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    • 33. 发明授权
    • System and method for providing answers to questions
    • 提供问题答案的系统和方法
    • US08275803B2
    • 2012-09-25
    • US12152411
    • 2008-05-14
    • Eric W. BrownDavid FerrucciAdam LallyWlodek W. Zadrozny
    • Eric W. BrownDavid FerrucciAdam LallyWlodek W. Zadrozny
    • G06F17/30G06Q30/00
    • G06F17/30684G06F17/28G06F17/30654G06F17/30675G06N5/02
    • A system, method and computer program product for providing answers to questions based on any corpus of data. The method facilitates generating a number of candidate passages from the corpus that answer an input query, and finds the correct resulting answer by collecting supporting evidence from the multiple passages. By analyzing all retrieved passages and that passage's metadata in parallel, there is generated an output plurality of data structures including candidate answers based upon the analyzing. Then, by each of a plurality of parallel operating modules, supporting passage retrieval operations are performed upon the set of candidate answers, and for each candidate answer, the data corpus is traversed to find those passages having candidate answer in addition to query terms. All candidate answers are automatically scored causing the supporting passages by a plurality of scoring modules, each producing a module score. The modules scores are processed to determine one or more query answers; and, a query response is generated for delivery to a user based on the one or more query answers.
    • 一种系统,方法和计算机程序产品,用于根据任何数据语料库提供问题的答案。 该方法有助于从语料库中生成多个候选段落来回答输入查询,并通过从多个段落收集支持证据来找到正确的结果。 通过分析所有检索到的段落和该段落的并行元数据,基于分析生成包括候选答案的输出多个数据结构。 然后,通过多个并行操作模块中的每一个,对候选答案集执行支持通道检索操作,并且对于每个候选答案,遍历数据语料库以找到除查询词之外的具有候选答案的段落。 所有候选答案被自动记分,由多个评分模块引起支撑通道,每个评分模块产生模块分数。 处理模块分数以确定一个或多个查询答案; 并且基于一个或多个查询答案生成用于递送给用户的查询响应。
    • 34. 发明授权
    • System and method for promoting the use of a selected software product having an adaptation module
    • 用于促进使用具有适配模块的选定软件产品的系统和方法
    • US07200565B2
    • 2007-04-03
    • US09836152
    • 2001-04-17
    • Sara H. BassonDimitri KanevskyWlodek W. Zadrozny
    • Sara H. BassonDimitri KanevskyWlodek W. Zadrozny
    • G06F17/30
    • G06Q30/02G06Q30/0203G06Q30/0251G06Q30/0273G06Q30/0277
    • A method for promoting use of a product having an adaptation module is provided comprising the steps of: providing sample data of a person; accessing the sample data associated with the person; using the sample data to adapt the product to the person utilizing the adaptation module of the product; making the product available to the person; tracking use of the adapted product by the selected person; storing data in the person database as tracking data associated with the selected person; obtaining feedback data from the selected person regarding the selected person's satisfaction with the product; storing the feedback data in the person database in association with the selected person; incorporating the tracking data and the feedback data associated with the selected person into an advertisement; and advertising the product.
    • 提供一种用于促进具有适配模块的产品的使用的方法,包括以下步骤:提供人的样本数据; 访问与该人相关联的样本数据; 使用样本数据将产品适应于使用产品适应模块的人员; 使产品可供人使用; 跟踪所选人的适应产品的使用情况; 将个人数据库中的数据存储为与所选择的人相关联的跟踪数据; 从所选人获取有关所选人对产品的满意度的反馈数据; 将所述反馈数据与所选择的人员相关联地存储在所述个人数据库中; 将跟踪数据和与所选择的人相关联的反馈数据合并到广告中; 并广告产品。
    • 35. 发明授权
    • System and method for supervising people with mental disorders
    • 监督精神障碍患者的制度和方法
    • US06540674B2
    • 2003-04-01
    • US09751531
    • 2000-12-29
    • Wlodek W. ZadroznyDimitri Kanevsky
    • Wlodek W. ZadroznyDimitri Kanevsky
    • A61B500
    • A61B5/1113A61B5/0002A61B5/02055A61B5/7232A61B2560/0242
    • A system and method for supervising persons with a mental illness, the method comprising the steps of acquiring sensor data related to the person and the person's environment; tracking the acquired sensor data; and recognizing changes in the sensor data indicating the occurrence of an event. The method further comprises the steps of acquiring access to an event database of stored event data entries, each event data entry comprising identification of one of the sensor means, identification of the entity being sensed by the sensor means, and allowable values for the sensor data and recommendations for assistance providing actions to be taken when the received sensor data is out of range from the allowable sensor data; and recognizing the occurrence of an incident in which the received sensor data is outside of the range of the stored allowable sensor data values.
    • 一种用于监督精神病患者的系统和方法,所述方法包括获取与人和人的环境有关的传感器数据; 跟踪获取的传感器数据; 以及识别表示事件发生的传感器数据的变化。 该方法还包括以下步骤:获取对存储的事件数据条目的事件数据库的访问,每个事件数据条目包括传感器装置之一的识别,由传感器装置感测的实体的识别以及传感器数据的允许值 以及关于当所接收的传感器数据超出允许的传感器数据超出范围时采取措施的辅助建议; 并且识别所接收的传感器数据在所存储的允许传感器数据值的范围之外的事件的发生。
    • 36. 发明授权
    • Language model adaptation via network of similar users
    • 类似用户网络的语言模型适应
    • US06484136B1
    • 2002-11-19
    • US09422383
    • 1999-10-21
    • Dimitri KanevskyCatherine G. WolfWlodek W. Zadrozny
    • Dimitri KanevskyCatherine G. WolfWlodek W. Zadrozny
    • G06F1727
    • G06F17/2765G06F17/28G10L2015/0631
    • A language recognition system, method and program product for recognizing language based input from computer users on a network of connected computers. Each computer includes at least one user based language model trained for a corresponding user for automatic speech recognition, handwriting recognition, machine translation, gesture recognition or other similar actions that require interpretation of user activities. Network computer users are clustered into classes of similar users according to user similarities such as, nationality, profession, sex, age, etc. User characteristics are collected by sensors and from databases and, then, distributed over the network during user activities. Language models with similarities among similar users on the network are identified. The language models include a language model domain, with similar language models being clustered according to their domains. Language models identified as similar are modified in response to user production activities. After modification of one language model, other identified similar language models are compared and adapted. Also, user data, including information about user activities and language model data, is transmitted over the network to other similar users. Language models are adapted only in response to similar user activities, when these activities are recorded and transmitted over the network. Language models are given a global context based on similar users that are connected together over the network.
