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    • 1. 发明授权
    • Remote GUI control by replication of local interactions
    • 通过复制本地交互来远程GUI控制
    • US08640034B2
    • 2014-01-28
    • US11560384
    • 2006-11-16
    • Lawrence D. BergmanVittorio CastelliTessa A. LauDaniel A. Oblinger
    • Lawrence D. BergmanVittorio CastelliTessa A. LauDaniel A. Oblinger
    • G06F3/00
    • H04L67/025G06F3/1454H04L41/22H04L67/38
    • Under the present invention, an illustrative feature is to provide a method and system/structure for remotely controlling multiple computer systems by interacting with GUIs. Specifically, the present invention allows a controlled computer/system to be remotely controlled via a controlling computer/system. To this extent, data/action capture instrumentation is provided on the controlling system for automatically creating a representation of content of the GUI of the controlling system, for automatically observing a set of actions performed by a user on the GUI of the controlling system, for automatically creating a representation of the observed actions, and for sending to the controlled system the representation of the observed actions. In addition, execution instrumentation is provided on the controlled system for receiving the representation and replicating the actions on the controlled system by interacting with a GUI of the controlled system.
    • 在本发明中,说明性的特征是提供一种用于通过与GUI交互来远程控制多个计算机系统的方法和系统/结构。 具体地,本发明允许受控计算机/系统通过控制计算机/系统进行远程控制。 在这种程度上,在控制系统上提供数据/动作捕获仪器,用于自动创建控制系统的GUI的内容的表示,用于自动观察由用户在控制系统的GUI上执行的一组动作,用于 自动创建观察到的动作的表示,以及向受控系统发送观察到的动作的表示。 此外,在受控系统上提供执行仪器,用于通过与受控系统的GUI交互来接收表示和复制受控系统上的动作。
    • 2. 发明授权
    • Customer self service system for resource search and selection
    • 用于资源搜索和选择的客户自助服务系统
    • US06701311B2
    • 2004-03-02
    • US09778146
    • 2001-02-07
    • Debra L. BiebesheimerDonn P. JasuraNeal M. KellerDaniel A. OblingerMark E. PodlaseckStephen J. Rolando
    • Debra L. BiebesheimerDonn P. JasuraNeal M. KellerDaniel A. OblingerMark E. PodlaseckStephen J. Rolando
    • G06F1730
    • G06F17/30864Y10S707/99933Y10S707/99935Y10S707/99945Y10S707/99952
    • A customer self service system and method for performing resource search and selection. The method includes steps of providing an interface enabling entry of a query for a resource and specification of one or more user context elements, each element representing a context associated with the current user state and having context attributes and attribute values associated therewith; enabling user specification of relevant resource selection criteria for enabling expression of relevance of resource results in terms of user context; searching a resource database and generating a resource response set having resources that best match a user's query, user context attributes and user defined relevant resource selection criteria; presenting said resource response set to the user in a manner whereby a relevance of each of the resources being expressed in terms of user context in a manner optimized to facilitate resource selection; and, enabling continued user selection and modification of context attribute values to enable increased specificity and accuracy of a user's query to thereby result in improved selection logic and attainment of resource response sets best fitted to the query. More particularly, adaptive algorithms and supervised and unsupervised learning sub-processes are implemented to enable the self service resource search and selection system to learn from each and all users and make that learning operationally benefit all users over time.
    • 用于执行资源搜索和选择的客户自助系统和方法。 该方法包括以下步骤:提供能够输入资源的查询和指定一个或多个用户上下文元素的接口,每个元素表示与当前用户状态相关联的上下文并具有与其相关联的上下文属性和属性值; 使用户能够根据用户上下文来指定相关的资源选择标准,以便能够表达资源结果的相关性; 搜索资源数据库并生成具有与用户查询,用户上下文属性和用户定义的相关资源选择标准最匹配的资源的资源响应集合; 以如下方式呈现所述资源响应集,所述方式使得根据用户上下文来表达每个资源的相关性以优化的方式来促进资源选择; 并且允许继续用户选择和修改上下文属性值,以使得用户查询的特异性和准确度增加,从而导致改进的选择逻辑和获得最适合查询的资源响应集。 更具体地,实现自适应算法和监督和无监督的学习子过程,以使得自助服务资源搜索和选择系统能够从每个和所有用户学习,并使得该学习随着时间的推移对所有用户进行操作上的益处。
    • 3. 发明授权
    • Customer self service subsystem for response set ordering and annotation
    • 客户自助服务子系统用于响应集排序和注释
    • US06785676B2
    • 2004-08-31
    • US09778139
    • 2001-02-07
    • Daniel A. Oblinger
    • Daniel A. Oblinger
    • G06F1730
    • G06F17/30997G06Q30/02G06Q30/06Y10S707/99934Y10S707/99935
    • A system and method for annotating resource results obtained in a customer self service system that performs resource search and selection. The method comprising the steps of: receiving a resource response set of results obtained in response to a current user query and receiving a user context vector associated with the current user query, the user context vector comprising data associating an interaction state with the user; applying an ordering and annotation function for mapping the user context vector with the resource response set to generate an annotated response set having one or more annotations; and, controlling the presentation of the resource response set to the user according to the annotations, wherein the ordering and annotation function is executed interactively at the time of each user query. In an off-line process, a supervised learning algorithm is implemented for receiving user interaction data from among a database of user interaction records and an annotation scoring metric representing a measure of performance in locating resource response results displayed via a graphical interface. The algorithm generates ordering and annotation functions which are adaptable based on history of user interactions as provided in the database of user interaction records. The result of this invention is the ability to drive visualization systems for presenting resource response results in the most beneficial and meaningful way to the user via an interface when performing search and resource selection. The system and method is especially applicable for a self service system in a variety of customer self service domains including education, real estate and travel.
