Abstract: An approach is described for addressing propagation of inaccurate information in a social networking environment. An associated method may include identifying inaccurate information within the social networking environment, facilitating creation of countering content to address the inaccurate information, and disseminating the countering content. The countering content may be determined by identifying behavior of one or more users among a plurality of users within the social networking environment. Identifying the inaccurate information within the social networking environment may include receiving information provided within the social networking environment. Upon determining that the received information is factual and thus objectively verifiable, it may be determined whether the received information matches analogous information verified as accurate.

Abstract: A presentation service generates an audience interface for an electronic presentation. The audience interface may simulate an in-person presentation, including features such as a central presenter and seat locations for audience members. The audience members may select emotes which may be displayed in the audience interface. The emotes may indicate the audience members' opinion of the content being presented. The presentation service may enable chats between multiple audience members, grouping of audience members private rooms, and other virtual simulations of functions corresponding to in-person presentations.

Abstract: Generating a user interface template is provided. A user context corresponding to an action request by a user to perform a task on a computer is determined. A set of user interface templates corresponding to the action request by the user and the user context is retrieved. Components of different user interface templates within the set of user interface templates are compared. Relevant components of the different user interface templates are combined based on the action request by the user and the user context. The user interface template corresponding to the action request by the user and the user context is generated based on the combined relevant components of the different user interface templates.

Abstract: A text-based real-time communication interface, such as a chatbot, is presented to a user for the exchange of customer support information. A user's freeform text input is analyzed using machine learning algorithms to derive the meaning of the input text as well as to determine the user sentiment expressed therein. These determinations may be further supported by signals extracted from session-based activity, which signals can be used to infer the intended workflow of the user and whether or not that workflow was achieved. The expressed user sentiment is considered along with other historical or session-based user data to generate tailored questions and responses to be delivered in real-time to the user. The responses are displayed to the user along with information that routes the user to a workflow resolution.

Abstract: A preliminary software feature is applied in a testing rollout to a discrete subset of customers. Survey data may be collected from those customers through a variety of sources, such as chatbot text, session workflow, historical user data, social media data, email survey data, user profile data, messaging threads, and the like. This survey data is analyzed using machine learning algorithms to derive the meaning of input text as well as to determine the user sentiment expressed therein. The outputs of this analysis are normalized across sources and aggregated at a feature-level to generate overall metrics of customer satisfaction with the feature. A holistic analysis is performed on this customer sentiment data to obtain an aggregate or combined user satisfaction score. This score is applied against a set of guardrails to determine whether to ship the feature to a broader customer base.

Abstract: Systems and methods are provided for receiving a request for services in a given location from a client device operated by a user and generating a set of features based on information included in the request for services in the given location. The systems and methods further provide for analyzing the set of features using a machine learning model to predict whether only services that can be instantly booked should be provided in response to the request for services in the given location, analyzing a prediction output by the machine learning model to determine that only services that can be instantly booked should be provided in response to the request for services in the given location, and generating a list with only services that can be instantly booked.

Abstract: A text-based real-time communication interface, such as a chatbot, is presented to a user for the exchange of customer support information. A user's freeform text input is analyzed using machine learning algorithms to derive the meaning of the input text as well as to determine the user sentiment expressed therein. These determinations may be further supported by signals extracted from session-based activity, which signals can be used to infer the intended workflow of the user and whether or not that workflow was achieved. The expressed user sentiment is considered along with other historical or session-based user data to generate tailored questions and responses to be delivered in real-time to the user. The responses are displayed to the user along with information that routes the user to a workflow resolution.

Abstract: Message display control means updates and displays messages sequentially on a message list screen each time message receiving means receives a message. When input detection means detects a response message, identification means identifies the latest message at the time of detection and the response message. Response message sending means sends the response message as a response to the identified message to other participants upon completion of input of the response message. Therefore, even in the case where the message list screen is updated due to receiving the subsequent message during the input of the response message, the completed response message is able to be sent back to the response object message.

Abstract: Systems and methods for empirical expert determination and question and answer routing are provided. They system collects location tracking data about each user and analyzes the location tracking data to empirically determine the level of expertise a particular user has for a specific venue/event or a specific geographic region at a particular scale on a map. The system receives questions about a specific venue/event or about a category of venue/event in a specific geographic region at a particular scale on a map and routes those questions in real time to one or more experts for the specific venue/event or the category of venue/event in the specific geographic region. The system receives a response to the question from at least one of the one or more experts and routes the response back to the requestor, also in real time. The system also efficiently represents the location of a plurality of venues/events and/or users within a specific geographic region on a displayed map at a plurality of scales of the map.

Abstract: Systems and methods are provided for generating a first trained machine learning model, the first machine learning model comprising a plurality of hard layers for learning correlations between listing features and a plurality of soft layers, each soft layer for learning correlations for a prespecified listing feature. The systems and methods further provide for analyzing, using the first trained machine learning model, each of a plurality of price changes and price independent listing features for the first listing to determine a predicted value for each of a prespecified price dependent listing feature for each of the plurality of price changes for the first listing and generating, using the first trained machine learning model, the predicted value for each of the prespecified price dependent listing features for each of the plurality of price changes for the first listing.

Abstract: A presentation service generates an audience interface for an electronic presentation. The audience interface may simulate an in-person presentation, including features such as a central presenter and seat locations for audience members. The audience members may select emotes which may be displayed in the audience interface. The emotes may indicate the audience members' opinion of the content being presented. The presentation service may enable chats between multiple audience members, grouping of audience members private rooms, and other virtual simulations of functions corresponding to in-person presentations.