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    • 31. 发明授权
    • User segment suggestion for online advertising
    • 在线广告的用户分段建议
    • US07711735B2
    • 2010-05-04
    • US11803503
    • 2007-05-15
    • Min WuChenxi LinBenyu ZhangZheng ChenJian Wang
    • Min WuChenxi LinBenyu ZhangZheng ChenJian Wang
    • G06F17/30
    • G06Q30/02G06F17/30867
    • Described is a behavioral targeting technology for online advertising, by which an original attribute is uniformly expanded. Users that meet an original attribute are aggregated into a mid-result used to determine similarity relative to candidate attribute types. The most similar candidate attributes are selected for the expanded attribute. A URL/URL pattern suggestion technology is provided, with similarity computed from users/URLs visited by the users. URLs are separated into URL tree nodes, for calculating the number of users who have visited each URL and the number of users who have visited the URL on a sub-tree whose root is the node. URL/URL patterns are output based on similarity. Domains are also suggested based on user-visits. Similarities between pairs of domains may be computed (e.g., offline), with an output for a given domain provided in based on its similarity with each other domain.
    • 描述了一种用于在线广告的行为定位技术,通过该技术,原始属性被均匀地扩展。 满足原始属性的用户将聚合成中间结果,用于确定与候选属性类型相似度。 为扩展属性选择最相似的候选属性。 提供URL / URL模式建议技术,从用户访问的用户/ URL计算相似度。 URL被分隔成URL树节点,用于计算访问每个URL的用户数和在其根是节点的子树上访问过URL的用户数。 基于相似性输出URL / URL模式。 还可以根据用户访问建议域。 可以基于其与每个其他域的相似性来计算(例如,脱机)对域之间的相似性,其中提供给定域的输出。
    • 32. 发明授权
    • Text classification by weighted proximal support vector machine based on positive and negative sample sizes and weights
    • 基于正,负样本大小和权重的加权近端支持向量机进行文本分类
    • US07707129B2
    • 2010-04-27
    • US11384889
    • 2006-03-20
    • Dong ZhuangBenyu ZhangZheng ChenHua-Jun ZengJian Wang
    • Dong ZhuangBenyu ZhangZheng ChenHua-Jun ZengJian Wang
    • G06F15/18G06E1/00G06E3/00
    • G06F17/30707G06K9/6269
    • Embodiments of the invention relate to improvements to the support vector machine (SVM) classification model. When text data is significantly unbalanced (i.e., positive and negative labeled data are in disproportion), the classification quality of standard SVM deteriorates. Embodiments of the invention are directed to a weighted proximal SVM (WPSVM) model that achieves substantially the same accuracy as the traditional SVM model while requiring significantly less computational time. A weighted proximal SVM (WPSVM) model in accordance with embodiments of the invention may include a weight for each training error and a method for estimating the weights, which automatically solves the unbalanced data problem. And, instead of solving the optimization problem via the KKT (Karush-Kuhn-Tucker) conditions and the Sherman-Morrison-Woodbury formula, embodiments of the invention use an iterative algorithm to solve an unconstrained optimization problem, which makes WPSVM suitable for classifying relatively high dimensional data.
    • 本发明的实施例涉及对支持向量机(SVM)分类模型的改进。 当文本数据显着不平衡(即正负标签数据不成比例)时,标准SVM的分类质量恶化。 本发明的实施例涉及一种加权近端SVM(WPSVM)模型,其实现与传统SVM模型基本相同的精度,同时需要显着更少的计算时间。 根据本发明的实施例的加权近端SVM(WPSVM)模型可以包括每个训练误差的权重和用于估计权重的方法,其自动地解决不平衡数据问题。 而且,不是通过KKT(Karush-Kuhn-Tucker)条件和Sherman-Morrison-Woodbury公式来解决优化问题,而是本发明的实施例使用迭代算法来解决无约束优化问题,这使得WPSVM适合于相对分类 高维数据。
    • 33. 发明授权
    • Method and system for ranking documents of a search result to improve diversity and information richness
    • 搜索结果排序文件的方法和系统,以提高多样性和信息丰富度
    • US07664735B2
    • 2010-02-16
    • US10837540
    • 2004-04-30
    • Benyu ZhangZheng ChenHua-Jun ZengWei-Ying Ma
    • Benyu ZhangZheng ChenHua-Jun ZengWei-Ying Ma
    • G06F17/00
    • G06F17/30867Y10S707/99933
    • A method and system for ranking documents of search results based on information richness and diversity of topics. A ranking system determines the information richness of each document within a search result. The ranking system groups documents of a search result based on their relatedness, meaning that they are directed to similar topics. The ranking system ranks the documents to ensure that the highest ranking documents may include at least one document covering each topic, that is, one document from each of the groups. The ranking system selects the document from each group that has the highest information richness of the documents within the group. When the documents are presented to a user in rank order, the user will likely find on the first page of the search result documents that cover a variety of topics, rather than just a single popular topic.
