groups. The network device performs the certain actions or activities with respect to the determined first users.

Abstract: A user interface of a video conference system includes a bi-axial display of highlight information corresponding to highlights designated by participants in a video conference. The biaxial display shows highlights organized in timeline fashion within a panel arranged alongside a display of conference participants, and indications of those highlights within a timeline associated with the display of conference participants. The highlights organized in timeline fashion within the panel may include spaces for comments by the conference participants. Moreover, the panel may be configurable to display either the spaces for comments by the conference participants or an annotated transcript of the video conference, the transcript being annotated with indicators of instances of the highlights.

Abstract: A controller provides dynamic load distribution in a multi-tier distributed platform. The controller may receive a request at a first Point-of-Presence (“PoP”) with a first set of resources. The first PoP may be part of a distributed platform with several distributed PoPs at different network locations. The controller may classify the requested task with a priority, may determine resource availability, and may dynamically distribute the request by (i) providing the request to the first set of resources in response to classifying the task with a high first priority, and determining the availability of the first set of resources to be less than a threshold, and (ii) providing the request to a second PoP in response to classifying the task with a lower second priority, and determining the availability of the first set of resources to be less than the threshold.

Abstract: One or more computing devices, systems, and/or methods for commentary generation are provided. For example, a conversation, occurring through a conversation interface associated with a content item, is monitored to identify a tone of the conversation (e.g., users discussing a news article). If the tone deviates from a target tone (e.g., a negative tone of inflammatory comments, a low participation tone, an off topic tone, etc.), then intervention is automatically and programmatically performed for the conversation. For example, subject matter of the content item, information from external sources (e.g., other articles, social network posts, or website content associated with a topic of the news article), and/or programmatically generated information (e.g., topical statements generated by a neural network) are used to construct a comment. The comment is posted to the conversation interface in order to improve the conversation, such as to increase positive engagement by users.

Abstract: A device may receive behavior information that identifies a first user, of a first set of users, in association with a behavior. The behavior may relate to one or more requests, from a client device being used by the first user, to access a network resource. The device may determine, based on a model, whether the behavior is normal. The model may include a normal behavior pattern based on behavior information associated with the first set of users. The device may provide an instruction to allow the client device to proceed with the behavior or provide an instruction to disallow the client device from proceeding with the behavior based on determining whether the behavior is normal. The device may update the model based on the behavior information that identifies the first user and that identifies the behavior.

Abstract: A user device parses system information block data, received from a first cell, to identify an upper layer indicator element, and determines, based on the upper layer indicator element, that the user device is in an EN-DC area. The user device causes, based on determining that the user device is in the EN-DC area, first display of a first indicator on a display of the user device, and sends a request to the first cell for a data connection. The user device receives, from the first cell, a message that indicates a second cell will initiate the data connection via a 5G NR millimeter wave connection. The user device causes, based on the message, display of a second indicator on the display of the user device for a threshold amount of time, and then causes second display of the first indicator on the display of the user device.

Abstract: Disclosed herein is an enhanced device personalization that personalizes a user's experience with a device, e.g., a multi-user device. Rather than personalizing based on the specific user(s) that are using, an active entity, which represents a type of consumption, may be generated and used to make recommendations for personalizing an experience using the device. In a case of a multi-user device, each user's experience is personalized by determining an active entity for the user's experience and without knowledge of which user is using the device.

Abstract: Server side content impression progression tracking is performed using ping triggers and pings. A server generates ping triggers for content based on an impression list from a configuration provided by the content originator. The server sets different times at which the ping triggers are to fire during content playback. When media playback on a client reaches a time set for a ping trigger, the ping trigger causes the client to return a ping to the server to indicate that playback has reached the designated time. In this manner, the pings granularly track content viewership on different clients, wherein the granular tracking measures not only whether content was viewed or not, but also how much of the content was viewed. Subsequent content to a particular client can be customized based on preferences derived from pings tracked from the particular client.

Abstract: Systems and methods described herein provide routing determinations for MT-SMS-over-NAS in core networks that support 5G and legacy systems. A network device stores routing priority data for multiple short message service (SMS) delivery methods in the core network. The network device receives, from a first network element, a delivery request for a mobile-terminated (MT) SMS message directed to an end device and sends, in response, a query to a second network element. The query requests a short message service function (SMSF) address for an SMSF in the core network with which the end device is registered. The network device receives a response to the query and selects, based on the response and the stored routing priority data, an SMS delivery method for the MT SMS message. The network device sends, to a third network element, routing instructions for the MT SMS message based on the selected SMS delivery method.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in secure content access, distribution and download and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic token-based secure content streaming.

