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    • 6. 发明授权
    • Quasi-cyclic low-density parity-check codes
    • 准循环低密度奇偶校验码
    • US08595589B2
    • 2013-11-26
    • US13251180
    • 2011-09-30
    • Jonathan YedidiaYige Wang
    • Jonathan YedidiaYige Wang
    • H03M13/00
    • H03M13/116H03M13/1154H03M13/1165
    • A system and a method for determining a quasi-cyclic (QC) low-density parity-check (LDPC) code, such that the QC LDPC code has no trapping sets are disclosed. A set of matrices representing a family of QC LDPC codes are acquired, wherein each QC LDPC code is a tail-biting spatially-coupled code of girth not less than eight, and wherein each column of each matrix in the set has a weight not less than four. Based on a trapping set pattern, a matrix from the set of matrices is selected such that the matrix represents the QC LDPC code with no trapping sets. The matrix can be stored into a memory.
    • 一种用于确定准循环(QC)低密度奇偶校验(LDPC)码的系统和方法,使得QC LDPC码没有捕获集合被公开。 获取表示QC LDPC码族的一组矩阵,其中每个QC LDPC码是周长不小于8的尾巴空间耦合码,并且其中集合中的每个矩阵的每列具有不小于 比四。 基于捕获集合模式,选择来自矩阵集合的矩阵,使得矩阵表示没有陷阱集合的QC LDPC码。 矩阵可以存储到存储器中。
    • 10. 发明授权
    • Computer system and method for analyzing data sets and providing personalized recommendations
    • 用于分析数据集和提供个性化建议的计算机系统和方法
    • US09396492B2
    • 2016-07-19
    • US13274235
    • 2011-10-14
    • Jeremy SchiffCorey ReeseYige WangScott GoodsonPaul Kenneth Twohey
    • Jeremy SchiffCorey ReeseYige WangScott GoodsonPaul Kenneth Twohey
    • G06Q30/06G06Q30/02
    • G06Q30/0631G06Q30/0282G06Q30/06
    • Embodiments of the invention relate to a computer-implemented method and system for providing personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining a plurality of feedback data from a plurality of users, wherein the feedback data comprises an indication of a media object, a response obtained from target user related to the feedback data, and at least one demographic data element associated with the target user. A set of personalized recommendations for the target user are identified based at least on stored data about the target user and the feedback data related to the user. The personalized recommendations system identifies media objects to potentially provide to the target user, and selects or filters the identified media objects to form a set of personalized media objects associated with the set of personalized recommendations.
    • 本发明的实施例涉及一种计算机实现的方法和系统,用于至少基于存储的关于目标用户的数据为目标用户提供个性化建议。 该方法包括从多个用户获得多个反馈数据,其中所述反馈数据包括媒体对象的指示,从与所述反馈数据相关的目标用户获得的响应以及与所述目标相关联的至少一个人口统计数据元素 用户。 至少基于关于目标用户的存储数据和与用户相关的反馈数据来识别针对目标用户的一组个性化建议。 个性化推荐系统识别可能提供给目标用户的媒体对象,并且选择或过滤所识别的媒体对象以形成与该组个性化推荐相关联的一组个性化媒体对象。