A method, computer program product, and computer system for identifying attribute information of at least a first wearable associated with an outfit of a user. Information about an event may be received. An electronic message may be sent about whether at least a portion of the outfit is recommended for wearing at the event based upon, at least in part, the attribute information of at least the first wearable and the information about the event.

A third-party service may be used to assist entities in responding to requests of users. A third-party service may receive, directly or indirectly, a request of a first user for assistance from a first entity. The third-party service may request information about the first user by sending a request to a computer of the first entity. The third-party service may use the request of the first user and the information about the first user to automatically generate a response to the request of the first user. The third-party service may then transmit, directly or indirectly, the response to the first user.

Embodiments of a system and method for sharing content across a social network can include: receiving content (e.g., a content update) for a content channel (e.g., at a channel node of a set of remote channel nodes); assigning a content identifier to the content; transmitting the content with the content identifier to a user account associated with the content channel; and modifying the content channel with the content based on the content identifier.

A third-party company may assist other companies in providing customer support to their customers. The third-party company may provide software to a computer of a customer service representative to present a user interface to assist the customer service representative in responding to customer requests. Third-party company may also send update data to the computer of the customer service representative to cause a portion of the user interface to be updated, where the update data is determined using an intent of a message received from a customer. A message received from the customer may be processed to determine the intent of the message, a template may be obtained using the intent, and the update data may be generated by rendering the selected template. The update data may then be transmitted to the computer of the customer service representative to cause a portion of the user interface to be updated.

An electronic communication system, such as a question-and-answer service, is provided in which a user submitting a question specifies one or more dialog network members to whom a notification of the question is provided. Authenticated responses by a member are published to the asker and other members. Responses may be made available to external users, with content contributors being either publicly identified or anonymous. If authorized, members of a dialog may add other individuals as members of the dialog, and imbue upon them special rights relative to the dialog.

A monitoring system for apparatus and systems in commercial and residential properties is provided. The monitoring system consists of a head unit and a tail unit, each of which has one or more sensors that measure performance parameters that are important to understanding the performance of the apparatus and system being monitored. As an example, an HVAC system may be monitored to determine when an air filter needs to be changed, or to predict when failure of the HVAC system may be imminent. The sensor array in the head unit and tail unit measure performance and report alerts and historical system performance to users through a mobile app, social media accounts, or any other system for communicating over a wired or wireless network connection.

The present disclosure includes systems and methods for censoring comments made on social media. A censorship list associated with a subject user may be maintained, wherein the censorship list comprises a plurality of censored comments associated with the subject user. A commenting user may publish a comment on the wall of the subject user. The subject user may be notified on the comment, and provided an option as to whether to censor the comment. The comment may be added to the censorship list if the subject user censors the comment.

In one embodiment, a method includes one or more computing devices detecting a triggering action by a user of a social-networking system, wherein the detecting includes receiving information about the triggering action from a client device associated with the user and accessing a queue including multiple notifications. The method also includes, for each of one or more of the notifications, calculating using a machine-learning model, a click-through probability that the user will interact with the notification upon display of the notification, wherein the machine-learning model is based at least in part on one or more features associated with the user or the notification, determining whether the click-through probability satisfies a threshold, and if the click-through probability satisfies the threshold, then sending the notification to the client device associated with the user for display, else, removing the notification from the queue.

Systems, methods, and non-transitory computer-readable media according to certain aspects can receive at least one message sent by a user of a social networking system to a page provided by the social networking system, where the page is associated with an entity. A training data set including a plurality of messages can be determined, and the training data set can indicate an intent classification for each of the plurality of messages. The intent classification can be indicative of an intent associated with a particular message. A machine learning model may be trained based at least in part on the training data set. A first intent classification for the at least one message can be determined, based at least in part on the machine learning model.

One embodiment provides a method, including: receiving an indication of an addition of a new participant in a textual communication between at least two existing participants; identifying at least one confidential topic contained within the textual communication by (i) parsing the textual communication and (ii) identifying at least one topic contained within the textual communication; the identifying comprising (i) accessing a confidentiality graph comprising (a) nodes representing participants and (b) edges representing confidential concepts that are acceptable discussion topics between participants connected by a corresponding edge and (ii) determining that an edge corresponding to the at least one confidential topic does not connect the new participant with both of the existing participants; and alerting one of the existing participants that the at least one confidential topic is included in the textual communication to be sent to the new participant.