Automatic quoting or forking of chats using deep learning in cloud based chat applications

    公开(公告)号:US11971917B2

    公开(公告)日:2024-04-30

    申请号:US17227781

    申请日:2021-04-12

    CPC classification number: G06F16/383 G06F16/338

    Abstract: Presented herein are techniques for a non-intruding auto quoting feature on-the-fly for chat applications based on previous conversations and effectively forking/quoting such conversations to ease the burden of the user going through all the chat history. The techniques may involve monitoring an ongoing first text communication session between a first user and at least one second user; detecting one or more salient words or phrases in the first text communication session based on the monitoring; based on the one or more salient words or phrases, identifying a second text communication session that is topically related to the first text communication session; and displaying in a user interface presented to the first user a prompt to quote relevant content from the second text communication session into the first text communication session or to fork the first user to be a participant in the second text communication session.

    AUTOMATIC QUOTING OR FORKING OF CHATS USING DEEP LEARNING IN CLOUD BASED CHAT APPLICATIONS

    公开(公告)号:US20220327285A1

    公开(公告)日:2022-10-13

    申请号:US17227781

    申请日:2021-04-12

    Abstract: Presented herein are techniques for a non-intruding auto quoting feature on-the-fly for chat applications based on previous conversations and effectively forking/quoting such conversations to ease the burden of the user going through all the chat history. The techniques may involve monitoring an ongoing first text communication session between a first user and at least one second user; detecting one or more salient words or phrases in the first text communication session based on the monitoring; based on the one or more salient words or phrases, identifying a second text communication session that is topically related to the first text communication session; and displaying in a user interface presented to the first user a prompt to quote relevant content from the second text communication session into the first text communication session or to fork the first user to be a participant in the second text communication session.

Patent Agency Ranking