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    • 31. 发明授权
    • Inferring user interests using social network correlation and attribute correlation
    • 使用社交网络相关性和属性相关性来推断用户兴趣
    • US08838688B2
    • 2014-09-16
    • US13118726
    • 2011-05-31
    • Ching-Yung LinZhen Wen
    • Ching-Yung LinZhen Wen
    • G06F15/16G06Q99/00G06Q30/00G06Q50/00G06F17/30G06Q30/02
    • G06F15/16G06F17/30867G06Q10/10G06Q30/02G06Q30/0269G06Q50/01
    • Methods and apparatus are provided for inferring user interests from both direct and indirect social neighbors. User interests are inferred from social neighbors by exploiting the correlation among multiple attributes of a user, in addition to the social correlation of an attribute among a group of users. Attributes of a user are inferred by obtaining an inferred set of attributes comprised of one or more attributes of social neighbors of the user. Thereafter, the inferred set is modified using a user attribute correlation model describing a probability that the attributes in the inferred set co-occur on the user and one or more of the social neighbors. An inference quality of the obtained attributes can optionally be obtained based on social network properties of the social neighbors. Interactions with the user and/or the social neighbors can be employed to solicit feedback to improve the one or more inferred attributes.
    • 提供了用于推断来自直接和间接社会邻居的用户兴趣的方法和装置。 除了一组用户之间的属性的社会关联之外,还通过利用用户的多个属性之间的相关性从社交邻居推断用户兴趣。 通过获得由用户的社交邻居的一个或多个属性组成的推断的属性集来推断用户的属性。 此后,使用用户属性相关模型来修改推断的集合,该模型描述了推断集中的属性在用户和一个或多个社交邻居上共同发生的概率。 所获得的属性的推理质量可以根据社交邻居的社交网络属性来任意地获得。 可以使用与用户和/或社交邻居的交互来征求反馈以改善一个或多个推断的属性。
    • 34. 发明申请
    • MEASURING THE GOODNESS OF A TOP-K DIVERSIFIED RANKING LIST
    • 测量顶级K多元排名列表的品质
    • US20130046769A1
    • 2013-02-21
    • US13213872
    • 2011-08-19
    • Jingrui HeRavi B. KonuruChing-Yung LinHanghang TongZhen Wen
    • Jingrui HeRavi B. KonuruChing-Yung LinHanghang TongZhen Wen
    • G06F17/30
    • G06F16/24578G06F16/334G06F16/9024
    • A method, system and computer program product for measuring a relevance and diversity of a ranking list to a given query. The ranking list is comprised of a set of data items responsive to the query. In one embodiment, the method comprises calculating a measured relevance of the set of data items to the query using a defined relevance measuring procedure, and determining a measured diversity value for the ranking list using a defined diversity measuring procedure. The measured relevance and the measured diversity value are combined to obtain a measure of the combined relevance and diversity of the ranking list. The measured relevance of the set of data items may be based on the individual relevance of each of the data items to the query, and the diversity value may be based on the similarities of the data items to each other.
    • 一种用于测量给定查询的排名列表的相关性和多样性的方法,系统和计算机程序产品。 排名表由一组响应于查询的数据项组成。 在一个实施例中,所述方法包括使用定义的相关度测量程序来计算所述数据项集合对所述查询的测量相关性,以及使用定义的分集测量过程来确定所述排名列表的测量分集值。 将测量的相关性和测量的多样性值组合以获得排名列表的组合相关性和多样性的度量。 所述数据集合的所测量的相关性可以基于每个数据项到查询的个体相关性,并且分集值可以基于数据项彼此的相似度。
    • 35. 发明申请
    • Inferring User Interests Using Social Network Correlation and Attribute Correlation
    • 使用社交网络相关性和属性相关性来推断用户兴趣
    • US20120311030A1
    • 2012-12-06
    • US13118726
    • 2011-05-31
    • Ching-Yung LinZhen Wen
    • Ching-Yung LinZhen Wen
    • G06F15/16
    • G06F15/16G06F17/30867G06Q10/10G06Q30/02G06Q30/0269G06Q50/01
    • Methods and apparatus are provided for inferring user interests from both direct and indirect social neighbors. User interests are inferred from social neighbors by exploiting the correlation among multiple attributes of a user, in addition to the social correlation of an attribute among a group of users. Attributes of a user are inferred by obtaining an inferred set of attributes comprised of one or more attributes of social neighbors of the user. Thereafter, the inferred set is modified using a user attribute correlation model describing a probability that the attributes in the inferred set co-occur on the user and one or more of the social neighbors. An inference quality of the obtained attributes can optionally be obtained based on social network properties of the social neighbors. Interactions with the user and/or the social neighbors can be employed to solicit feedback to improve the one or more inferred attributes.
