Finding Related Articles for a Content Stream Using Iterative Merge-Split Clusters

    公开(公告)号:US20170193074A1

    公开(公告)日:2017-07-06

    申请号:US14985302

    申请日:2015-12-30

    Applicant: Yahoo! Inc.

    Abstract: Software generates an article signature for each article in a plurality of articles. The software initializes a clustering algorithm with a plurality of initial clusters that are non-overlapping. A centroid signature is generated for each initial cluster from the article signatures of the articles in the initial cluster. The software performs a succession of alternating merges and splits using the centroid signatures to create a plurality of non-overlapping coherent clusters from the plurality of initial clusters. The software identifies an article that is related to a specific article by mapping the article signature for the specific article to the centroid signature for at least one coherent cluster and comparing that article signature to the article signatures of the articles in the coherent cluster, using at least one similarity measure. The software displays the specific article and the related article in proximity to each other in a content stream.

    SYSTEM AND METHOD FOR CONTEXTUAL MAIL RECOMMENDATIONS

    公开(公告)号:US20170099244A1

    公开(公告)日:2017-04-06

    申请号:US15289637

    申请日:2016-10-10

    Applicant: YAHOO! INC.

    CPC classification number: H04L51/12 H04L51/16 H04L51/22

    Abstract: An email system that enables users to request for and receive recommended messages which are relevant and contextually related to a received message via activation of a user interface element is disclosed. When a message is received, it is analyzed and keywords relevant to the received message along with named entities comprised in the received message are retrieved and stored. Upon activation of a user interface element, the relevant keywords are employed to retrieve other similar messages which are grouped into clusters. The clusters are further ranked based on their relevance to the received message and the top ranked messages from the most relevant cluster are selected for display to the user as the messages that are contextually relevant to the received message. The email system also facilitates execution of batch operations on the contextually relevant messages.

    System and method for contextual mail recommendations
    3.
    发明授权
    System and method for contextual mail recommendations 有权
    用于上下文邮件推荐的系统和方法

    公开(公告)号:US09467409B2

    公开(公告)日:2016-10-11

    申请号:US13909534

    申请日:2013-06-04

    Applicant: Yahoo! Inc.

    CPC classification number: H04L51/12 H04L51/16 H04L51/22

    Abstract: An email system that enables users to request for and receive recommended messages which are relevant and contextually related to a received message via activation of a user interface element is disclosed. When a message is received, it is analyzed and keywords relevant to the received message along with named entities comprised in the received message are retrieved and stored. Upon activation of a user interface element, the relevant keywords are employed to retrieve other similar messages which are grouped into clusters. The clusters are further ranked based on their relevance to the received message and the top ranked messages from the most relevant cluster are selected for display to the user as the messages that are contextually relevant to the received message. The email system also facilitates execution of batch operations on the contextually relevant messages.

    Abstract translation: 公开了一种电子邮件系统,其使得用户能够通过激活用户界面元素来请求和接收与所接收的消息相关和相关的推荐消息。 当接收到消息时,将分析与接收到的消息相关的关键字以及包含在接收到的消息中的命名实体,并且存储。 在激活用户界面元素时,使用相关关键词来检索被分组成簇的其他类似消息。 基于它们与接收到的消息的相关性进一步对集群进行排名,并且选择来自最相关集群的排名最高的消息,以作为与接收到的消息上下文相关的消息向用户显示。 电子邮件系统还有助于在上下文相关消息上执行批处理操作。

    SYSTEM AND METHOD FOR CONTEXTUAL MAIL RECOMMENDATIONS
    4.
    发明申请
    SYSTEM AND METHOD FOR CONTEXTUAL MAIL RECOMMENDATIONS 有权
    相关邮件建议的系统和方法

    公开(公告)号:US20140359480A1

    公开(公告)日:2014-12-04

    申请号:US13909534

    申请日:2013-06-04

    Applicant: Yahoo! Inc.

    CPC classification number: H04L51/12 H04L51/16 H04L51/22

    Abstract: An email system that enables users to request for and receive recommended messages which are relevant and contextually related to a received message via activation of a user interface element is disclosed. When a message is received, it is analyzed and keywords relevant to the received message along with named entities comprised in the received message are retrieved and stored. Upon activation of a user interface element, the relevant keywords are employed to retrieve other similar messages which are grouped into clusters. The clusters are further ranked based on their relevance to the received message and the top ranked messages from the most relevant cluster are selected for display to the user as the messages that are contextually relevant to the received message. The email system also facilitates execution of batch operations on the contextually relevant messages.

    Abstract translation: 公开了一种电子邮件系统,其使得用户能够通过激活用户界面元素来请求和接收与所接收的消息相关和相关的推荐消息。 当接收到消息时,将分析与接收到的消息相关的关键字以及包含在接收到的消息中的命名实体,并且存储。 在激活用户界面元素时,使用相关关键词来检索被分组成簇的其他类似消息。 基于它们与接收到的消息的相关性进一步对集群进行排名,并且选择来自最相关集群的排名最高的消息,以作为与接收到的消息上下文相关的消息向用户显示。 电子邮件系统还有助于在上下文相关消息上执行批处理操作。

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