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    • 1. 发明申请
    • CONTEXT ACTIVITY TRACKING FOR RECOMMENDING ACTIVITIES THROUGH MOBILE ELECTRONIC TERMINALS
    • 通过移动电子终端推荐活动的上下文活动跟踪
    • US20130159234A1
    • 2013-06-20
    • US13329681
    • 2011-12-19
    • Bo XingMartin SvenssonSimon Moritz
    • Bo XingMartin SvenssonSimon Moritz
    • G06N5/02G06F15/173
    • H04M1/72569H04M1/72572H04M1/72586
    • A mobile electronic terminal includes a context-activity tracking module, a recommendation module, and a user interface. The context-activity tracking module detects defined contexts, identifies associations between occurrence of the contexts and activities performed by a user of the mobile electronic terminal, and records information in a context-activity repository identifying the associations. The recommendation module identifies a present occurrence of a context that is associated with a previous performance of at least one activity identified by the information in the context-activity repository, and generates a recommendation for the at least one activity that can be performed by the user. The user interface communicates the recommendation for the at least one activity to the user, and to receive an activation response from the user. Related context activity repository nodes and methods by a mobile electronic terminal are disclosed.
    • 移动电子终端包括上下文活动跟踪模块,推荐模块和用户界面。 上下文活动跟踪模块检测定义的上下文,识别上下文的发生与由移动电子终端的用户执行的活动之间的关联,并将信息记录在识别关联的上下文活动存储库中。 推荐模块识别与由上下文活动存储库中的信息识别的至少一个活动的先前执行相关联的上下文的当前出现,并且生成可由用户执行的至少一个活动的推荐 。 用户界面将用于至少一个活动的推荐传达给用户,并且从用户接收激活响应。 公开了移动电子终端的相关上下文活动存储库节点和方法。
    • 7. 发明申请
    • CONTEXT-AWARE MOBILE SEARCH BASED ON USER ACTIVITIES
    • 基于用户活动的上下文移动移动搜索
    • US20120269116A1
    • 2012-10-25
    • US13093355
    • 2011-04-25
    • Bo XingMartin Svensson
    • Bo XingMartin Svensson
    • H04W88/02G06F17/30
    • H04L67/22G06F16/3322
    • Search processes are improved by modeling a mobile device user's context for a particular mobile search activity. Activity data characterizing usage of the mobile communications device is collected. This data may include the user's usage of the music and video player, including the types of media and specific titles, as well as activity data related to phone calls and other communications activities. The activity information is used by a predictive model to predict search parameters based on recent activity data. The predictive model can provide suggested search parameters, based on the user's recent activity as well as on search-specific user input. In some cases, the predictive model may be used to re-order the search results returned from a conventional search engine, based on the collected activity data.
    • 通过针对特定的移动搜索活动建模移动设备用户的上下文来改进搜索过程。 收集表征移动通信设备的使用的活动数据。 该数据可以包括用户对音乐和视频播放器的使用,包括媒体和特定标题的类型,以及与电话呼叫和其他通信活动相关的活动数据。 活动信息由预测模型用于基于最近的活动数据来预测搜索参数。 预测模型可以根据用户最近的活动以及针对搜索的用户输入提供建议的搜索参数。 在一些情况下,预测模型可以用于基于所收集的活动数据重新排序从常规搜索引擎返回的搜索结果。
    • 8. 发明授权
    • Generic reasoner distribution of resources using a plurality of shallow reasoners, and a predictor server
    • 使用多个浅层推理器的资源的通用推理器分布,以及预测器服务器
    • US08751420B2
    • 2014-06-10
    • US13437794
    • 2012-04-02
    • Johan HjelmTakeshi MatsumuraBo XingAndrew TonShingo Murakami
    • Johan HjelmTakeshi MatsumuraBo XingAndrew TonShingo Murakami
    • G06F15/18
    • G06N5/04
    • A method for improving distribution of resources for a reasoning system including a plurality of data sources that each generate raw data that is to be processed by shallow reasoners before being provided to other components of the reasoning system to generate high-level inferred conclusions, the method including the steps of discovering available data sources from the plurality of data sources by discovery of protocol modules executed by devices associated with each data source; collecting capability information from each protocol module for each associated device; sending the capability information to a predictor server; requesting a resource allocation plan from the predictor server; and receiving the resource allocations plan from the predictor server, the resource allocation plane identifying devices associated with the plurality of data sources for executing shallow reasoners, the devices selected based on a usage model and the capability information.
    • 一种用于改善包括多个数据源在内的推理系统的资源分配的方法,所述多个数据源在提供给推理系统的其他组件之前生成要由浅推理器处理的原始数据以产生高级推断结论,该方法 包括通过发现由与每个数据源相关联的设备执行的协议模块来发现来自多个数据源的可用数据源的步骤; 从每个协议模块收集每个相关设备的能力信息; 将能力信息发送到预测器服务器; 从预测器服务器请求资源分配计划; 以及从所述预测器服务器接收所述资源分配计划,所述资源分配计划识别与所述多个数据源相关联的用于执行浅层推理者的设备,所述设备基于使用模型和所述能力信息来选择。
    • 9. 发明授权
    • Method and system to provide priority indicating calls
    • 方法和系统提供优先级指示呼叫
    • US08774369B2
    • 2014-07-08
    • US13658744
    • 2012-10-23
    • Bo XingYi-Pin Eric Wang
    • Bo XingYi-Pin Eric Wang
    • H04M1/24H04M3/08H04M3/22H04M1/64H04M11/00
    • H04M3/436H04M3/4936H04M2203/2005H04M2203/2011H04M2203/4563H04M2203/556
    • A method implemented to provide voice calls in a network. The method comprises receiving a voice call initiation request at a caller agent, wherein the voice call initiation request is triggered by a caller initiating a voice call via a caller equipment, wherein the voice call is destined to a callee equipment communicatively coupled with the network to reach a caller, and wherein the caller agent and a callee agent interact with the caller equipment and the callee equipment respectively. The method further comprise sending a call connection message to the caller equipment, receiving an acknowledgment message from the caller equipment, and opening a voice channel between the caller and the caller agent without waiting for a callee agent response.
    • 一种实现在网络中提供语音呼叫的方法。 所述方法包括在呼叫方代理处接收语音呼叫发起请求,其中所述语音呼叫发起请求由主叫方通过呼叫者设备发起语音呼叫触发,其中所述语音呼叫指向与所述网络通信耦合的被叫设备 到达呼叫者,并且其中呼叫方代理和被叫方代理分别与呼叫者设备和被叫设备进行交互。 该方法还包括向呼叫者设备发送呼叫连接消息,从呼叫者设备接收确认消息,以及在呼叫者和呼叫方代理之间打开语音信道,而不用等待被呼叫方代理响应。