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    • 2. 发明申请
    • METHOD FOR DETERMINING INTERPERSONAL RELATIONSHIP INFLUENCE INFORMATION USING TEXTUAL CONTENT FROM INTERPERSONAL INTERACTIONS
    • 使用人际交往中的文本内容来确定人际关系影响信息的方法
    • US20130013706A1
    • 2013-01-10
    • US13594963
    • 2012-08-27
    • Ajay K. GuptaRohit M. LotlikarAngshu Rai
    • Ajay K. GuptaRohit M. LotlikarAngshu Rai
    • G06F15/16
    • G06Q10/10
    • A computer-implemented method determines interpersonal relationship influence information between participants in an interaction channel that includes inputting an interaction text response of communication by a participant made in an interaction channel. A type of influence relation of the interaction text response is determined on at least one other participant in the interaction channel based on relational descriptors. An influence score value for the interaction text response is determined, where the influence score value indicates how strongly the interaction text response influences the at least one other participant in the interaction channel. A pair-wise indication of a direction of influence of at least two participants in the interaction channel is determined. Interpersonal relationship influence information is output for the interaction text response for a participant pair in the interaction channel.
    • 计算机实现的方法确定交互频道中的参与者之间的人际关系影响信息,其包括输入由交互频道中的参与者进行的通信的交互文本响应。 基于关系描述符,在交互通道中的至少一个其他参与者确定交互文本响应的一种影响关系。 确定交互文本响应的影响分数值,其中影响分数值指示交互文本响应对交互信道中的至少一个其他参与者的影响程度如何。 确定交互通道中至少两个参与者的影响方向的成对指示。 针对交互通道中的参与者对的交互文本响应输出人际关系影响信息。
    • 3. 发明申请
    • SYSTEM AND METHOD FOR DETERMINING INTERPERSONAL RELATIONSHIP INFLUENCE INFORMATION USING TEXTUAL CONTENT FROM INTERPERSONAL INTERACTIONS
    • 使用人际交往中的文本内容来确定人际关系影响信息的系统和方法
    • US20130013680A1
    • 2013-01-10
    • US13177998
    • 2011-07-07
    • Ajay K. GuptaRohit M LotlikarAngshu Rai
    • Ajay K. GuptaRohit M LotlikarAngshu Rai
    • G06F15/16
    • G06Q10/10
    • A non-transitory computer storage medium stores a method that determines interpersonal relationship influence information between participants in an interaction channel that includes inputting an interaction text response of communication by a participant made in an interaction channel. A type of influence relation of the interaction text response is determined on at least one other participant in the interaction channel based on relational descriptors. An influence score value for the interaction text response is determined, where the influence score value indicates how strongly the interaction text response influences the at least one other participant in the interaction channel. A pair-wise indication of a direction of influence of at least two participants in the interaction channel is determined. Interpersonal relationship influence information is output for the interaction text response for a participant pair in the interaction channel.
    • 非暂时计算机存储介质存储确定交互通道中的参与者之间的人际关系影响信息的方法,其包括输入由交互通道中的参与者进行的通信的交互文本响应。 基于关系描述符,在交互通道中的至少一个其他参与者确定交互文本响应的一种影响关系。 确定交互文本响应的影响分数值,其中影响分数值指示交互文本响应对交互信道中的至少一个其他参与者的影响程度如何。 确定交互通道中至少两个参与者的影响方向的成对指示。 针对交互通道中的参与者对的交互文本响应输出人际关系影响信息。
    • 8. 发明授权
    • High availability data replication of smart large objects
    • 智能大对象的高可用性数据复制
    • US07200620B2
    • 2007-04-03
    • US10674149
    • 2003-09-29
    • Ajay K. Gupta
    • Ajay K. Gupta
    • G06F12/00G06F17/30
    • G06F17/30575Y10S707/99952
    • In a database, a high availability data replicator (28, 46, 48) synchronizes primary and secondary servers (10, 30). A smart large object application program interface (82) resides on the secondary server (30). A cache module (108) creates a memory cache (88) corresponding to a smart large object responsive to a smart large object read operation requested by a client (86). A smart large object read module (110) executes the read operation without acquiring a lock on the corresponding smart large object. An exception module (102) sends an exception to the client (86) responsive to a synchronizing event of the high availability data replicator (28, 46, 48) modifying said smart large object. On the primary server (10), log entries of the modifying operation are ordered so that a log entry updating a large object header of said smart large object is consistent immediately upon execution on the secondary server (30).
    • 在数据库中,高可用性数据复制器(28,46,48)同步主服务器(10,30)。 智能大对象应用程序接口(82)驻留在辅助服务器(30)上。 缓存模块(108)响应于由客户机(86)请求的智能大对象读取操作,创建对应于智能大型对象的存储器高速缓存(88)。 智能大对象读取模块(110)执行读取操作而不获取相应智能大对象上的锁定。 响应于修改所述智能大对象的高可用性数据复制器(28,46,48)的同步事件,异常模块(102)向客户机(86)发送异常。 在主服务器(10)上,修改操作的日志条目被排序,使得更新所述智能大对象的大对象头的日志条目在辅助服务器(30)上执行时立即一致。