公开(公告)号：US20160248724A1

公开(公告)日：2016-08-25

申请号：US15147684

申请日：2016-05-05

Applicant: Huawei Technologies Co., Ltd.

Inventor： Lei Chen ,  Xiangmin Zhou ,  Xiuqiang He

IPC: H04L12/58 ,  G06N7/00

CPC classification number: H04L51/34 ,  G06F17/30 ,  G06F17/30705 ,  G06N7/005 ,  G06Q50/01 ,  H04L51/32

Abstract: A social message monitoring method is implemented by receiving, from a social network server, a social message, and obtaining a theme probability vector of the social message, comparing the theme probability vector of the social message with a theme probability vector of each representative message to obtain a theme similarity, and acquiring a similarity between the social message and each representative message according to the theme similarity, and saving the social message in a message class that contains a representative message most similar to the social message, and outputting the message class to a social network client when a quantity of social messages in the message class reaches a first threshold or themes of social messages in the message class are consistent.

Abstract translation: 通过从社交网络服务器接收社交消息并获得社交消息的主题概率向量，将社交消息的主题概率向量与每个代表消息的主题概率向量进行比较，实现社交消息监控方法 获得主题相似性，并且根据主题相似性获取社交消息和每个代表消息之间的相似度，并将社交消息保存在包含与社交消息最相似的代表消息的消息类中，并将消息类别输出到 当消息类中的社交消息的数量达到第一阈值或消息类中的社交消息的主题是一致的时，社交网络客户端。

公开(公告)号：US10250550B2

公开(公告)日：2019-04-02

申请号：US15147684

申请日：2016-05-05

Applicant: Huawei Technologies Co., Ltd.

Inventor： Lei Chen ,  Xiangmin Zhou ,  Xiuqiang He

IPC: G06F15/16 ,  H04L12/58 ,  G06F17/30 ,  G06Q50/00 ,  G06N7/00

Abstract: A social message monitoring method is implemented by receiving, from a social network server, a social message, and obtaining a theme probability vector of the social message, comparing the theme probability vector of the social message with a theme probability vector of each representative message to obtain a theme similarity, and acquiring a similarity between the social message and each representative message according to the theme similarity, and saving the social message in a message class that contains a representative message most similar to the social message, and outputting the message class to a social network client when a quantity of social messages in the message class reaches a first threshold or themes of social messages in the message class are consistent.