    • 一种用于注释在执行资源搜索和选择的客户自助服务系统中获得的资源结果的系统和方法。 该方法包括以下步骤:接收响应于当前用户查询获得的结果的资源响应集合,并且接收与当前用户查询相关联的用户上下文向量,所述用户上下文向量包括将交互状态与用户相关联的数据; 应用排序和注释功能,用于将所述用户上下文矢量与所述资源响应集合进行映射以生成具有一个或多个注释的带注释的响应集合; 以及根据所述注释控制对所述用户的所述资源响应的呈现,其中所述排序和注释功能在每个用户查询时被交互地执行。 在离线过程中,实施监督学习算法,用于从用户交互记录的数据库中接收用户交互数据,以及表示在经由图形界面显示的定位资源响应结果中的性能测量的注释评分度量。 该算法基于用户交互记录的数据库中提供的用户交互历史,生成可适应性的排序和注释功能。 本发明的结果是,当执行搜索和资源选择时,可以通过接口来驱动可视化系统,以最有益和有意义的方式向用户呈现资源响应结果。 该系统和方法特别适用于各种客户自助服务领域的自助服务体系,包括教育,房地产和旅游。
    • 9. 发明授权
    • Customer self service subsystem for classifying user contexts
    • 客户自助服务子系统,用于分类用户上下文
    • US06853998B2
    • 2005-02-08
    • US09778378
    • 2001-02-07
    • Debra L. BiebesheimerNeal M. KellerDaniel A. OblingerMark E. PodlaseckStephen J. Rolando
    • Debra L. BiebesheimerNeal M. KellerDaniel A. OblingerMark E. PodlaseckStephen J. Rolando
    • G06F17/30G06F17/001
    • G06F17/30528G06F17/3053Y10S707/99934Y10S707/99935Y10S707/99936Y10S707/99942Y10S707/99943
    • A system and method for classifying user context in a customer self service system that performs resource search and selection and includes a context attribute database comprising types of user contexts and one or more context attributes associated with each user context for processing by the system, and context attribute function database comprising functions for computing values for each context attribute. The classifying system comprises a computing device for receiving a user query and a context vector comprising data associating an interaction state with the user and, processing the query and context vector against data included in the context attribute database and context attribute function database for predicting a particular user context. The classifier populates the user context vector with context parameters specifying a user interaction state for use in a subsequent resource search. The result of this invention is an ability to relieve the user of the nonproductive work of describing their context and the ability to improve the search value by including criteria derived from both data and behaviors in the general population which may be unknown to the user. The system and method is especially applicable for a self service system in a variety of customer self service domains including education, real estate and travel.
    • 一种用于对执行资源搜索和选择的客户自助服务系统中的用户上下文进行分类的系统和方法,并且包括上下文属性数据库,该上下文属性数据库包括用户上下文的类型以及与每个用户上下文相关联的一个或多个上下文属性以供系统处理, 属性函数数据库包括用于计算每个上下文属性的值的函数。 分类系统包括用于接收用户查询的计算设备和包括将交互状态与用户相关联的数据的上下文向量,以及针对包括在上下文属性数据库中的数据和上下文属性功能数据库处理查询和上下文向量以预测特定的 用户上下文。 分类器使用指定用户交互状态的上下文参数填充用户上下文向量,以用于后续资源搜索。 本发明的结果是减轻用户描述其上下文的非生产性工作的能力,以及通过在普通人群中从数据和行为导出的准则包括用户可能未知的标准来提高搜索价值的能力。 该系统和方法特别适用于各种客户自助服务领域的自助服务体系,包括教育,房地产和旅游。