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    • 2. 发明授权
    • Providing content by using a social network
    • 通过使用社交网络提供内容
    • US08843463B2
    • 2014-09-23
    • US13254675
    • 2009-07-16
    • Simon MoritzJonas BjorkMattias LidstromJoakim Soderberg
    • Simon MoritzJonas BjorkMattias LidstromJoakim Soderberg
    • G06F17/30G06Q30/02H04L29/08
    • G06Q30/02H04L67/02H04L67/104
    • A method of providing content (130) associated with a weight-value, the content (130) previously provided to a current computer associated with a current user (116) that is represented by a first node (106) in a social network (101). The method comprises the steps of: i) enabling the current computer (216) to display the content (130), in dependence of the weight-value, ii) obtaining an input of the current user (116), iii) updating the weight-value of the content (130), in dependence of the input of the current user (116), iv) determining a receiving computer associated with a second node (107) in the social network (101), and v) providing the content (130) to the receiving computer. Corresponding computers, computer program and computer readable medium are also described.
    • 提供与权重值相关联的内容(130)的方法,先前提供给与社会网络(101)中的第一节点(106)表示的当前用户(116)相关联的当前计算机的内容(130) )。 该方法包括以下步骤:i)使当前计算机(216)根据权重值显示内容(130),ii)获得当前用户(116)的输入,iii)更新权重 根据当前用户(116)的输入,内容(130)的值,iv)确定与社交网络(101)中的第二节点(107)相关联的接收计算机,以及v)提供内容 (130)连接到接收计算机。 还描述了相应的计算机,计算机程序和计算机可读介质。
    • 3. 发明授权
    • Generation of annotation tags based on multimodal metadata and structured semantic descriptors
    • 基于多模态元数据和结构语义描述符生成注释标签
    • US08572086B2
    • 2013-10-29
    • US13145417
    • 2009-01-21
    • Joakim SoderbergJonas BjorkAndreas Fasbender
    • Joakim SoderbergJonas BjorkAndreas Fasbender
    • G06F17/30
    • G06F17/3028G06F17/30265
    • In one embodiment, a method of generating annotation tags (28) for a digital image (22) includes maintaining a library (16) of human-meaningful words or phrases organized as category entries (72) according to a number of defined image description categories (70), and receiving context metadata (20) associated with the capture of a given digital image (22). The method further includes selecting particular category entries (72-1, 72-2) as vocabulary metadata (24) for the digital image (22) by mapping the context metadata (20) into the library (16), and generating annotation tags (28) for the digital image (22) by logically combining the vocabulary metadata (24) according to a defined set of deductive logic rules (30) that are predicated on the defined image description categories (70). In another embodiment, a processing apparatus (12), such as a digital processor (18, 26) and supporting memory (14), etc., is configured to carry out the above method, or to carry out variations of the above method.
    • 在一个实施例中,生成用于数字图像(22)的注释标签(28)的方法包括根据定义的图像描述类别的数量来维护被组织为类别条目(72)的人类有意义的单词或短语的库(16) (70),以及接收与捕获给定数字图像(22)相关联的上下文元数据(20)。 该方法还包括通过将上下文元数据(20)映射到库(16)中,并且生成注释标签(22)来选择特定类别条目(72-1,72-2)作为数字图像(22)的词汇元数据(24) 通过根据定义的所述定义的图像描述类别(70)的规定的演绎逻辑规则集合(30)逻辑地组合所述词汇元数据(24),所述数字图像(22)用于数字图像(22)。 在另一个实施例中,诸如数字处理器(18,26)和支持存储器(14)等的处理设备(12)被配置为执行上述方法,或者执行上述方法的变型。
    • 4. 发明授权
    • Method and apparatus for default rating estimation
    • 默认评估估算方法和装置
    • US08429175B2
    • 2013-04-23
    • US13124466
    • 2008-10-17
    • Mattias LidströmJonas BjorkJoakim Soderberg
    • Mattias LidströmJonas BjorkJoakim Soderberg
    • G06F7/08G06F17/30
    • G06Q30/02G11B27/031
    • A method of estimating a default rating of a rated dataset is provided, where the dataset comprises at least one series of ratings associated with at least one user and each series comprise ratings associated with at least two items. For a reference user and an item for which a rated value is missing the item's average rating, ir, the reference users average rating, Ru, and the datasets average rating, dr, is collected. A Poisson distribution of the reference users rating is then generated on the basis of the reference users average rating. A random Poisson rating, ur, is calculated on the basis of the Poisson distribution, and a default rating, r, is estimated by weighting the random Poisson rating on the basis of the items average rating, the users average rating and the datasets average rating.
