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    • 81. 发明授权
    • Semantic based collaborative filtering
    • 基于语义的协同过滤
    • US06487539B1
    • 2002-11-26
    • US09369741
    • 1999-08-06
    • Charu C. AggarwalPhilip S. Yu
    • Charu C. AggarwalPhilip S. Yu
    • G06F1760
    • G06Q30/02G06Q30/0222G06Q30/0224
    • A method for providing product recommendations to customers in an e-commerce environment includes the step of generating content and compatibility representations of products corresponding to a plurality of customers. A similarity function is calculated between pairs of content attributes corresponding to the products. A similarity function is calculated between pairs of compatibility attributes corresponding to the products. The plurality of customers are clustered into a plurality of peer groups. For a given customer, a closest peer group of the plurality of peer groups is determined. At least one potential recommendation is then generated for the given customer based on the closest peer group.
    • 在电子商务环境中向客户提供产品推荐的方法包括产生与多个客户对应的产品的内容和兼容性表示的步骤。 在对应于产品的内容属性对之间计算相似度函数。 在对应于产品的兼容性属性对之间计算相似度函数。 多个客户被聚集成多个对等体组。 对于给定的客户,确定多个对等组中最接近的对等组。 然后,基于最接近的对等组,为给定的客户生成至少一个潜在的建议。
    • 83. 发明授权
    • Systems and methods for metadata embedding in streaming medical data
    • 用于元数据嵌入流式医疗数据的系统和方法
    • US08891814B2
    • 2014-11-18
    • US13491561
    • 2012-06-07
    • Michail VlachosPhilip S. Yu
    • Michail VlachosPhilip S. Yu
    • G06K9/00G06T1/00
    • G06T1/0071G06T2201/0051G06T2201/0052G06T2201/0061G06T2201/0083
    • Systems and methods for embedding metadata such as personal patient information within actual medical data signals obtained from a patient are provided wherein two watermarks, a robust watermark and a fragile watermark are embedded in a given medical data signal. The robust watermark includes a binary coded representation of the metadata that is incorporated into the frequency domain of the medical data signal using discrete Fourier transformations and additive embedding. Error correcting code can also be added to the binary representation of the metadata using Hamming coding. A given robust watermark can be incorporated multiple times in the medical data signal. The fragile watermark is added on top of the modified medical signal containing the robust watermark in the spatial domain of the modified medical signal. The fragile watermark utilizes hash function to generate random sequences that are incorporated through the medical data signal.
    • 提供了用于将诸如个人患者信息之类的元数据嵌入到从患者获得的实际医疗数据信号中的系统和方法,其中在给定医疗数据信号中嵌入两个水印,鲁棒水印和脆弱水印。 鲁棒水印包括使用离散傅里叶变换和附加嵌入结合到医疗数据信号的频域中的元数据的二进制编码表示。 错误纠正码也可以使用汉明编码加到元数据的二进制表示中。 给定的鲁棒水印可以被并入多次在医疗数据信号中。 在修改后的医疗信号的空间域中包含鲁棒水印的经修改的医学信号之上添加脆弱水印。 脆弱水印利用散列函数产生通过医疗数据信号并入的随机序列。
    • 84. 发明申请
    • METHOD AND APPARATUS FOR ADAPTIVE LOAD SHEDDING
    • 用于自适应载荷的方法和装置
    • US20120124233A1
    • 2012-05-17
    • US13342487
    • 2012-01-03
    • BUGRA GEDIKKun-Lung WuPhilip S. Yu
    • BUGRA GEDIKKun-Lung WuPhilip S. Yu
    • G06F15/16
    • H04L49/90
    • One embodiment of the present method and apparatus adaptive load shedding includes receiving at least one data stream (comprising a plurality of tuples, or data items) into a first sliding window of memory. A subset of tuples from the received data stream is then selected for processing in accordance with at least one data stream operation, such as a data stream join operation. Tuples that are not selected for processing are ignored. The number of tuples selected and the specific tuples selected depend at least in part on a variety of dynamic parameters, including the rate at which the data stream (and any other processed data streams) is received, time delays associated with the received data stream, a direction of a join operation performed on the data stream and the values of the individual tuples with respect to an expected output.
