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    Resource Download Policies Based On User Browsing Statistics
    3.
    发明申请
    Resource Download Policies Based On User Browsing Statistics 有权
    基于用户浏览统计的资源下载策略

    公开(公告)号：US20120303606A1

    公开(公告)日：2012-11-29

    申请号：US13114643

    申请日：2011-05-24

    申请人： Rui Cai ,  Xiaodong Fan ,  Lei Zhang

    发明人： Rui Cai ,  Xiaodong Fan ,  Lei Zhang

    IPC分类号： G06F17/30 ,  G06F15/173

    CPC分类号： G06F17/30864 ,  G06F17/30705 ,  G06F17/30861 ,  G06F17/3089 ,  G06F17/30899

    摘要： Web crawling polices are generated based on user web browsing statistics. User browsing statistics are aggregated at the granularity of resource identifier patterns (such as URL patterns) that denote groups of resources within a particular domain or website that share syntax at a certain level of granularity. The web crawl policies rank the resource identifier patterns according to their associated aggregated user browsing statistics. A crawl ordering defined by the web crawl polices is used to download and discover new resources within a domain or website.

    摘要翻译： 基于用户网络浏览统计信息生成Web爬行策略。 用户浏览统计信息以资源标识符模式（例如URL模式）的粒度进行聚合，这些资源标识符模式表示特定域或网站中以特定粒度级别共享语法的资源组。 网络爬网策略根据其关联的聚合用户浏览统计信息对资源标识符模式进行排序。 由网络抓取策略定义的爬网排序用于下载和发现域或网站中的新资源。

    Resource download policies based on user browsing statistics
    4.
    发明授权
    Resource download policies based on user browsing statistics 有权
    基于用户浏览统计的资源下载策略

    公开(公告)号：US09495453B2

    公开(公告)日：2016-11-15

    申请号：US13114643

    申请日：2011-05-24

    申请人： Rui Cai ,  Xiaodong Fan ,  Lei Zhang

    发明人： Rui Cai ,  Xiaodong Fan ,  Lei Zhang

    IPC分类号： G06F7/00 ,  G06F17/30 ,  G06F17/00

    CPC分类号： G06F17/30864 ,  G06F17/30705 ,  G06F17/30861 ,  G06F17/3089 ,  G06F17/30899

    摘要： Web crawling polices are generated based on user web browsing statistics. User browsing statistics are aggregated at the granularity of resource identifier patterns (such as URL patterns) that denote groups of resources within a particular domain or website that share syntax at a certain level of granularity. The web crawl policies rank the resource identifier patterns according to their associated aggregated user browsing statistics. A crawl ordering defined by the web crawl polices is used to download and discover new resources within a domain or website.

    摘要翻译： 基于用户网络浏览统计信息生成Web爬行策略。 用户浏览统计信息以资源标识符模式（例如URL模式）的粒度进行聚合，这些资源标识符模式表示特定域或网站中以特定粒度级别共享语法的资源组。 网络爬网策略根据其关联的聚合用户浏览统计信息对资源标识符模式进行排序。 由网络抓取策略定义的爬网排序用于下载和发现域或网站中的新资源。

    User-driven index selection
    5.
    发明授权
    User-driven index selection 有权
    用户驱动的索引选择

    公开(公告)号：US08682811B2

    公开(公告)日：2014-03-25

    申请号：US12650285

    申请日：2009-12-30

    申请人： Chris J. Burges ,  Denyong Zhou ,  Xiao Li ,  Yan Ke ,  Tao Tao ,  Xiaodong Fan

    发明人： Chris J. Burges ,  Denyong Zhou ,  Xiao Li ,  Yan Ke ,  Tao Tao ,  Xiaodong Fan

    IPC分类号： G06F15/18

    CPC分类号： G06F17/30887

    摘要： Techniques for index building are described. Clickcounts of respective training URLs may indicate a number of times that corresponding training URLs were clicked in search engine results. A machine learning algorithm implemented on a computer computes a trained model that is then stored. The clickcounts and respective URLs are passed to the machine learning algorithm to train the model to predict probabilities based on feature vectors of URLs. An index of web pages is built for a set of URLs that identify the web pages. Feature vectors for the URLs are computed. Probabilities of the web pages of the URLs being searched in the future by users may be computed by processing the feature vectors with the trained model. The probabilities may be used to determine which of the URLs to include in the index.

