9 results about "Online chat" patented technology

Systems and methods for increasing accuracy in an online chat interface are provided. Methods may be executed via a machine-learning (ML)-based chat monitoring engine. Methods may include intercepting a request utterance. Methods may include computing, via a trained ML model, an intent of the request utterance; generating a target response to the request utterance; intercepting a response utterance; and calculating a difference between the response utterance and the target response. In response to the difference being less than a threshold difference, methods may include releasing the response utterance to be transmitted as a response message. In response to the difference being more than a threshold difference, methods may include preventing the response utterance from being transmitted as a response message, generating a revised response utterance that is less than a threshold difference apart from the target response, and transmitting the revised response as a response message to a remote computing device.

Example methods and systems recommend and summarize unread messages for a user on an online chat platform. A client device accesses multiple unread messages associated with the user, and a machine learning (ML) model provided by the online chat platform. The client device selects one or more unread messages from the multiple unread messages using the ML model trained with historical chat data and user metadata. The client device also generates a summary of some or all of the unread messages using a second ML model trained with the historical chat data and the user metadata. The indication of the selected unread messages and the summary of unread messages are displayed on the client device.

There are provided systems and methods for dynamically rendered interface elements during online chat sessions. A user may engage in online communications with another user, such as a communication session between a customer and a customer representative or agent of a merchant. During this communication session, the agent may navigate to particular data on the agent's device, which may be desirable to provide to the customer. For example, the agent may view a particular item of interest to the customer. An application programming interface of the merchant may detect one or more actions or calls associated with this data and may dynamically provide an interface element to transmit data displayed on the agent's device to the customer's device during the communication session. The customer may view a dynamically rendered interface element that allows for processing data during the communication session with the agent.

The invention provides a memory conflict-based personification reply method for virtual human online chat, which belongs to the technical field of artificial intelligence virtual human interaction and comprises the following steps of: extracting important activities / events from historical chat input of a user as memory contents; generating conflict behaviors and corresponding reminding verbal skills based on the memory contents, and constructing a memory conflict library in a triple form of the memory contents, the memory conflict behaviors and the reminding verbal skills; performing semantic similarity matching on the current input of the user and conflict behaviors in the memory conflict library; and guiding the large language model to generate anthropomorphic reminding and exhorting verbal surgeries based on a matching result. Accurate triggering of conflict memory is achieved, virtual human reply fits the association between the historical intention of the user and the current behavior, and the anthropomorphic degree of interaction and the user experience are remarkably improved.

Provided is a method for providing a pickup service using a plan position indicator, wherein, after checking the appearance of the counterpart offline, the user can determine whether to meet same through an online chat. This method for providing a pickup service comprises the steps of: receiving first situation information, a first GPS location, and a first search radius from a first terminal; displaying a plan position indicator on the screen of the first terminal upon receiving a search request from the first terminal, and displaying at least one second terminal located within a first search radius around a first GPS location on the plan position indicator according to the distance and azimuth; transmitting second situation information regarding the selected second terminal to the first terminal if a terminal selection event regarding one of at least one second terminal occurs from the first terminal, and transmitting a first notification to the selected second terminal; transmitting a second notification to the selected second terminal if a chat request event occurs from the first terminal in response to the second situation information; and generating a chat room for direct communication between the first terminal and the selected second terminal if an acceptance event occurs from the selected second terminal in response to the second notification.

The invention provides a cross-channel abnormal information aggregation management method and device, equipment and a medium. The method comprises the following steps: acquiring different types of customer service system data information in different regions; based on the obtained customer service system data information of different regions and different types, key information which is related to the abnormity and meets preset requirements is extracted; performing anomaly judgment on the extracted key information which is related to the anomaly and meets a preset requirement by utilizing a detection model to obtain anomaly information; and associating and aggregating different abnormal information belonging to the same client request through the unique identifier of the client request. According to the invention, through a unified data access layer and distributed database storage, unified collection of data of different regions such as national outlets, provincial companies, headquarters and the like and different types of systems such as telephone customer service, online chat, mail customer service and the like is realized, and a traditional collaboration barrier caused by independent storage and incapability of intercommunication of data of each system is avoided.

A method includes receiving a plurality of textual data from one or more users within an online chat group. The method also includes rendering the plurality of textual data for each user of the online chat group. The method includes further enabling one user from the online chat group to edit a textual data originated by another user from the online chat group. A notification is rendered on a graphical user interface (GUI) that the textual data originated by the another user has been edited. In response to a user selection thereof, the edit is accepted, rejected, or further edited.

System and method facilitating real-time communication between users through an online chat interface. An application allows users to create an account and interact through a touch screen user interface. A real-time list of online users is created, and a primary user live chats with a selected chat partner displayed in a chat window. The user interface allows the primary user to select a new chat partner by swiping on the interface. Video quality may be adjusted using an adaptive bandwidth management system, providing a tactile response when the user interacts with the interface, implementing a multi-layered security protocol for safe data transmission, and running a load forecasting algorithm to predict user activity. A dummy version of the new chat partner is created and presented to the primary user before establishing a live chat.

A question is posed by a user of a user device as part of an online chat session with an online system. An intake artificial intelligence (AI) agent interacts with the user via the online chat session in one or more rounds of messaging to gather information that may be used by a human agent to respond to the question. At some point, the online system may identify in an output of the intake AI agent an indication that there is sufficient context regarding the question to transfer the question to the human agent. The online system provides session information (e.g., the question and gathered context) to a user device associated with the human agent. The human agent may use the session information to develop a response to the question that may be provided to the user.