    • 本发明的方法和设备的一个实施例是自适应负载脱落包括将至少一个数据流(包括多个元组或数据项)接收到存储器的第一滑动窗口中。 然后根据至少一个数据流操作(例如数据流加入操作)选择来自接收到的数据流的元组的子集用于处理。 未选择处理的元组将被忽略。 所选择的元组的数量和所选择的特定元组至少部分取决于各种动态参数,包括接收数据流(和任何其他处理的数据流)的速率,与接收到的数据流相关联的时间延迟, 对数据流执行的连接操作的方向和相对于预期输出的单个元组的值。
    • 87. 发明授权
    • System and method for enabling disconnected web access
    • 启用断开Web访问的系统和方法
    • US07900147B2
    • 2011-03-01
    • US10201367
    • 2002-07-22
    • Hui LeiYiming YePhilip S. Yu
    • Hui LeiYiming YePhilip S. Yu
    • G06F3/00
    • G06F17/30902
    • A system and method for supporting offline Web browsing. A user interests profile comprising content and attribute preferences of Web pages the user may be interested in is provided. Based on that user's profile, there is generated an interestingness values value for each of candidate Web pages. From a hoard request initiated by a user, received one or more Web pages are selected and downloaded based on their respective interestingness values. These Web pages are stored for later viewing by the user when offline. The candidate Web pages include base Web pages which are supplied by the user in the hoard request, and linked Web pages which are reachable from the base pages. Thus, an interestingness value may be computed as the interestingness of a hyperlink associated with a Web page reachable from a base Web page, the interestingness value of a hyperlink being based upon the similarity of a linked Web page to the base Web page and/or to that user's interests profile.
    • 一种用于支持离线Web浏览的系统和方法。 提供了包括用户可能感兴趣的网页的内容和属性偏好的用户兴趣简档。 基于该用户的配置文件,为每个候选网页生成一个有趣的值值。 根据用户发起的囤积请求,基于它们各自的感兴趣值来选择和下载接收的一个或多个网页。 这些网页存储供用户在离线时供以后查看。 候选网页包括由用户在囤积请求中提供的基本网页以及可从基页访问的链接网页。 因此,可以将兴趣值计算为与从基本网页可访问的网页相关联的超链接的兴趣,超链接的兴趣值基于链接的网页与基本网页的相似性和/或 到该用户的兴趣资料。
    • 90. 发明授权
    • Method and apparatus for adaptive load shedding
    • 自适应负荷脱落的方法和装置
    • US07610397B2
    • 2009-10-27
    • US11068137
    • 2005-02-28
    • Bugra GedikKun-Lung WuPhilip S. Yu
    • Bugra GedikKun-Lung WuPhilip S. Yu
    • G06F15/16
    • H04L49/90
    • One embodiment of the present method and apparatus adaptive load shedding includes receiving at least one data stream (comprising a plurality of tuples, or data items) into a first sliding window of memory. A subset of tuples from the received data stream is then selected for processing in accordance with at least one data stream operation, such as a data stream join operation. Tuples that are not selected for processing are ignored. The number of tuples selected and the specific tuples selected depend at least in part on a variety of dynamic parameters, including the rate at which the data stream (and any other processed data streams) is received, time delays associated with the received data stream, a direction of a join operation performed on the data stream and the values of the individual tuples with respect to an expected output.
    • 本发明的方法和设备的一个实施例是自适应负载脱落包括将至少一个数据流(包括多个元组或数据项)接收到存储器的第一滑动窗口中。 然后根据至少一个数据流操作(例如数据流加入操作)选择来自接收到的数据流的元组的子集用于处理。 未选择处理的元组将被忽略。 所选择的元组的数量和所选择的特定元组至少部分取决于各种动态参数,包括接收数据流(和任何其他处理的数据流)的速率,与接收到的数据流相关联的时间延迟, 对数据流执行的连接操作的方向和相对于预期输出的单个元组的值。