SURVEY ABANDONMENT PREDICTION MODEL

    公开(公告)号:US20250103946A1

    公开(公告)日:2025-03-27

    申请号:US18472887

    申请日:2023-09-22

    Abstract: An embodiment senses a survey sequence, responsive to the sensed survey sequence, inputs the sensed survey sequence into a prediction model. The embodiment comprises a prediction model wherein the prediction model comprises training a hidden Markov model on a previously administered survey with a corresponding response status as a hidden status and a corresponding linguistic metric as an observation. The embodiment computes a probability of a response status of the sensed survey sequence as an output of the prediction model based at least in part on the previously administered survey.

    Summarizing multi-modal conversations in a multi-user messaging application

    公开(公告)号:US12205587B2

    公开(公告)日:2025-01-21

    申请号:US17714639

    申请日:2022-04-06

    Abstract: An embodiment of a summarization application divides collected conversation data into media and text components. The application implements respective machine learning mechanisms to enhance modeling operations of the text and media components to identify key elements from the conversation. The application generates a headline banner from a group of key elements based on an analysis involving first predetermined criteria. The application also combines additional key elements to the group of key elements to form a second group of key elements. The application generates a summary from the second group of key elements based on a second analysis involving second predetermined criteria. The application presents, via a display, the headline banner according to a first output of the first key element analysis and the summary according to a second output of the second key element analysis.

    INCREASING EXPLAINABILITY OF DISCOURSE
    3.
    发明公开

    公开(公告)号:US20240202459A1

    公开(公告)日:2024-06-20

    申请号:US18067937

    申请日:2022-12-19

    CPC classification number: G06F40/40 G06F16/3329

    Abstract: According to one embodiment, a method, computer system, and computer program product for explaining discourse is provided. The embodiment may include identifying one or more skill levels for one or more users. The embodiment may also include identifying a complexity level corresponding to a piece of content. The embodiment may further include determining an explanation level for the piece of content based on the complexity level of the piece of content and a target skill level from the one or more skill levels. The embodiment may also include generating an explanation for the piece of content according to the explanation level. The embodiment may further include providing the explanation to a target user.

    RESPONSE QUALIFICATION MONITORING IN REAL-TIME CHATS

    公开(公告)号:US20220166730A1

    公开(公告)日:2022-05-26

    申请号:US17100888

    申请日:2020-11-22

    Abstract: Disclosed are techniques to model when authoritative responses are expected to be received in real-time chat dialogues to facilitate monitoring a live real-time chat and connect a participant to provide an authoritative answer at an appropriate time during the live real-time chat. Historical real-time chat dialogues are used to generate a model for when authoritative responses are expected in real-time chats. A live real-time chat is monitored for an ongoing discussion without an authoritative response, and a response latency window of the model for the live real-time chat is adjusted based on the ongoing discussion in the live real-time chat. In some embodiments, upon entering an optimal window of the ongoing discussion of the live real-time chat indicated by the model where it is determined that no authoritative response is yet received, a new participant is connected to the live real-time chat to provide an authoritative response.

    Managing bystander effects in electronic communications

    公开(公告)号:US11329838B2

    公开(公告)日:2022-05-10

    申请号:US16813485

    申请日:2020-03-09

    Abstract: Bystander effect management can include determining a likelihood of a bystander effect on at least one chat participant engaging in a chat discourse over an electronic communications network. The likelihood can be determined by a bystander effect perception (BEP) model generated based on collaboration interaction metrics derived from prior discourses conducted over the electronic communications network by a chat group. A bystander effect reaction (BER) can be generated in response to determining that the likelihood of the bystander effect exceeds a predetermined threshold, the BER being determined based on the BEP model to be more likely than not to enhance collaboration among at least some chat participants engaging in the chat discourse. A notification based on the BER can be conveyed to one or more chat participants engaging in the chat discourse over the electronic communications network.

    SUMMARIZING MULTI-MODAL CONVERSATIONS IN A MULTI-USER MESSAGING APPLICATION

    公开(公告)号:US20210383799A1

    公开(公告)日:2021-12-09

    申请号:US16896611

    申请日:2020-06-09

    Abstract: An embodiment of a summarization application divides collected conversation data into media and text components. The application implements respective machine learning mechanisms to enhance modeling operations of the text and media components to identify key elements from the conversation. The application generates a headline banner from a group of key elements based on an analysis involving first predetermined criteria. The application also combines additional key elements to the group of key elements to form a second group of key elements. The application generates a summary from the second group of key elements based on a second analysis involving second predetermined criteria. The application presents, via a display, the headline banner according to a first output of the first key element analysis and the summary according to a second output of the second key element analysis.

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