Automated personalized identifier switching in view of closeness

    公开(公告)号:US11537654B2

    公开(公告)日:2022-12-27

    申请号:US16508911

    申请日:2019-07-11

    IPC分类号: G06F16/538 G06Q10/10

    摘要: Automated personalized identifier switching is provided for switching personalized identifiers for individuals and groups. For this purpose, a method includes determining, by a computer device, a closeness factor of a contact to a user, matching, by the computer, the determined closeness factor of the contact with an identifier having the same closeness factor stored in a database comprised of a plurality of different types of identifiers of the user, and transmitting the matched identifier from the database to the contact to display as an identifier of the user, wherein at least two of the plurality of identifiers in the database have different closeness factors from one another.

    Fence computing
    2.
    发明授权

    公开(公告)号:US11496602B2

    公开(公告)日:2022-11-08

    申请号:US16018150

    申请日:2018-06-26

    摘要: Aspects include identifying an event associated with extraction and transmission of a dataset from a data center over a network to one or more network servers and identifying a plurality of tasks associated with a plurality of users and the event. A predicted availability time of the dataset is determined for the one or more network servers based on data extraction performance from a backend data storage system of the data center. Processing is clustered of a plurality of posting requests of two or more of the users through the one or more network servers to align with the predicted availability time of the dataset.

    Enhanced action fulfillment using classification valency

    公开(公告)号:US11288299B2

    公开(公告)日:2022-03-29

    申请号:US15960921

    申请日:2018-04-24

    摘要: A method, system and computer program product for providing enhanced action fulfillment using classification valency. At least a first message from a user in a channel is analyzed, the first message containing first data of a first data type, and a classification of the first message is inferred based on the first data's content. At least a second message from the user in the channel is analyzed, the second message containing second data of a second data type different from the first data type, and a classification model of the second message is derived based on the second data's content. The classification of the first message and the classification model of the second message are used to determine whether an additional inference is available based on the classification valency. The additional inference is incorporated to determine the enhanced action fulfillment, and the enhanced action is presented to the user for fulfillment.

    Assisting users to interact with message threads on social media

    公开(公告)号:US11194876B2

    公开(公告)日:2021-12-07

    申请号:US16250499

    申请日:2019-01-17

    摘要: A method, system and computer program storage device to assist users interacting with message threads on social media. In an embodiment, the method comprises monitoring a message thread comprised of messages among a group of users on a social media platform for content that is inflammatory to one of the users; and when the inflammatory content has a defined condition, preventing the one of the users from posting messages to the message thread for a specified length of time. In an embodiment the defined condition is a defined level of the inflammatory content in the thread. In an embodiment, the defined condition is a defined increasing trend of the inflammatory content in the thread. In an embodiment, the monitoring the thread includes categorizing potentially inflammatory content into a plurality of categories, and specifying an inflammatory content level for each of the categories.

    Managing content in a collaboration environment

    公开(公告)号:US11159459B2

    公开(公告)日:2021-10-26

    申请号:US16114889

    申请日:2018-08-28

    摘要: Aspects of the present disclosure relate to managing messages within a collaboration environment. A group collaboration channel in which messages are displayed from multiple users is accessed, where the channel includes an application that provides application messages to the channel. A transcript of the channel is analyzed to determine a set of topics a user has discussed. A subset of topics is selected and a user sentiment of each topic is determined. A machine learning classification model is trained based on the selected subset of topics and the user sentiment of each topic. A message is then received from the application. Prior to displaying the message at the channel, a management category for the message is determined based on the classification model. The management category is applied to the message and the display of the message is managed based on the management category.