    • 提供了估计额定数据集的默认评级的方法,其中所述数据集包括与至少一个用户相关联的至少一系列评级,并且每个系列包括与至少两个项目相关联的评级。 对于参考用户和项目的平均评级,ir,参考用户平均评级Ru和数据集平均评级dr的收集项目。 然后根据参考用户的平均评级生成参考用户评级的泊松分布。 随机泊松等级,ur是基于泊松分布计算的,默认评级r通过基于项目平均评级,用户平均评级和数据集平均评级对随机泊松评级进行加权来估计 。
    • 5. 发明申请
    • Method and Apparatus for Default Rating Estimation
    • 用于默认评估估计的方法和装置
    • US20110208752A1
    • 2011-08-25
    • US13124466
    • 2008-10-17
    • Mattias LidströmJonas BjorkJoakim Soderberg
    • Mattias LidströmJonas BjorkJoakim Soderberg
    • G06F17/30
    • G06Q30/02G11B27/031
    • A method of estimating a default rating of a rated dataset is provided, where the dataset comprises at least one series of ratings associated with at least one user and each series comprise ratings associated with at least two items. For a reference user and an item for which a rated value is missing the item's average rating, ir, the reference users average rating, Ru, and the datasets average rating, dr, is collected. A Poisson distribution of the reference users rating is then generated on the basis of the reference users average rating. A random Poisson rating, ur, is calculated on the basis of the Poisson distribution, and a default rating, r, is estimated by weighting the random Poisson rating on the basis of the items average rating, the users average rating and the datasets average rating.
    • 提供了估计额定数据集的默认评级的方法,其中所述数据集包括与至少一个用户相关联的至少一系列评级,并且每个系列包括与至少两个项目相关联的评级。 对于参考用户和项目的平均评级,ir,参考用户平均评级Ru和数据集平均评级dr的收集项目。 然后根据参考用户的平均评级生成参考用户评级的泊松分布。 随机泊松等级,ur是基于泊松分布计算的,默认评级r通过基于项目平均评级,用户平均评级和数据集平均评级对随机泊松评级进行加权来估计 。
    • 6. 发明授权
    • Double weighted correlation scheme
    • 双重加权相关方案
    • US08626772B2
    • 2014-01-07
    • US13121214
    • 2008-09-29
    • Mattias LidstromJonas BjorkJoakim Soderberg
    • Mattias LidstromJonas BjorkJoakim Soderberg
    • G06F7/00
    • G06F17/30867
    • A method is provided for determining a correlation between a reference user and another user on the basis of two sets of ratings, where each rating is associated with a respective user. In response to a trigger, user ratings associated with the reference user and user ratings associated with the other user are collected, and all co-rated items of these two sets are correlated in the basis of an adjusted cosine correlation function which is weighted by a first and a second weighting function. The correlation is then stored and may be repeated for a plurality of users. The stored correlations may be used e.g. for ranking purposes.
    • 提供了一种用于基于两组评级来确定参考用户与另一用户之间的相关性的方法,其中每个评级与相应用户相关联。 响应于触发,收集与参考用户相关联的用户评级和与另一用户相关联的用户评级,并且这两组中的所有共同评估项目是根据调整后的余弦相关函数进行相关的, 第一和第二加权函数。 然后存储相关性并且可以针对多个用户重复相关性。 存储的相关性可以例如使用。 用于排名。
    • 7. 发明申请
    • Double Weighted Correlation Scheme
    • 双重加权相关方案
    • US20110179043A1
    • 2011-07-21
    • US13121214
    • 2008-09-29
    • Mattias LidstromJonas BjorkJoakim Soderberg
    • Mattias LidstromJonas BjorkJoakim Soderberg
    • G06F17/30
    • G06F17/30867
    • A method is provided for determining a correlation between a reference user and another user on the basis of two sets of ratings, where each rating is associated with a respective user. In response to a trigger,user ratings associated with the reference user and user ratings associated with the other user are collected, and all co-rated items of these two sets are correlated in the basis of an adjusted cosine correlation function which is weighted by a first and a second weighting function. The correlation is then stored and may be repeated for a plurality of users. The stored correlations may be used e.g. for ranking purposes.
    • 提供了一种用于基于两组评级来确定参考用户与另一用户之间的相关性的方法,其中每个评级与相应用户相关联。 响应于触发,收集与参考用户相关联的用户评级和与另一用户相关联的用户评级,并且这两组中的所有共同评估项目是根据调整后的余弦相关函数进行相关的, 第一和第二加权函数。 然后存储相关性并且可以针对多个用户重复相关性。 存储的相关性可以例如使用。 用于排名。
    • 8. 发明授权
    • Communication apparatus using biometrics
    • 使用生物识别技术的通信设备
    • US08649765B1
    • 2014-02-11
    • US13569858
    • 2012-08-08
    • Johan HjelmJoakim Soderberg
    • Johan HjelmJoakim Soderberg
    • H04M1/66
    • H04L63/0861H04W8/205H04W12/06
    • A communication apparatus for connecting to a network that requires authentication is provided. The apparatus includes a network controller for connecting to the network; a controller for controlling a connection to the network via the network controller; a sensor for obtaining biometric information of a user of the communication apparatus; and a memory for storing a subscription module applied to authentication towards the network. The subscription module includes identification information created based on biometric information of the user. In order to establish a connection to the network by use of the subscription module stored in the memory, the controller obtains biometric information of the user by use of the sensor and compares the obtained biometric information to the identification information in the subscription module.
