A system for generating a cluster profile is provided. The system may include a server and a database. The server may be configured to receive event information from a plurality of consumer devices. The database may store a plurality of member profiles. The server may be configured to retrieve the member profiles from the database and may determine a subset of member profiles to associate with a cluster; the server may calculate an intersection of the facts from the subset of member profiles and may generate a cluster profile based on the intersection of the facts from the subset of member profiles.

An end user premises device is provided that includes a memory, one or more transceivers, and one or more processors. The one or more transceivers are configured to communicate with one or more stations in a network and a client device. The one or more processors are configured to receive a first user request for data from the client device using the one or more transceivers, determine a first point in time for retrieving the data based on an amount of charge in batteries of the one or more stations in the network, retrieve, at the first point in time, the data from a remote server via the network using the one or more transceivers, store the data in the memory, and in response to a second user request, transmit the data to the client device using the one or more transceivers.

In an example, a plurality of potential feed objects are obtained. An identification of a user performing a navigation command in a user interface is also obtained, the navigation command causing a feed to be displayed or updated. The identification of the user and the plurality of potential feed objects are fed to a machine learned feed object ranking model, the feed object ranking model having been trained via a machine learning algorithm to calculate a score for each of the potential feed objects, the score being based on a combination of a likelihood that the user will perform an interaction, via the user interface, on the potential feed object, likelihoods that the user's interaction will cause one or more downstream events by other users, and a value of the one or more downstream events to a social networking service. The plurality of feed objects are ranked by their scores.

Methods and systems for path selection involving remote access protocols and/or user behavior are described herein. A request, from a first computing device, for content hosted on a second computing device may be received. Based on network state metrics, remote access protocol metrics, and/or user experience metrics, a path of a plurality of paths between the first computing device and the second computing device may be selected. The path need not be the most direct path between the first computing device and the second computing device, and may comprise remote access to a computing device on an intermediary server. Based on user behavior analysis performed with respect to user input data, a path may be re-selected, and/or the network state metrics, remote access protocol metrics, and/or user experience metrics may be weighted.

A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk that can be communicated as a warning to community members.

A wireless communication network serves User Equipment (UEs) over a Third Generation Partnership Project (3GPP) Network Exposure Function (NEF). The wireless communication network comprises a non-3GPP Interworking Function (IWF) and the 3GPP NEF. The non-3GPP IWF receives NEF Application Programming Interface (API) calls that have UE data from the UEs over non-3GPP access nodes. The non-3GPP IWF transfers the NEF API calls that have the UE data to the 3GPP NEF. The 3GPP NEF receives the NEF API calls that have the UE data from the non-3GPP IWF. The 3GPP NEF exposes the UE data to an Application Functions (AF) in response to the NEF API calls.

A building management system (BMS) includes building equipment operable to affect a physical state or condition of a building coupled to a gateway device configured to communicate building data from the building equipment to a cloud-based platform according to a data control template configured to control a data rate between the gateway device and the cloud-based platform. The cloud-based platform includes a hub to generate a virtual device twin comprising the data control template and configured to receive the building data and represent the gateway device on the cloud-based platform, as well as plurality of cloud applications configured to provide a building data output. The cloud-based platform is configured to communicate the building data output to and receive a command from at least one of a control application, an analytic application, or a monitor application. The gateway device further configured to operate according to the command.

A building management system (BMS) includes building equipment operable to affect a physical state or condition of a building coupled to a gateway device configured to communicate building data from the building equipment to a cloud-based platform according to a data control template configured to control a data rate between the gateway device and the cloud-based platform. The cloud-based platform includes a hub to generate a virtual device twin comprising the data control template and configured to receive the building data and represent the gateway device on the cloud-based platform, as well as plurality of cloud applications configured to provide a building data output. The cloud-based platform is configured to communicate the building data output to and receive a command from at least one of a control application, an analytic application, or a monitor application. The gateway device further configured to operate according to the command.

In one embodiment, a method includes receiving a user input from a first user at the first client system, determining that the user input is a sharing request to share content, determining multiple second users the sharing request is directed to, determining, for each second user, modalities associated with the respective second user based on the content, a user profile associated with the respective second user, and modalities supported by a second client system the respective second user is currently engaged with, the respective second user being associated with two or more second client systems, and sending, to one or more second client systems currently associated with the second users, instructions for accessing the content based on the determined modalities for each second user.

A log file processing system sorts records from large log files and groups them by session without making a complete copy of the log files by capturing a subset of the log files in a sliding memory window and identifying all records in the window that form a complete user session. Records belonging to a complete session are output for analyzing, and the remaining records are output as raw log data for additional processing. Using a ring buffer to implement the sliding memory window, data structures are used to group records by session, to identify completed sessions, and to index into the ring buffer to retrieve records for completed sessions that are to be directly analyzed. Any records remaining in the ring buffer at the end of slide window processing may be output as raw log file data and are processed as incomplete or malformed session records. An embodiment of the log file processing system provides a significant improvement on the speed of data extraction from log files into analyzable session data.