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    • 1. 发明申请
    • Network System
    • 网络系统
    • US20110066677A1
    • 2011-03-17
    • US12846145
    • 2010-07-29
    • Hiroshi SaitoYukio OgawaYuki KimuraKunihito Uchida
    • Hiroshi SaitoYukio OgawaYuki KimuraKunihito Uchida
    • G06F15/16
    • H04L67/125H04L41/00H04L41/12H04L43/0817
    • A network system including a management device with both a status managing unit for collecting status information on a terminal status and a terminal instructing unit for transmitting a shift start message to the terminal to make transfer data to the server on the basis of the status information collected by the status managing unit. The terminal includes a determining unit for determining data transfer in response to the shift start message, a data transferring unit for transferring the data to the server when the determining unit determines the data transfer, a storage device control unit for erasing the data from a storage device after completion of data transfer, and a thin client shifting unit for causing the terminal to function as a thin client after erasure of data.
    • 一种网络系统,包括具有用于收集关于终端状态的状态信息的状态管理单元的管理装置和用于向所述终端发送移动开始消息的终端指示单元,以根据所收集的状态信息向所述服务器发送数据 由状态管理单位。 终端包括用于响应于移动开始消息确定数据传送的确定单元,用于当确定单元确定数据传送时将数据传送到服务器的数据传送单元,用于从存储器中擦除数据的存储设备控制单元 数据传输完成后的设备,以及用于在擦除数据之后终端用作瘦客户机的瘦客户机移位单元。
    • 2. 发明申请
    • COLLABORATIVE FILTERING SYSTEM AND COLLABORATIVE FILTERING METHOD
    • 协同过滤系统和协同过滤方法
    • US20120239604A1
    • 2012-09-20
    • US13512368
    • 2009-12-18
    • Sayaka YoshizuYoshinori YokoyamaNaoki IharaYuki Kimura
    • Sayaka YoshizuYoshinori YokoyamaNaoki IharaYuki Kimura
    • G06N5/02
    • G06F17/30699G06F17/30029
    • When there are no evaluation values from a user who has evaluated both contents X and Z, an indirect similarity calculation unit 32 of an arithmetic processing unit 30 of an information processing center 10a indirectly calculates the similarity between the contents X and Z using evaluation values of a content Y whose evaluation value is present from a user who has evaluated both the contents X and Y and whose evaluation value is present from a user who has evaluated both the contents Y and Z. A predicted evaluation value calculation unit 33 calculates a predicted evaluation value from a user who has not evaluated either of the contents X and Z using the similarity between the contents X and Z calculated by the indirect similarity calculation unit 32 and the evaluation values of the contents X and Z. Thus, it is possible to calculate the predicted evaluation values of the contents X and Z which are not directly calculable. Therefore, it becomes possible to further expand the range of contents whose evaluation values are predictable through collaborative filtering.
    • 当不具有对内容X和Z两者进行评估的用户的评价值时,信息处理中心10a的算术处理部30的间接相似度计算部32使用评价值间接计算内容X与Z之间的相似度 从评估了内容X,Y两者的评价值的评价值和从评价了内容Y,Z两者的评价值出发的评价值的内容Y,预测评价值计算部33计算预测评价 使用由间接相似度计算单元32计算出的内容X和Z之间的相似度以及内容X和Z的评估值未评估内容X和Z中的任何一个的用户的值。因此,可以计算 不能直接计算的内容X和Z的预测评价值。 因此,可以通过协同过滤进一步扩大其评估值可预测的内容的范围。
    • 3. 发明申请
    • SERVER OPERATIONAL EXPENSES COLLECTING METHOD, AND APPARATUS THEREFOR
    • 服务器运营费用的收集方法及其设备
    • US20130117770A1
    • 2013-05-09
    • US13627300
    • 2012-09-26
    • Toru MineyamaYuki Kimura
    • Toru MineyamaYuki Kimura
    • H04N21/2547H04N9/79
    • H04N21/2547G06Q30/02G06Q30/0277H04H20/81H04H60/31H04H60/46H04H60/72H04N9/79
    • Disclosed are server operational expenses collecting method and apparatus for a server which transmits via the Internet an electronic program guide to a terminal apparatus operated by a user. The server generates customer analysis information on the basis of personal information of said user inputted from said terminal apparatus and program viewing log information about a program viewed by said user on said terminal apparatus. The server generates a second electronic program guide by reorganizing a first electronic program guide in accordance with the preference of said user on the basis of the generated customer analysis information. The server provides said generated customer analysis information to an advertiser who practices an advertising campaign to said terminal apparatus. The server, in response to the provision of said customer analysis information to said advertiser, collects the expenses, in a predetermined amount, for the provision of said customer analysis information from said advertiser.
    • 公开了一种服务器的服务器运营费用收集方法和装置,其经由因特网将电子节目指南发送到由用户操作的终端设备。 服务器基于从所述终端设备输入的所述用户的个人信息和关于所述用户在所述终端设备上观看的节目的节目查看日志信息,生成客户分析信息。 服务器根据所生成的客户分析信息,根据所述用户的偏好重组第一电子节目指南,生成第二电子节目指南。 服务器向向所述终端设备执行广告活动的广告客户提供所生成的客户分析信息。 响应于向所述广告商提供所述客户分析信息,服务器以预定量收取来自所述广告商的所述客户分析信息的提供的费用。
    • 6. 发明授权
    • Collaborative filtering using evaluation values of contents from users
    • 使用用户内容的评估值进行协同过滤
    • US09087123B2
    • 2015-07-21
    • US13512368
    • 2009-12-18
    • Sayaka YoshizuYoshinori YokoyamaNaoki IharaYuki Kimura
    • Sayaka YoshizuYoshinori YokoyamaNaoki IharaYuki Kimura
    • G06F17/00G06N5/02G06F17/30
    • G06F17/30699G06F17/30029
    • When there are no evaluation values from a user who has evaluated both contents X and Z, an indirect similarity calculation unit 32 of an arithmetic processing unit 30 of an information processing center 10a indirectly calculates the similarity between the contents X and Z using evaluation values of a content Y whose evaluation value is present from a user who has evaluated both the contents X and Y and whose evaluation value is present from a user who has evaluated both the contents Y and Z. A predicted evaluation value calculation unit 33 calculates a predicted evaluation value from a user who has not evaluated either of the contents X and Z using the similarity between the contents X and Z calculated by the indirect similarity calculation unit 32 and the evaluation values of the contents X and Z. Thus, it is possible to calculate the predicted evaluation values of the contents X and Z which are not directly calculable. Therefore, it becomes possible to further expand the range of contents whose evaluation values are predictable through collaborative filtering.
    • 当不具有对内容X和Z两者进行评估的用户的评价值时,信息处理中心10a的算术处理部30的间接相似度计算部32使用评价值间接计算内容X与Z之间的相似度 从评估了内容X,Y两者的评价值的评价值和从评价了内容Y,Z两者的评价值出发的评价值的内容Y,预测评价值计算部33计算预测评价 使用由间接相似度计算单元32计算出的内容X和Z之间的相似度以及内容X和Z的评估值未评估内容X和Z中的任何一个的用户的值。因此,可以计算 不能直接计算的内容X和Z的预测评价值。 因此,可以通过协同过滤进一步扩大其评估值可预测的内容的范围。