    • 提供了用于推断来自直接和间接社会邻居的用户兴趣的方法和装置。 除了一组用户之间的属性的社会关联之外,还通过利用用户的多个属性之间的相关性从社交邻居推断用户兴趣。 通过获得由用户的社交邻居的一个或多个属性组成的推断的属性集来推断用户的属性。 此后,使用用户属性相关模型来修改推断的集合,该模型描述了推断集中的属性在用户和一个或多个社交邻居上共同发生的概率。 所获得的属性的推理质量可以根据社交邻居的社交网络属性来任意地获得。 可以使用与用户和/或社交邻居的交互来征求反馈以改善一个或多个推断的属性。
    • 36. 发明申请
    • Ranking Information Content Based on Performance Data of Prior Users of the Information Content
    • 基于信息内容的先前用户的性能数据排名信息内容
    • US20110270845A1
    • 2011-11-03
    • US12769945
    • 2010-04-29
    • Ching-Yung LinZhen Wen
    • Ching-Yung LinZhen Wen
    • G06F17/30
    • G06F17/30864
    • Methods and apparatus are provided for ranking information content based on performance data of prior users of the information content. Information content is ranked by receiving a search request specifying search criteria; identifying a preliminary document list by searching a corpus using the search criteria; identifying content elements in documents in the preliminary document list; assigning a value to at least one document in the preliminary document list based on a score for each content element in the at least one document, wherein the score is based on a performance measure of one or more related users that accessed one or more documents having a given content element; and providing search results based on the assigned values. The score can be assigned, for example, based on a regression model between the performance measure and one or more of the content elements and/or one or more social network metrics. The social network metrics can comprise, for example, graph entropy; outdegree; betweenness; network constraint and/or number of managers. The performance measure can comprise, for example, one or more of revenue generated by the related users and/or a performance rating of the related users.
    • 提供了基于信息内容的先前用户的性能数据对信息内容进行排名的方法和装置。 通过接收指定搜索条件的搜索请求对信息内容进行排名; 通过使用搜索标准搜索语料库来识别初步文档列表; 识别初步文件列表中文档中的内容元素; 基于所述至少一个文档中的每个内容元素的得分,将所述初始文档列表中的至少一个文档的值分配给所述至少一个文档,其中所述分数基于访问一个或多个文档的一个或多个相关用户的性能测量,所述文档具有 给定的内容元素; 并根据分配的值提供搜索结果。 可以例如基于性能测量与一个或多个内容元素和/或一个或多个社交网络度量之间的回归模型来分配分数。 社交网络度量可以包括例如图熵; 超越 中间性 网络约束和/或管理者数量。 性能测量可以包括例如由相关用户生成的收入中的一个或多个和/或相关用户的表现评级。
    • 40. 发明授权
    • Method and apparatus for image authentication
    • 图像认证方法和装置
    • US06532541B1
    • 2003-03-11
    • US09235862
    • 1999-01-22
    • Shih-Fu ChangChing-Yung Lin
    • Shih-Fu ChangChing-Yung Lin
    • H04L900
    • G06T1/005G06T1/0028G06T2201/0052G06T2201/0065G06T2201/0081H04L9/3247H04L2209/30H04L2209/608H04N1/32101H04N2201/3235H04N2201/3236
    • A system for authentication of a digital image includes a signature generator for creating a robust digital signature for an original image based on instrument features of the image. An authentication processor extracts a set of invariant features for the original image from the digital signature, generates a corresponding set of invariant features for the present image to be authenticated and compares the two sets of invariant features to determine whether the image has been subjected to malicious manipulation. The invariant features include the polarity and magnitude of the difference between discrete cosine transform coefficients at corresponding coefficient locations in selected image block pairs. The intensity of the original image is also authenticated by comparing a mean value of coefficient of the original image to the mean value of the coefficient of the present image.
    • 用于认证数字图像的系统包括签名生成器,用于基于图像的乐器特征为原始图像创建鲁棒的数字签名。 认证处理器从数字签名中提取原始图像的一组不变特征,为要验证的当前图像生成相应的一组不变特征,并比较两组不变特征,以确定图像是否已经受到恶意 操纵。 不变特征包括所选图像块对中相应系数位置处的离散余弦变换系数之间的差异的极性和幅度。 通过将原始图像的系数的平均值与当前图像的系数的平均值进行比较,也可以对原始图像的强度进行认证。