    • 基于信息丰富性和主题多样性对搜索结果文档进行排序的方法和系统。 排名系统确定搜索结果内每个文档的信息丰富度。 排名系统根据其相关性对搜索结果的文档进行分组,这意味着它们针对类似的主题。 排名系统排列文件,以确保最高排名的文档可能包含至少一个涵盖每个主题的文档,即每个组中的一个文档。 排名系统选择组内文件信息丰富度最高的组中的文档。 当文件以等级顺序呈现给用户时,用户可能会在搜索结果文档的第一页上找到涵盖各种主题的文档,而不仅仅是一个流行的主题。
    • 37. 发明授权
    • Clock-and-data-recovery system having a multi-phase clock generator for one or more channel circuits
    • 具有用于一个或多个信道电路的多相时钟发生器的时钟和数据恢复系统
    • US07599457B2
    • 2009-10-06
    • US11199287
    • 2005-08-08
    • Phillip JohnsonZheng ChenBarry Britton
    • Phillip JohnsonZheng ChenBarry Britton
    • H04L7/02
    • H04L7/0338H03L7/0812
    • In one embodiment of the invention, a clock-and-data-recovery (CDR) system has a multi-phase clock generator that generates a plurality of phase-offset clock signals and one or more channel circuits, each receiving a (different) input data signal and all of the phase-offset clock signals and generates an output data stream and a recovered clock signal. Each channel circuit has a plurality of data registers (e.g., flip-flops), each receiving the input data signal at its clock input port and a different one of the phase-offset clock signals at its data input port, such that the flip-flop is triggered at each (rising) edge in the input data signal. The channel circuit processes the outputs from the different flip-flops to select an appropriate phase-offset clock signal for use in sampling the input data signal to generate the output data stream, where the recovered clock signal is generated from the selected phase-offset clock signal.
    • 在本发明的一个实施例中,时钟和数据恢复(CDR)系统具有产生多个相位偏移时钟信号的多相时钟发生器和一个或多个信道电路,每个信道电路接收(不同的)输入 数据信号和所有相位偏移时钟信号,并产生输出数据流和恢复的时钟信号。 每个通道电路具有多个数据寄存器(例如,触发器),每个数据寄存器在其时钟输入端口接收输入数据信号,并在其数据输入端口接收不同的相位偏移时钟信号, 触发器在输入数据信号的每个(上升沿)触发。 通道电路处理来自不同触发器的输出以选择合适的相位偏移时钟信号,以用于对输入数据信号进行采样以产生输出数据流,其中从所选择的相位偏移时钟产生恢复的时钟信号 信号。
    • 39. 发明授权
    • Implicit links search enhancement system and method for search engines using implicit links generated by mining user access patterns
    • 使用由采矿用户访问模式生成的隐式链接的搜索引擎的隐式链接搜索增强系统和方法
    • US07584181B2
    • 2009-09-01
    • US10676794
    • 2003-09-30
    • Hua-Jun ZengGui-Rong XueZheng ChenWei-Ying Ma
    • Hua-Jun ZengGui-Rong XueZheng ChenWei-Ying Ma
    • G06F7/00G06F17/30
    • G06F17/30867Y10S707/99935Y10S707/99937
    • An implicit links enhancement system and method for search engines that generates implicit links obtained from mining user access logs to facilitate enhanced local searching of web sites and intranets. The implicit links search enhancement system and method includes extracting implicit links by mining users' access patterns and then using a modified link analysis algorithm to re-rank search results obtained from traditional search engines. More specifically, the implicit links search enhancement method includes extracting implicit links from a user access log, generating an implicit links graph from the extracted implicit links, and computing page rankings using the implicit links graph. The implicit links are extracted from the log using a two-item sequential pattern mining technique. Search results obtained from a search engine are re-ranked based on an implicit links analysis performed using an updated implicit links graph, a modified re-ranking formula, and at least one re-ranking technique.
    • 一种用于搜索引擎的隐式链接增强系统和方法,用于生成从挖掘用户访问日志中获取的隐含链接,以促进对网站和内部网的增强的本地搜索。 隐式链接搜索增强系统和方法包括通过挖掘用户访问模式提取隐含链接,然后使用修改的链接分析算法对从传统搜索引擎获取的搜索结果进行重新排序。 更具体地,隐式链接搜索增强方法包括从用户访问日志提取隐含链接,从提取的隐式链接生成隐式链接图,以及使用隐式链接图计算页面排名。 使用两项顺序模式挖掘技术从日志中提取隐式链接。 基于使用更新的隐式链接图,修改的重新排列公式和至少一个重新排序技术执行的隐式链接分析,从搜索引擎获得的搜索结果被重新排序。