公开(公告)号：US20220172121A1

公开(公告)日：2022-06-02

申请号：US17549231

申请日：2021-12-13

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Qiang YANG ,  Yangqiu SONG ,  Wing Ki LEUNG ,  Zhengdong LU

IPC: G06N20/00 ,  G06F16/2458 ,  G06N5/04 ,  G06N5/02

Abstract: A method for processing information by an intelligent agent and the intelligent agent, where the method comprises: a first intelligent agent sends a request message to a second intelligent agent, where the request message includes an invitation message or a recommendation message; the first intelligent agent receives a decision message fed back by the second intelligent agent, where the decision message is determined according to the invitation message or the recommendation message and a knowledge model of the second intelligent agent; and the first intelligent agent updates, according to the decision message, a knowledge model of the first intelligent agent or sends a notification message to a first user account corresponding to the first intelligent agent. By using these technical solutions, information on a social network may be learned and processed by means of interaction with another intelligent agent, thereby implementing mining of data on the social network.

公开(公告)号：US20190228070A1

公开(公告)日：2019-07-25

申请号：US16369579

申请日：2019-03-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhengdong LU ,  Shan HE ,  Qiang JIANG

IPC: G06F17/27 ,  G06N3/08 ,  G06F16/2455

Abstract: A deep learning based dialog method, apparatus, and device are provided and belong to the field of artificial intelligence. The method includes: obtaining a to-be-replied statement, encoding the to-be-replied statement to obtain a first vector , where the first vector is a representation of the to-be-replied statement; obtaining dialog history information corresponding to the to-be-replied statement, and the attention vector is used to represent search intent; making each dialog statement interact with the attention vector, so as to extract information related to the search intent from the dialog statement to obtain a plurality of result vectors, generating a to-be-decoded vector based on the plurality of result vectors, and decoding the to-be-decoded vector to obtain a next word in the reply statement. In the method, the reply statement refers to a dialog history.

公开(公告)号：US20160098437A1

公开(公告)日：2016-04-07

申请号：US14970768

申请日：2015-12-16

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhengdong LU ,  Hang LI

IPC: G06F17/30

CPC classification number: G06F16/2272 ,  G06F16/2255 ,  G06F16/24575 ,  G06F16/248 ,  G06F16/3329 ,  G06F16/3338 ,  G06F16/3344 ,  G06F16/338

Abstract: The present invention relates to the field of computer communications technologies and discloses an information retrieval method and apparatus. In this solution, even if result information does not include a retrieval keyword, a matching value between the result information and each local matching model can be determined in a local matching model set according to a retrieval keyword group and a result keyword group that is determined according to a result information group. Then, a relevance degree is obtained according to the matching value between the result information and all local matching models. Therefore, the result information that has relatively high relevance with the retrieval instruction but does not include the retrieval keyword can still be presented to a user, which improves retrieval accuracy.

Abstract translation: 本发明涉及计算机通信技术领域，并且公开了一种信息检索方法和装置。 在该解决方案中，即使结果信息不包括检索关键字，也可以在根据确定的检索关键字组和结果关键字组的本地匹配模型集中确定结果信息与每个局部匹配模型之间的匹配值 根据结果​​信息组。 然后，根据结果信息和所有局部匹配模型之间的匹配值，获得相关度。 因此，仍然可以向用户呈现与检索指令相关性高但不包括检索关键字的结果信息，这提高了检索精度。