公开(公告)号：US11797620B2

公开(公告)日：2023-10-24

申请号：US17070725

申请日：2020-10-14

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Omar Alonso ,  Martin Hentschel ,  Vasileios Kandylas ,  Thibault Sellam

IPC: G06F16/00 ,  G06F16/9535 ,  G06F16/2457 ,  G06Q50/00 ,  G06Q10/0639 ,  G06F16/958 ,  G06Q10/06

CPC classification number: G06F16/9535 ,  G06F16/24578 ,  G06F16/958 ,  G06Q10/06 ,  G06Q10/06398 ,  G06Q50/01

Abstract: Aspects of the technology described herein detect experts in social networks. Experts may be identified within social networks using social network data. A collection of topics may be compiled based on search engine behavioral data. A combination of the social network data and search engine behavioral data is utilized to score each topic within potential topics for a user. When a topic score is over a predetermined threshold, a user may be classified as an expert for that topic. Expert search interfaces may be generated for use in browsing or searching for experts within a topic.

公开(公告)号：US11481454B2

公开(公告)日：2022-10-25

申请号：US15612242

申请日：2017-06-02

Applicant: Microsoft Technology Licensing, LLC

Inventor： Serge-Eric Tremblay ,  Vasileios Kandylas ,  Omar Alonso

IPC: G06F16/00 ,  G06F16/9535 ,  G06F16/248 ,  G06F16/2457 ,  G06F16/9536 ,  G06F16/30

Abstract: Described herein are technologies relating to generating search results responsive to receipt of a query. More specifically, the query is mapped to a topic in response to receipt of a query, and social media accounts that have been labeled as being knowledgeable on the topic are identified. Messages in a message feed of the social media account that are germane to the topic are retrieved, and documents referenced (linked) in the retrieved messages are identified. These documents are positioned in a ranked list based upon the documents being referenced in the messages.

公开(公告)号：US10572524B2

公开(公告)日：2020-02-25

申请号：US15055772

申请日：2016-02-29

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Vasileios Kandylas ,  Serge-Eric Tremblay ,  Omar Alonso

IPC: G06F16/00 ,  G06F16/34 ,  G06F16/33 ,  G06F16/35

Abstract: Aspects of the technology described herein generate a comment-summary interface that can help a user find comments of interest to the user. The comment-summary interface allows a user to access comments according to topics instead of scrolling through all of the comments found in a comment section associated with a primary content, such as a news article on a website, a social post, product review, and such. Categorizing the comments into topics makes more efficient use of computer resources by avoiding the need to display comments that are not of interest to the user. The plurality of comments analyzed by aspects of the technology described herein are unstructured comments. Unstructured comments lack specific subject matter categories designated by a user or preselected by a webpage.

公开(公告)号：US10325221B2

公开(公告)日：2019-06-18

申请号：US14728440

申请日：2015-06-02

Applicant: Microsoft Technology Licensing, LLC

Inventor： Sushma Nagesh Bannur ,  Omar Alonso ,  Martin Hentschel

IPC: G06N20/00 ,  G06F16/78 ,  G06F16/907 ,  G06F16/9535

Abstract: One or more techniques and/or systems are provided for metadata tag evaluation. For example, a metadata tag, associated with content, may be identified (e.g., a hashtag #ML may be used to tag a social network post). A set of characters, within the content, may be evaluated utilizing a probability matrix and the content to identify an expanded metadata tag (e.g., an expanded hashtag “machine learning”). Descriptive content, such as websites, articles, social network posts, and/or other content associated with the expanded metadata tag, may be retrieved. A description for the metadata tag may be generated based upon the descriptive content (e.g., a definition for machine learning). In this way, the description, related metadata tags, and/or supplemental content may be provided to users having an interest in learning about the metadata tag.

公开(公告)号：US10169419B2

公开(公告)日：2019-01-01

申请号：US15013934

申请日：2016-02-02

Applicant: Microsoft Technology Licensing, LLC

Inventor： Omar Alonso ,  Karen Shiells ,  Ho John Lee ,  Chad Carson

IPC: G06F17/00 ,  G06F17/30 ,  H04L29/08 ,  G06Q30/02 ,  G06Q50/00 ,  G06Q50/30 ,  G06F17/27 ,  G06F3/0484 ,  G06F3/0481 ,  G06F3/038 ,  G06F3/0482 ,  H04L12/58 ,  G06Q10/10

Abstract: The described implementations relate to communication platforms that are provided over computer networks. One implementation provides a system that can include a storage component configured to store a plurality of communications having a common connector. The system can also include a score computation component that is configured to compute scores reflecting semantic relationships between individual communications from the plurality of communications. The system can also include a summary generation component that is configured to select one or more of the individual communications, based on the scores, and generate a summary of the common connector. The summary can represent the selected individual communications. The system can also include at least one processor configured to execute one or more of the components.

公开(公告)号：US20180067910A1

公开(公告)日：2018-03-08

申请号：US15256924

申请日：2016-09-06

Applicant: Microsoft Technology Licensing, LLC

Inventor： Omar Alonso ,  Vasileios Kandylas ,  Serge-Eric Tremblay

IPC: G06F17/24 ,  G06F17/22 ,  G06F17/27 ,  H04L12/58 ,  H04L29/08 ,  G06F17/30

Abstract: Representative embodiments disclose mechanisms to compile documents into a timeline document that tracks the evolution of a topic over time. Social media documents can be used to identify importance or popularity of linked documents (i.e., documents shared by social media in a post, tweet, etc.). A collection of social media documents is analyzed and used to identify a series of n-grams and a ranked list of linked documents. A subset of the ranked list is selected based upon similarity to the series of n-grams. The subset is then summarized and captured, along with underlying supporting data, into an entry of a timeline document. Related entries in different timeline documents can be linked to create a pivot point that allows a user to jump from one timeline to another. Timeline documents can be made available as part of a search performed by a query system.

公开(公告)号：US20160358096A1

公开(公告)日：2016-12-08

申请号：US14728440

申请日：2015-06-02

Applicant: Microsoft Technology Licensing, LLC

Inventor： Sushma Nagesh Bannur ,  Omar Alonso ,  Martin Hentschel

IPC: G06N99/00 ,  G06F17/30

CPC classification number: G06N99/005 ,  G06F17/3082 ,  G06F17/30867 ,  G06F17/30997

Abstract: One or more techniques and/or systems are provided for metadata tag evaluation. For example, a metadata tag, associated with content, may be identified (e.g., a hashtag #ML may be used to tag a social network post). A set of characters, within the content, may be evaluated utilizing a probability matrix and the content to identify an expanded metadata tag (e.g., an expanded hashtag “machine learning”). Descriptive content, such as websites, articles, social network posts, and/or other content associated with the expanded metadata tag, may be retrieved. A description for the metadata tag may be generated based upon the descriptive content (e.g., a definition for machine learning). In this way, the description, related metadata tags, and/or supplemental content may be provided to users having an interest in learning about the metadata tag.

Abstract translation: 提供用于元数据标签评估的一个或多个技术和/或系统。 例如，可以识别与内容相关联的元数据标签（例如，标签#ML可以用于标记社交网络帖子）。 可以使用概率矩阵和内容来评估内容内的一组字符以识别扩展的元数据标签（例如，扩展的主题标签“机器学习”）。 可以检索诸如网站，文章，社交网络帖子和/或与扩展的元数据标签相关联的其他内容的描述性内容。 可以基于描述内容（例如，机器学习的定义）来生成元数据标签的描述。 以这种方式，可以向有兴趣了解元数据标签的用户提供描述，相关元数据标签和/或补充内容。