Abstract: One or more computing devices, systems, and/or methods for securing resources are provided. For example, a request to access resources may be received from a first device. A verification process may be performed using a second device, to verify an identity associated with the request. The first device may be provided with access to the resources. The access may be a first level of access. It may be determined that a distance between the first device and the second device is greater than a threshold distance. Responsive to determining that the distance is greater than the threshold distance, the access to the resources may be modified to a second level of access. The second level of access may be different than the first level of access.

Abstract: A device receives, from a user device, a request to perform a test of software on a test device. The test device includes a device that simulates a device provided in a cloud computing environment, and the software includes software to be implemented in the cloud computing environment. The device determines whether the test device includes available resources to perform the test, and causes the request and the software to be provided to the test device when the test device includes the available resources to perform the test. The available resources are utilized to perform the test of the software and to generate results based on performance of the test. The device receives, from the test device, the results that include information indicating whether the software passed or failed the test. The device provides the results to the user device.

Abstract: Aspects of the present disclosure describe optical fiber sensing systems, methods and structures disclosing a distributed fiber sensor network constructed on an existing, live network, data carrying, optical fiber telecommunications infrastructure to detect temperatures, acoustic effects, and vehicle traffic—among others. Of particular significance, sensing systems, methods, and structures according to aspects of the present disclosure may advantageously identify specific network locations relative to manholes/handholes and environmental conditions within those manholes/handholes namely, normal, flooded, frozen/iced, etc.

Abstract: A service provider server may receive a request for temporary wireless data service for a user device. The service provider server may determine user information associated with a user account of the user device based on the request for the temporary wireless data service. The service provider server may generate a profile for the temporary wireless data service based on the user information associated with the user account. The service provider server may provide provisioning information based on the profile for the temporary wireless data service to the user device to activate access to the temporary wireless data service. The service provider server may authenticate, after providing the provisioning information, the user device for use of the temporary wireless data service based on the provisioning information and the profile.

Abstract: A device may receive first data items and second data items that may have been output by sensor devices. The device may add, to a node in a data structure, at least some of the first data items. The device may divide the node to create subnodes that correspond to subregions of a geographic region. The device may add, to at least one of the subnodes, at least some of the second data items. The device may generate a probability of a first relationship, between the first data items and the second data items, based on determining subnodes that include a first data item and determining subnodes that exhibit a predefined second relationship with a second data item. The device may send, to another device, the probability of the first relationship to support location-based services.

Abstract: One or more computing devices, systems, and/or methods for personalized banner generation and display is provided. For example, an image comprising a product object depicting a product is identified. A background of the image is identified and removed. Features of the product object are evaluated to determine a product type of the product. A new background is selected based upon the product type. A banner comprising the new background and the product object positioned over the new background at a position within the banner is generated. The banner is rendered on a display of a computing device through a user interface.

Abstract: The present teaching relates to online task exchange. In one example, information related to a task automatically created based on an intent of a person is received. The task is posted to a plurality of parties that are capable of completing the task. One or more bids are received from at least some of the plurality of parties. At least one winning bid is selected from the one or more bids based on at least one criterion. Information indicative of a status as to completion of the task is received. Resource is allocated to the at least one winning bid based on the status.

Abstract: In an exemplary embodiment, user input is received, a selected portion of a digital image is identified based on the user input, a data instance is selected, and a tag is applied to the selected portion of the digital image. The applied tag provides an association between the selected portion of the digital image and the data instance. In certain examples, a visual indicator representative of the tag is provided for display together with the tagged digital image.

Abstract: Systems and methods described herein provide a multi-access edge computing (MEC) prediction service. A network device in a MEC network receives a predicted MEC route for an end device executing an application instance. The predicted MEC route identifies a projected time when the end device will connect to the network device for services and a service requirement for the application instance. The network device reserves resources to service the application instance at the projected time, based on the predicted MEC route. The network device provides a computing service for the application instance using the reserved resources when the end device initiates a data session with the network device.

Abstract: One or more computing devices, systems, and/or methods for auto-generating subject suggestions are provided. For example, a set of n-grams are generated from text within an email body of an email being composed by a user and/or from descriptive information of attachments to the email. Features of the set of n-grams are identified, such as a date feature, a proper noun feature, an activity feature, a number of words feature, etc. Classifiers are used to assign probabilities to the n-grams based upon the features. A probability may specify a strength of an n-gram in relation to a user preference of the user for an email subject derived from the n-gram. In this way, an email subject suggestion is generated based upon a target n-gram with a probability exceeding a threshold. The email subject suggestion is provided to the user, such as during email composition or during sending of the email.