    摘要翻译： 描述了索引建立的技术。 相应培训URL的点击次数可以指示在搜索引擎结果中点击相应的培训URL的次数。 在计算机上实现的机器学习算法计算然后存储的训练模型。 点击次数和相应的URL被传递到机器学习算法，以基于URL的特征向量来训练模型来预测概率。 网页索引是为一组识别网页的网址而构建的。 计算URL的特征向量。 可能由用户将来搜索的URL的网页的概率通过用训练模型处理特征向量来计算。 概率可用于确定要包括在索引中的URL。

    Multi-domain recommendations
    6.
    发明授权
    Multi-domain recommendations 有权
    多域名推荐

    公开(公告)号：US08504583B1

    公开(公告)日：2013-08-06

    申请号：US13396056

    申请日：2012-02-14

    申请人： Yan Ke ,  Xiaodong Fan ,  Yang Li

    发明人： Yan Ke ,  Xiaodong Fan ,  Yang Li

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30867

    摘要： Methods, computer systems, and computer-readable storage media for generating and presenting multi-domain recommendations to a user viewing a Web page are provided. A topic-of-interest is identified on the Web page being viewed by the user. The topic-of-interest is mapped to an entity ID in a multi-domain recommendation data structure. The multi-domain recommendation data structure is used to identify entities, uniform resource locators, and search queries mapped to the entity ID. Multi-domain recommendations are generated using the entities, uniform resource locators, and search queries; the multi-domain recommendations are presented on the Web page being viewed by the user.

    摘要翻译： 提供了用于向查看网页的用户生成和呈现多域建议的方法，计算机系统和计算机可读存储介质。 在用户正在查看的网页上标识出兴趣主题。 感兴趣的主题被映射到多域推荐数据结构中的实体ID。 多域推荐数据结构用于识别映射到实体ID的实体，统一资源定位符和搜索查询。 使用实体，统一资源定位符和搜索查询生成多域建议; 多域建议显示在用户正在浏览的网页上。

    USER-DRIVEN INDEX SELECTION
    7.
    发明申请
    USER-DRIVEN INDEX SELECTION 有权
    用户驱动索引选择

    公开(公告)号：US20110161260A1

    公开(公告)日：2011-06-30

    申请号：US12650285

    申请日：2009-12-30

    申请人： Chris J. Burges ,  Denyong Zhou ,  Xiao Li ,  Yan Ke ,  Tao Tao ,  Xiaodong Fan

    发明人： Chris J. Burges ,  Denyong Zhou ,  Xiao Li ,  Yan Ke ,  Tao Tao ,  Xiaodong Fan

    IPC分类号： G06F17/30 ,  G06F15/18

    CPC分类号： G06F17/30887

    摘要： Techniques for index building are described. Clickcounts of respective training URLs may indicate a number of times that corresponding training URLs were clicked in search engine results. A machine learning algorithm implemented on a computer computes a trained model that is then stored. The clickcounts and respective URLs are passed to the machine learning algorithm to train the model to predict probabilities based on feature vectors of URLs. An index of web pages is built for a set of URLs that identify the web pages. Feature vectors for the URLs are computed. Probabilities of the web pages of the URLs being searched in the future by users may be computed by processing the feature vectors with the trained model. The probabilities may be used to determine which of the URLs to include in the index.