    • 用于在连接的计算机的网络上识别来自计算机用户的基于语言的输入的语言识别系统,方法和程序产品。 每个计算机包括针对用于自动语音识别,手写识别,机器翻译,手势识别或需要解释用户活动的其他类似动作的相应用户训练的至少一个基于用户的语言模型。 网络计算机用户根据用户的相似性(如国籍,职业,性别,年龄等)将类群集群分类。用户特征由传感器和数据库收集,然后在用户活动期间通过网络进行分发。 确定网络上类似用户之间具有相似性的语言模型。 语言模型包括语言模型域,其类似的语言模型根据其域名进行聚类。 识别为类似的语言模型是针对用户生产活动进行修改的。 在修改了一种语言模型后,对其他识别的类似语言模型进行了比较和修改。 此外,包括关于用户活动的信息和语言模型数据的用户数据通过网络发送到其他类似的用户。 当这些活动通过网络记录和传输时,语言模型仅适用于响应类似的用户活动。 基于通过网络连接在一起的类似用户,给予语言模型全局上下文。
    • 37. 发明授权
    • Speaker model adaptation via network of similar users
    • 通过类似用户的网络对扬声器模型进行适配
    • US06442519B1
    • 2002-08-27
    • US09437646
    • 1999-11-10
    • Dimitri KanevskyVit V. LibalJan SedivyWlodek W. Zadrozny
    • Dimitri KanevskyVit V. LibalJan SedivyWlodek W. Zadrozny
    • G10L1506
    • G10L15/07
    • A speech recognition system, method and program product for recognizing speech input from computer users connected together over a network of computers. Speech recognition computer users on the network are clustered into classes of similar users according their similarities, including characteristics nationality, profession, sex, age, etc. Each computer in the speech recognition network includes at least one user based acoustic model trained for a particular user. The acoustic models include an acoustic model domain, with similar acoustic models being clustered according to an identified domain. User characteristics are collected from databases over the network and from users using the speech recognition system and then, distributed over the network during or after user activities. Existing acoustic models are modified in response to user production activities. As recognition progresses, similar language models among similar users are identified on the network. Update information, including information about user activities and user acoustic model data, is transmitted over the network and identified similar language models are updated. Acoustic models improve for users that are connected over the network as similar users use their respective speech recognition system.
    • 一种用于识别通过计算机网络连接在一起的计算机用户的语音输入的语音识别系统,方法和程序产品。 网络上的语音识别计算机用户根据他们的相似性(包括特征国籍,专业,性别,年龄等)聚类成类似用户的类别。语音识别网络中的每个计算机包括针对特定用户训练的至少一个基于用户的声学模型 。 声学模型包括声学模型域,根据识别的域聚类相似的声学模型。 用户特征从网络上的数据库和使用语音识别系统的用户收集,然后在用户活动期间或之后通过网络分发。 响应于用户生产活动修改现有的声学模型。 随着识别的进行,在网络上识别出类似用户之间的类似语言模型。 通过网络传输关于用户活动和用户声学模型数据的信息的更新信息,并且识别出类似的语言模型被更新。 类似用户使用他们各自的语音识别系统,通过网络连接的用户的声学模型得到改善。
    • 39. 发明授权
    • System and method for group advertisement optimization
    • 组广告优化的系统和方法
    • US07548874B2
    • 2009-06-16
    • US09422195
    • 1999-10-21
    • Dimitri KanevskyWlodek W. ZadroznyAlexander Zlatsin
    • Dimitri KanevskyWlodek W. ZadroznyAlexander Zlatsin
    • G06Q30/00
    • G06Q30/0244G06Q30/02G06Q30/0255G06Q30/0267G06Q30/0269G06Q30/0271
    • A system and method is disclosed for producing an advertisement that is optimized to a particular user or group of users for a current transaction and is presented to such users at the point of sale or transaction terminal at a public location. The transaction terminal produces current transaction data that includes customer identity, and goods/services being purchased and their prices. The current transaction data is sent to an advertisement server via a network such as the Internet. The advertisement server implements a user database device, a goods database and an advertisement database to locate an existing advertisement or create a new advertisement that is optimized according to common characteristics of the particular group. The optimized advertisement is sent to the transaction terminal for presentation to the user on a monitor or like display device or, printed on a sales receipt.
    • 公开了用于产生针对当前交易针对特定用户或用户组优化的广告的系统和方法,并且在公共位置处在销售点或交易终端处呈现给这些用户。 交易终端生成当前交易数据,其中包括客户身份,正在购买的商品/服务及其价格。 当前的交易数据经由诸如因特网之类的网络被发送到广告服务器。 广告服务器实现用户数据库设备,商品数据库和广告数据库,以定位现有广告或创建根据特定组的共同特征优化的新广告。 将优化的广告发送到交易终端以在监视器或类似显示设备上呈现给用户,或者打印在销售收据上。