Bag
    34.
    外观设计
    Bag 有权

    公开(公告)号:USD935763S1

    公开(公告)日:2021-11-16

    申请号:US29753031

    申请日:2020-09-29

    申请人: Jie Lu

    设计人: Jie Lu

    Bag
    35.
    外观设计
    Bag 有权

    公开(公告)号:USD933953S1

    公开(公告)日:2021-10-26

    申请号:US29751915

    申请日:2020-09-24

    申请人: Jie Lu

    设计人: Jie Lu

    Automated contextual information retrieval based on multi-tiered user modeling and dynamic retrieval strategy

    公开(公告)号:US09633140B2

    公开(公告)日:2017-04-25

    申请号:US13024467

    申请日:2011-02-10

    IPC分类号: G06F7/00 G06F17/30 H04L12/58

    CPC分类号: G06F17/30997 H04L51/02

    摘要: Automated contextual information retrieval techniques are provided based on multi-tiered user modeling and a dynamic retrieval strategy. Content relevant to a current message is presented by initially obtaining a multi-tiered user model containing a multi-tiered representation of interactions of a first user with each contact, wherein the multi-tiered representation includes a plurality of topic models each corresponding to interactions between the first user and one contact. The topic models contain a set of topics, each containing topic keywords. Context information is extracted based on content of the current message, a sender and/or a recipient of the current message, and the multi-tiered user model. A retrieval strategy is determined based on the extracted context information. Contextual queries are generated to search the information repositories selected based on the determined retrieval strategy. Content relevant to the current message is presented based on search results from the selected information repositories.

    Multi-tiered approach to E-mail prioritization
    38.
    发明授权
    Multi-tiered approach to E-mail prioritization 有权
    多层次的电子邮件优先排序方法

    公开(公告)号:US09152953B2

    公开(公告)日:2015-10-06

    申请号:US13525173

    申请日:2012-06-15

    IPC分类号: G06F15/18 G06Q10/10 G06N5/00

    CPC分类号: G06Q10/107 G06N5/00

    摘要: An apparatus for automating a prioritization of an incoming message, including a batch learning module that generates a global classifier based on training data that is input to the batch learning module. A feedback learning module that generates a user-specific classifier based on a plurality of feedback instances. A feature extraction module that receives the incoming message and a topic-based user model, infers a topic of the incoming message based on the topic-based user model, and computes a plurality of contextual features of the incoming message. A classification module that dynamically determines a priority classification strategy for assigning a priority level to the incoming message based on the plurality of contextual features of the incoming message and a weighted combination of the global classifier and the user-specific classifier, and classifies the incoming message based on the priority classification strategy.

    摘要翻译: 一种用于自动化进入消息的优先级的装置,包括基于输入到批量学习模块的训练数据生成全局分类器的批量学习模块。 反馈学习模块,其基于多个反馈实例生成用户特定的分类器。 一种特征提取模块,其接收所述传入消息和基于主题的用户模型,基于所述基于所述主题的用户模型推断所述传入消息的主题,并且计算所述传入消息的多个上下文特征。 一种分类模块,其基于所述输入消息的所述多个上下文特征以及所述全局分类器和所述用户特定分类器的加权组合来动态地确定用于向所述传入消息分配优先级的优先级分类策略,并且对所述传入消息进行分类 基于优先级分类策略。

    Intelligent content assistance
    39.
    发明授权
    Intelligent content assistance 有权
    智能内容协助

    公开(公告)号:US08965922B2

    公开(公告)日:2015-02-24

    申请号:US11928810

    申请日:2007-10-30

    IPC分类号: G06F17/30 G06Q10/10 G06Q30/02

    CPC分类号: G06Q10/10 G06Q30/02

    摘要: An intelligent content assistance system generates context-sensitive content recommendation during business processes. Information needs of a user in context are dynamically monitored and detected. Content-recommendation templates are retrieved to match the detected information needs, and instantiated using information from user input, context, interaction history, system-learned query and content models, and external sources. Context, interaction history, and system-learned models are dynamically updated for learning and adaptation. The system and methods are applicable to multiple domains and applications.

    摘要翻译: 智能内容帮助系统在业务流程期间生成上下文相关的内容推荐。 动态地监视和检测上下文中用户的信息需求。 检索内容推荐模板以匹配检测到的信息需求,并使用来自用户输入,上下文,交互历史,系统学习查询和内容模型以及外部来源的信息进行实例化。 动态更新语境,交互历史和系统学习模型,用于学习和适应。 系统和方法适用于多个域和应用程序。

    Method and System for Business Outcome-Based Personalized Ranking of Information Objects
    40.
    发明申请
    Method and System for Business Outcome-Based Personalized Ranking of Information Objects 审中-公开
    基于业务成果的信息对象个性化排名方法与系统

    公开(公告)号:US20140074524A1

    公开(公告)日:2014-03-13

    申请号:US13608021

    申请日:2012-09-10

    IPC分类号: G06Q10/06

    CPC分类号: G06Q10/063 G06Q50/01

    摘要: Business outcome-based personalized ranking of information objects is provided. Information objects in outcome-based business processes are ranked by recording information objects generated during a creation of the outcome-based business processes. At least one business process comprises an outcome attribute, and at least one business process comprises in-process information objects. A composite graph is generated of the information objects and business processes. Each node in the graph corresponds to an information object or a business process. Links between two information object nodes have a strength based on a content similarity and a social network distance. The in-process information object node connects to a corresponding business process node, and two business process nodes have a link if they are indicated as related in the business process information system. The information objects are ranked based on the link strengths.

    摘要翻译: 提供了基于业务成果的信息对象个性化排序。 基于结果的业务流程中的信息对象通过记录在创建基于结果的业务流程期间生成的信息对象进行排名。 至少一个业务流程包括结果属性,并且至少一个业务流程包括进程内信息对象。 生成信息对象和业务流程的复合图。 图中的每个节点对应于信息对象或业务流程。 两个信息对象节点之间的链接具有基于内容相似性和社交网络距离的强度。 进程内信息对象节点连接到相应的业务流程节点,并且如果业务流程信息系统中的相关业务流程节点被指示为两个,那么两个业务流程节点具有链路。 信息对象基于链接强度进行排名。