Method, device and system for providing language service
    1.
    发明授权
    Method, device and system for providing language service 有权
    用于提供语言服务的方法,设备和系统

    公开(公告)号:US09128930B2

    公开(公告)日:2015-09-08

    申请号:US14563939

    申请日:2014-12-08

    摘要: A method, device and system for providing a language service are disclosed. In some embodiments, the method is performed at a computer system having one or more processors and memory for storing programs to be executed by the one or more processors. The method includes receiving a first message from a client device. The method includes determining if the first message is in a first language or a second language different than the first language. The method includes translating the first message into a second message in the second language if the first message is in the first language. The method includes, alternatively, generating a third message in the second language if the first message is in the second language, where the third message includes a conversational response to the first message. The method further includes returning one of the second message and the third message to the client device.

    摘要翻译: 公开了一种用于提供语言服务的方法,设备和系统。 在一些实施例中,该方法在具有一个或多个处理器的计算机系统和用于存储要由一个或多个处理器执行的程序的存储器中执行。 该方法包括从客户端设备接收第一消息。 该方法包括确定第一消息是否处于与第一语言不同的第一语言或第二语言。 该方法包括:如果第一消息是第一语言,则将第一消息转换成第二语言的第二消息。 如果第一消息是第二语言,则该方法包括或者以第二语言生成第三消息,其中第三消息包括对第一消息的会话响应。 该方法还包括将第二消息和第三消息中的一个返回到客户端设备。

    Invitation behavior prediction method and apparatus, and storage medium

    公开(公告)号:US11449766B2

    公开(公告)日:2022-09-20

    申请号:US16387705

    申请日:2019-04-18

    摘要: In a method for invitation behavior prediction, group behavior feature information of a first user of a group is obtained. In addition, group relationship feature information of a second user is obtained. Further, group architecture information of the group, the group behavior feature information of the first user, and the group relationship feature information of the second user are input to an invitation prediction model, to obtain a target member user and a candidate invitation user of the target member user. The invitation prediction model is obtained by training the invitation prediction model based on a plurality of sample groups in a training set, and group relationship feature information of associated users of member users in the plurality of sample groups. Invitation prediction information is sent to the target member user to prompt the target member user to add the candidate invitation user to the group.

    Interest tag determining method, computer device, and storage medium

    公开(公告)号:US11226991B2

    公开(公告)日:2022-01-18

    申请号:US16452914

    申请日:2019-06-26

    发明人: Hang Kong Hao Ye

    IPC分类号: G06F16/28

    摘要: Disclosed are interest tag determining method and device for accurately promoting information for users in a group based on interest tags of the group. This includes obtaining a group identifier and a corresponding group name, obtaining user identifiers corresponding to the group identifier and first user contents of the user identifiers, concatenating the first user contents of the user identifiers corresponding to the group identifier to obtain a first group content of the group identifier, calculating probabilities that the first group content is under the topic identifiers, and determining interest tags of the group identifier according to the probabilities that the first group content is under the topic identifiers and an association relationship between the topic identifiers and the interest tags that is determined through pre-training.

    INTEREST TAG DETERMINING METHOD, COMPUTER DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20190317950A1

    公开(公告)日:2019-10-17

    申请号:US16452914

    申请日:2019-06-26

    发明人: Hang Kong Hao Ye

    IPC分类号: G06F16/28 G06N7/00

    摘要: Disclosed are interest tag determining method and device for accurately promoting information for users in a group based on interest tags of the group. This includes obtaining a group identifier and a corresponding group name, obtaining user identifiers corresponding to the group identifier and first user contents of the user identifiers, concatenating the first user contents of the user identifiers corresponding to the group identifier to obtain a first group content of the group identifier, calculating probabilities that the first group content is under the topic identifiers, and determining interest tags of the group identifier according to the probabilities that the first group content is under the topic identifiers and an association relationship between the topic identifiers and the interest tags that is determined through pre-training.

    INVITATION BEHAVIOR PREDICTION METHOD AND APPARATUS, AND STORAGE MEDIUM

    公开(公告)号:US20190244115A1

    公开(公告)日:2019-08-08

    申请号:US16387705

    申请日:2019-04-18

    IPC分类号: G06N5/02 G06F16/28

    摘要: In a method for invitation behavior prediction, group behavior feature information of a first user of a group is obtained. In addition, group relationship feature information of a second user is obtained. Further, group architecture information of the group, the group behavior feature information of the first user, and the group relationship feature information of the second user are input to an invitation prediction model, to obtain a target member user and a candidate invitation user of the target member user. The invitation prediction model is obtained by training the invitation prediction model based on a plurality of sample groups in a training set, and group relationship feature information of associated users of member users in the plurality of sample groups. Invitation prediction information is sent to the target member user to prompt the target member user to add the candidate invitation user to the group.

    Method and system for presenting a listing of message logs

    公开(公告)号:US10142279B2

    公开(公告)日:2018-11-27

    申请号:US14963550

    申请日:2015-12-09

    发明人: Hao Ye

    IPC分类号: G06F15/16 H04L12/58 H04L29/08

    摘要: A computing device with processor(s) and memory obtains user-specific models corresponding to a user of the computing device, where the user-specific models are configured to determine respective listing priorities for message logs based on a respective set of parameters generated based at least in part on previous behavioral data corresponding to the user. The computing device obtains a request from the user to display a listing of message logs with message logs of at least two distinct message types. In response to obtaining the request, the computing device: determines listing priorities for the message logs in the listing of message logs according to user-specific models corresponding to the least two distinct message types; determines a presentation order for the listing of message logs based on the determined listing priorities and a prioritization preference of the user; and presents the listing of message logs in the determined presentation order.