    • 提供了一种用于连接到需要认证的网络的通信装置。 该装置包括用于连接到网络的网络控制器; 控制器,用于经由网络控制器控制到网络的连接; 用于获取通信装置的用户的生物信息的传感器; 以及用于存储应用于向网络进行认证的预订模块的存储器。 订阅模块包括基于用户的生物特征信息创建的识别信息。 为了通过使用存储在存储器中的订阅模块建立与网络的连接,控制器通过使用传感器获取用户的生物信息,并将获得的生物特征信息与订阅模块中的识别信息进行比较。
    • 9. 发明申请
    • Generation of Annotation Tags Based on Multimodal Metadata and Structured Semantic Descriptors
    • 基于多模态元数据和结构化语义描述符的生成标注
    • US20120023103A1
    • 2012-01-26
    • US13145417
    • 2009-01-21
    • Joakim SoderbergJonas BjorkAndreas Fasbender
    • Joakim SoderbergJonas BjorkAndreas Fasbender
    • G06F17/30G06N7/02
    • G06F17/3028G06F17/30265
    • In one embodiment, a method of generating annotation tags (28) for a digital image (22) includes maintaining a library (16) of human-meaningful words or phrases organized as category entries (72) according to a number of defined image description categories (70), and receiving context metadata (20) associated with the capture of a given digital image (22). The method further includes selecting particular category entries (72-1, 72-2) as vocabulary metadata (24) for the digital image (22) by mapping the context metadata (20) into the library (16), and generating annotation tags (28) for the digital image (22) by logically combining the vocabulary metadata (24) according to a defined set of deductive logic rules (30) that are predicated on the defined image description categories (70). In another embodiment, a processing apparatus (12), such as a digital processor (18, 26) and supporting memory (14), etc., is configured to carry out the above method, or to carry out variations of the above method.
    • 在一个实施例中,生成用于数字图像(22)的注释标签(28)的方法包括根据定义的图像描述类别的数量来维护被组织为类别条目(72)的人类有意义的单词或短语的库(16) (70),以及接收与捕获给定数字图像(22)相关联的上下文元数据(20)。 该方法还包括通过将上下文元数据(20)映射到库(16)中,并且生成注释标签(22)来选择特定类别条目(72-1,72-2)作为数字图像(22)的词汇元数据(24) 通过根据定义的所述定义的图像描述类别(70)的规定的演绎逻辑规则集合(30)逻辑地组合所述词汇元数据(24),所述数字图像(22)用于数字图像(22)。 在另一个实施例中,诸如数字处理器(18,26)和支持存储器(14)等的处理设备(12)被配置为执行上述方法,或者执行上述方法的变型。
    • 10. 发明申请
    • Providing Content by Using a Social Network
    • 通过使用社交网络提供内容
    • US20120005216A1
    • 2012-01-05
    • US13254675
    • 2009-07-16
    • Simon MoritzJonas BjorkMattias LidstromJoakim Soderberg
    • Simon MoritzJonas BjorkMattias LidstromJoakim Soderberg
    • G06F17/30G06F15/16
    • G06Q30/02H04L67/02H04L67/104
    • A method of providing content (130) associated with a weight-value, the content (130) previously provided to a current computer associated with a current user (116) that is represented by a first node (106) in a social network (101). The method comprises the steps of: i) enabling the current computer (216) to display the content (130), in dependence of the weight-value, ii) obtaining an input of the current user (116), iii) updating the weight-value of the content (130), in dependence of the input of the current user (116), iv) determining a receiving computer associated with a second node (107) in the social network (101), and v) providing the content (130) to the receiving computer. Corresponding computers, computer program and computer readable medium are also described.
    • 提供与权重值相关联的内容(130)的方法,先前提供给与社会网络(101)中的第一节点(106)表示的当前用户(116)相关联的当前计算机的内容(130) )。 该方法包括以下步骤:i)使当前计算机(216)根据权重值显示内容(130),ii)获得当前用户的输入(116),iii)更新权重 根据当前用户(116)的输入,内容(130)的值,iv)确定与社交网络(101)中的第二节点(107)相关联的接收计算机,以及v)提供内容 (130)连接到接收计算机。 还描述了相应的计算机,计算机程序和计算机可读介质。