公开(公告)号：US10733252B2

公开(公告)日：2020-08-04

申请号：US16024755

申请日：2018-06-30

Applicant: Microsoft Technology Licensing, LLC

Inventor： Shen Huang ,  Hu Wang ,  Zhou Jin ,  Yongzheng Zhang

IPC: G06F16/00 ,  G06F16/9535 ,  H04L29/06 ,  H04L29/08 ,  G06F16/248 ,  G06F16/2457

Abstract: In one technique, one or more search criteria associated with a first user are determined. Based on the one or more search criteria, a search of a first set of users is performed. As a result of the search, a subset of the first set of users is identified. A second set of users that have responded to messages from users in the subset is identified. Instances of attribute values of an attribute of the second set of users are aggregated to generate aggregated values, each of which corresponds to a different attribute value of the attribute values. Based on one or more of the aggregated values, content that is related to one or more attribute values that correspond to the one or more aggregated values is determined and presented to the first user.

公开(公告)号：US20190188316A1

公开(公告)日：2019-06-20

申请号：US15848929

申请日：2017-12-20

Applicant: Microsoft Technology Licensing, LLC

Inventor： Shen Huang ,  Yongzheng Zhang ,  Chi-Yi Kuan ,  Hu Wang ,  Rui Zhao ,  Zhou Jin

IPC: G06F17/30 ,  G06K9/62 ,  G06F17/27 ,  G06Q50/00

CPC classification number: G06F16/3329 ,  G06F17/27 ,  G06F17/2715 ,  G06F17/2785 ,  G06K9/6267 ,  G06Q50/01

Abstract: Method and system for identifying user expectations in question answering in an on-line social network system are described. The automated support system is configured to address the technical problem of optimization of the processing of user input submitted to a computer in the form of a natural language. The automated support system uses machine learning algorithms to automatically extract, from the user input, information indicative of the user's expectations and obtain data relevant to the input based on said information indicative of the user's expectations.

公开(公告)号：US10296530B2

公开(公告)日：2019-05-21

申请号：US15252159

申请日：2016-08-30

Applicant: Microsoft Technology Licensing, LLC

Inventor： Yi Zheng ,  Chi-Yi Kuan ,  Hu Wang ,  Rui Zhao ,  Yongzheng Zhang

IPC: G06F17/30 ,  G06F16/35 ,  G06F16/36

Abstract: A topical representative assessment system implements techniques for determining entities that are ambassadors for one or more topics. The ambassadors are determined based on content items that they have authored or content items that are otherwise attributed to them. An ambassador may be any type of entity such as a person, a company, or an organization. Machine analytics may be used to determine whether a content item corresponds to a specific topic, determine a sentiment for a content item, analyze feedback for a content item, or any combination of these.

公开(公告)号：US20200004887A1

公开(公告)日：2020-01-02

申请号：US16024755

申请日：2018-06-30

Applicant: Microsoft Technology Licensing, LLC

Inventor： Shen Huang ,  Hu Wang ,  Zhou Jin ,  Yongzheng Zhang

IPC: G06F17/30 ,  H04L29/06 ,  H04L29/08

Abstract: Techniques for expanding activity channels in an online network are provided. In one technique, one or more search criteria associated with a first user are determined. Based on the one or more search criteria, a search of a first set of users is performed. As a result of the search, a subset of the first set of users is identified. A second set of users that have responded to messages from users in the subset is identified. Instances of attribute values of an attribute of the second set of users are aggregated to generate aggregated values, each of which corresponds to a different attribute value of the attribute values. Based on one or more of the aggregated values, content that is related to one or more attribute values that correspond to the one or more aggregated values is determined and presented to the first user.

公开(公告)号：US10380150B2

公开(公告)日：2019-08-13

申请号：US15848929

申请日：2017-12-20

Applicant: Microsoft Technology Licensing, LLC

Inventor： Shen Huang ,  Yongzheng Zhang ,  Chi-Yi Kuan ,  Hu Wang ,  Rui Zhao ,  Zhou Jin

IPC: G06F16/332 ,  G06Q50/00 ,  G06F17/27 ,  G06K9/62

Abstract: Method and system for identifying user expectations in question answering in an on-line social network system are described. The automated support system is configured to address the technical problem of optimization of the processing of user input submitted to a computer in the form of a natural language. The automated support system uses machine learning algorithms to automatically extract, from the user input, information indicative of the user's expectations and obtain data relevant to the input based on said information indicative of the user's expectations.