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    • 5. 发明申请
    • AUTOMATIC DETERMINATION OF AN ENTITY'S SEARCHABLE SOCIAL NETWORK USING ROLE-BASED INFERENCES
    • 使用基于角色的感知器自动确定实体的可搜索社交网络
    • US20100057772A1
    • 2010-03-04
    • US12200936
    • 2008-08-29
    • Dragos ManolescuErik Meijer
    • Dragos ManolescuErik Meijer
    • G06F17/30
    • G06Q30/02
    • Techniques and systems for determining a first entity's social network are provided herein. Data is extracted from one or more data sources associated with the first entity. Once data is extracted, a role of a second entity may be inferred using inference algorithms, rules, keywords, and/or tags in the data extracted. The first entity's social network may be determined by linking the first entity to the second entity and the second entity's role(s) in relation to the first entity. It will be appreciated that the first entity may also search his/her/its network and/or other entities' social networks if the first entity has been granted access by the other entities, for example. Additionally, information about entities found during the first entity's search may be added to a data source associated with the first entity.
    • 本文提供了用于确定第一实体的社交网络的技术和系统。 从与第一实体相关联的一个或多个数据源提取数据。 一旦提取了数据,可以使用提取的数据中的推理算法,规则,关键字和/或标签来推断第二实体的角色。 第一实体的社交网络可以通过将第一实体与第二实体相关联并且与第一实体相关的第二实体的角色来确定。 应当理解,例如,如果第一实体已经被其他实体的访问权限,则第一实体还可以搜索他/她/她的网络和/或其他实体的社交网络。 此外,关于在第一实体的搜索期间发现的实体的信息可以被添加到与第一实体相关联的数据源。
    • 6. 发明申请
    • SOCIAL MEDIA DRIVEN ADVERTISEMENT TARGETING
    • 社会媒体驱动广告目标
    • US20100030648A1
    • 2010-02-04
    • US12184254
    • 2008-08-01
    • Dragos ManolescuRaymond Laghaeian
    • Dragos ManolescuRaymond Laghaeian
    • G06Q30/00
    • G06Q30/02G06Q10/0637G06Q30/0269
    • Techniques and systems for selecting one or more advertisements to target (e.g., send to, display to, etc.) a user are disclosed wherein the interests of the user are inferred based on current behaviors of social media. Social media is collected and categorized according to some predetermined criteria, such as keywords or outlinks in a post. As a function of the social media collected, current topics in the social media are identified and an advertisement, or advertisements, relating to the current topics is selected. Current topics may be those topics that are more popular, for example, in the social media at the instant a user enters an ad-enabled site.
    • 公开了用于选择一个或多个广告以定向(例如,发送到,显示等)用户的技术和系统,其中基于社交媒体的当前行为来推断用户的兴趣。 社会媒体根据一些预定的标准进行收集和分类,例如一个帖子中的关键字或外链。 根据收集的社交媒体的功能,确定社交媒体当前的主题,并选择与当前主题相关的广告或广告。 当前主题可能是那些更受欢迎的主题,例如在用户进入支持广告的网站的时刻在社交媒体中。
    • 7. 发明申请
    • Social Media Guided Authoring
    • 社会媒体引导创作
    • US20100042910A1
    • 2010-02-18
    • US12193148
    • 2008-08-18
    • Dragos ManolescuMatthew F. Hurst
    • Dragos ManolescuMatthew F. Hurst
    • G06F17/00
    • G06F17/241G06F17/30867G06Q10/10
    • Techniques and systems for assisting an author in creating content for social media (e.g., blog posts, microblogs, tweets, etc.) are disclosed, wherein hints are provided to the author as a function of social media stored in a social media knowledge store. Social media is collected and stored in a social media knowledge store according to some criteria. Upon the happening of some predetermined event, for example, relevant information is retrieved from the social media knowledge store. The relevancy of information may be a function of editing context (provided by the author) and/or social media behavior, for example. The relevant information may be translated into hints that provide an author with suggestions and/or corrections, for example. This information is provided to the author through a social media environment (e.g., an authoring tool) that may be also be capable of receiving input from the author and outputting editing context.
    • 公开了用于协助作者为社交媒体创建内容(例如博客文章,微博,推文等)的技术和系统,其中作为存储在社交媒体知识存储中的社交媒体的功能,向作者提供提示。 根据一些标准,社交媒体被收集并存储在社交媒体知识库中。 在发生某些预定事件时,例如,从社交媒体知识存储器检索相关信息。 例如,信息的相关性可以是编辑上下文(由作者提供)和/或社交媒体行为的功能。 相关信息可能被翻译成提示作者提供建议和/或更正的提示。 该信息通过可能还能够从作者接收输入并输出编辑上下文的社交媒体环境(例如,创作工具)提供给作者。
    • 9. 发明申请
    • Green computing via event stream management
    • 绿色计算通过事件流管理
    • US20120102503A1
    • 2012-04-26
    • US12908715
    • 2010-10-20
    • Erik MeijerDragos Manolescu
    • Erik MeijerDragos Manolescu
    • G06F9/46
    • G06F9/5094G06F9/542Y02D10/22
    • The subject disclosure relates to resource optimization in a computing system by leveraging the asynchronous nature of event-based programming. Events arriving on respective event streams are intercepted by mechanisms as described herein that regulate the flow of events from the event stream(s) to their corresponding programs according to a desired resource usage level associated with processing of the programs. Event flow control is performed as described herein via operations on events such as buffering, queuing, desampling, aggregating, reordering. As additionally described herein, a resource usage level for a given processing entity can be determined based on considerations such as program priorities, power profiles or other resource profiles, and resource cost analysis. Further, techniques for extending input regulation as described herein to the case of load distribution among multiple processing nodes are provided.
    • 本公开涉及通过利用基于事件的编程的异步性质的计算系统中的资源优化。 到达相应事件流的事件被根据与程序的处理相关联的期望的资源使用级别将事件流从事件流转移到其对应的程序的机制来截取。 通过对诸如缓冲,排队,取样,聚集,重新排序的事件的操作来执行事件流控制。 如本文另外描述的,可以基于诸如程序优先级,功率简档或其他资源简档以及资源成本分析等考虑来确定给定处理实体的资源使用水平。 此外,提供了用于将输入调节扩展到多个处理节点之间的负载分配情况的技术。