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    • 1. 发明授权
    • Assisted clustering
    • 辅助聚类
    • US08359279B2
    • 2013-01-22
    • US12787945
    • 2010-05-26
    • Danyel A. FisherSumit BasuSteven DruckerGonzalo A. RamosHao Lu
    • Danyel A. FisherSumit BasuSteven DruckerGonzalo A. RamosHao Lu
    • G06N5/00
    • G06F17/30994G06Q30/0631
    • Assisted clustering systems and methods are described herein that provide a user interface by which a user can easily create clusters and selectively associate data items with such clusters. Information regarding data item-cluster associations made by the user is processed by a recommendation engine to learn a clustering model. The clustering model is then be used to generate recommendations for the user regarding which unassociated data items should be associated with which clusters. In certain embodiments, after the user has determined that the clustering model is performing at a satisfactory level based on the quality of the recommendations, the user can cause the system to automatically cluster a large quantity of remaining unassociated data items. In accordance with further embodiments, a user can specify arbitrary data item types for clustering as well as features of such data types that should be considered in generating the clustering model.
    • 本文描述了辅助集群系统和方法,其提供用户界面,通过该界面,用户可以容易地创建集群并且选择性地将数据项与这些集群相关联。 关于由用户进行的数据项集群关联的信息由推荐引擎处理以学习聚类模型。 然后,聚类模型用于为用户生成与哪些不相关的数据项应与哪个集群相关联的建议。 在某些实施例中,在用户基于建议的质量确定聚类模型正在令人满意的级别之后,用户可以使系统自动聚集大量剩余的未关联的数据项。 根据进一步的实施例,用户可以指定用于聚类的任意数据项类型以及在生成聚类模型时应考虑的这些数据类型的特征。
    • 5. 发明授权
    • Ordering personal information using social metadata
    • 使用社会元数据订购个人信息
    • US07720916B2
    • 2010-05-18
    • US11363885
    • 2006-02-28
    • Danyel A. FisherAlice Jane Bernheim BrushAndrew W. JacobsMarc A. SmithCarman G. Neustaedter
    • Danyel A. FisherAlice Jane Bernheim BrushAndrew W. JacobsMarc A. SmithCarman G. Neustaedter
    • G06F15/16
    • G06Q10/107
    • A unique system, method, and user interface that facilitate ordering personal items based on past personal interaction between a user and the user's correspondents are provided. In particular, the system provides alternative views of information, such as messages, that is organized around people using an ordering based on the history of communication between the recipient and sender. Social metrics can be calculated based on social metadata associated with the messages, for example. Metrics can be used to configure how or which messages are viewed and their order in one or more pane views. Each pane view can present different orderings of messages—which are displayed by the recipient or sender of the message. So for instance, instead of viewing messages in chronological receipt date, they can be viewed by the message's sender and ordered by the number of messages previously sent to the user.
    • 提供了一种独特的系统,方法和用户界面,其便于基于用户和用户的记者之间的过去个人交互来订购个人物品。 特别地,系统提供了基于在接收者和发送者之间的通信历史的使用基于人的人群组织的诸如消息之类的信息的备选视图。 例如,可以基于与消息相关联的社会元数据来计算社交指标。 度量标准可用于配置在一个或多个窗格视图中查看哪些消息和哪些消息及其顺序。 每个窗格视图都可以呈现消息的不同顺序 - 消息的接收者或发送者显示消息。 所以,例如,不是按时间顺序收到消息,而是可以通过消息的发送者查看消息,并按先前发送给用户的消息数排序。