    摘要翻译： 描述了索引建立的技术。 相应培训URL的点击次数可以指示在搜索引擎结果中点击相应的培训URL的次数。 在计算机上实现的机器学习算法计算然后存储的训练模型。 点击次数和相应的URL被传递到机器学习算法，以基于URL的特征向量来训练模型来预测概率。 网页索引是为一组识别网页的网址而构建的。 计算URL的特征向量。 可能由用户将来搜索的URL的网页的概率通过用训练模型处理特征向量来计算。 概率可用于确定要包括在索引中的URL。

    MULTIMODAL GRAPH MODELING AND COMPUTATION FOR SEARCH PROCESSES
    8.
    发明申请
    MULTIMODAL GRAPH MODELING AND COMPUTATION FOR SEARCH PROCESSES 审中-公开
    多模式图形建模与搜索过程的计算

    公开(公告)号：US20130218866A1

    公开(公告)日：2013-08-22

    申请号：US13400130

    申请日：2012-02-20

    申请人： Richard J. Qian ,  Xiaodong Fan

    发明人： Richard J. Qian ,  Xiaodong Fan

    IPC分类号： G06F17/30

    CPC分类号： G06F16/338

    摘要： Architecture that includes a multimodal graph modeling and computation system employed in a search framework. The framework utilizes entities to diversify and explore the results page. The multimodal graph modeling paradigm can include web modeling by way of a click graph, a web graph, a social graph, a geospatial graph, and an entity graph, for example. These graphs are then joined based on common properties such as links, clicks, and document entities. Computation can then be performed over the joined graphs to generate a related entity list and a related page list. These lists are then processed by a recommendation engine to provide recommendations to the user.

    摘要翻译： 包括在搜索框架中使用的多模态图建模和计算系统的架构。 该框架利用实体多样化并探索结果页面。 多模式图形建模范例可以包括例如通过点击图形，网络图，社交图，地理空间图和实体图的网络建模。 然后，这些图形将基于常用属性（如链接，点击和文档实体）进行连接。 然后可以通过连接图执行计算，以生成相关的实体列表和相关的页面列表。 这些列表然后由推荐引擎处理，以向用户提供建议。

    Control circuit, control method, and power supply device
    10.
    发明授权
    Control circuit, control method, and power supply device 有权
    控制电路，控制方式及电源装置

    公开(公告)号：US08259470B2

    公开(公告)日：2012-09-04

    申请号：US13270045

    申请日：2011-10-10

    申请人： Xiaodong Fan ,  Lei Feng ,  Fugao Zhao ,  Zhihua Liu

    发明人： Xiaodong Fan ,  Lei Feng ,  Fugao Zhao ,  Zhihua Liu

    IPC分类号： H02M3/335 ,  H02H7/125

    CPC分类号： H02M3/33592 ,  H02M1/32 ,  H02M3/33515 ,  Y02B70/1475

    摘要： A control circuit, a control method, and a power supply device are provided. The control circuit includes an obtaining sub-circuit, adapted to obtain a voltage signal from a reverse surge current when the reverse surge current appears on a primary side of a switch power circuit of a synchronous rectification circuit; a maintaining sub-circuit, adapted to continuously output a first control signal in a preset first time period when the voltage signal is greater than a preset first voltage threshold; and a control sub-circuit, adapted to control and switch off switch tubes of the secondary side of the switch power circuit of the synchronous rectification circuit according to the first control signal. Thus, a reverse current surge of the switch power circuit of the synchronous rectification circuit can be effectively suppressed, and the safety of a switch power supply of the synchronous rectification circuit can be effectively protected.

    摘要翻译： 提供控制电路，控制方法和电源装置。 所述控制电路包括获取子电路，用于当所述反向浪涌电流出现在同步整流电路的开关电源电路的初级侧时，从反向浪涌电流获得电压信号; 维持子电路，适于当所述电压信号大于预设的第一电压阈值时，在预设的第一时间段内连续地输出第一控制信号; 以及控制子电路，适于根据第一控制信号来控制和关断同步整流电路的开关电源电路的次级侧的开关管。 因此，能够有效地抑制同步整流电路的开关电源电路的反向电流浪涌，能够有效地保护同步整流电路的开关电源的安全性。