Techniques for content augmentation and assist are provided. A textual conversation between a first user and a plurality of recipients is analyzed to determine a first intent of the first user. A set of relationships is determined between the first user and the plurality of recipients, and a set of historical intents corresponding to each of the plurality of recipients is evaluated to identify similar intents to the first intent. A plurality of predefined messages is identified based on one or more similar intents that overlap between two or more of the plurality of recipients. A first predefined message is selected, from the plurality of predefined messages, based on the first intent and the determined set of relationships, and suggested content is provided based on the first predefined message.

Disclosed are methods, systems, and non-transitory computer-readable medium for optimizing user experience with respect to sequences of electronic messages to drive user engagement. For example, a method may include determining a set of messages including at least a first message and a second message; transmitting the first and second messages as an initial message to a first plurality of devices and a second plurality of devices, respectively; determining a first and second performance indicator at least based on one or more responses to the first and second messages transmitted as the initial message, respectively; comparing the first performance indicator and the second performance indicator; and sorting a sequence of the set of messages based on the comparison of the first performance indicator to the second performance indicator.

Methods and systems for controlling electronic message transmission are described. An example method may include: receiving, via a network, an error report generated based on a response from a recipient email server responsive to an attempt to send a message to an email address associated with the recipient email server, the error report indicating that the attempt to send the message was rejected by the recipient email server; adding the email address to a block list, wherein any subsequent attempt to send messages to the email address is blocked based on the email address being in the block list; and removing the email address from the block list after a defined period of time.

A dense passage retrieval machine learning model having a first encoder for resources and a second encoder for messages can automatically match relevant resources to computers or sessions based on analysis of a series of messages of an online chat conversation. Continuous re-training is supported based on feedback from a moderator computer and/or user computers.

One example method of operation may include identifying a content thread in a content sharing forum, ranking topics of the content thread to identify highest weighted topics based on content of messages included in the topics, creating a share link to access the highest weighted topics, and posting the share link in one or more other content threads of one or more other content sharing forums, and the one or more other content threads include topics with similar content to content of the highest weighted topics of the content thread.

A text messaging system that allows messaging apps to send one or more layer identifiers that can specify content for a layer and Z depth of that layer relative to other layers in a text message transcript such as a sent message layer and a received message layer.

Provided are a method and server for providing a content list. The method and server for providing a content list includes: providing source content to a chat room, receiving a request for providing a content list related to the source content from a first terminal of a first member; providing at least one of a first content list including at least one keyword-related content selected from among the entire contents stored in the server based on a keyword of the source content and a second content list including at least one group-related content belonging to the same group as a group of the source content among the entire contents, receiving information on selection content selected by the first member among the contents included in the at least one content list, from the first terminal, and providing the selection content to the chat room.

A chat system includes: a user answer acquisition unit that, when a question is received from a user who is questioner, transmits the question to a plurality of other users to acquire answers from the plurality of other users; and an answering unit that answers the questioner by using any of the answer, content stored in a database of a conversation data storage unit and the answer content obtained from the plurality of other users. By selecting any of the answer content stored in the database and the answer content obtained from, the plurality of other users, a more appropriate answer can be provided to the questioner.

The present disclosure discloses a subject matter message notification method performed at a terminal and to be disseminated to one or more target users. The method includes: displaying a subject matter editing interface, the subject matter editing interface including an editing item used for editing subject matter content, an editing item used for adding a target user, and an editing item used for adding a file; generating a subject matter message in accordance with user-provided subject matter content through the editing item used for editing subject matter content, one or more user-selected target users through the editing item used for adding a target user, and one or more user-selected files through the editing item used for adding a file; and sending the subject matter message to a server, wherein the server is configured to send the subject matter message to the one or more user-selected target users.

Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.