Topics in Relevance Ranking Model for Web Search
    41.
    发明申请
    Topics in Relevance Ranking Model for Web Search 有权
    网页搜索相关性排名模型的主题

    公开(公告)号:US20090327264A1

    公开(公告)日:2009-12-31

    申请号:US12146430

    申请日:2008-06-25

    申请人: Qing Yu Jun Xu Hang Li

    发明人: Qing Yu Jun Xu Hang Li

    IPC分类号: G06F17/30 G06F15/18

    CPC分类号: G06F17/30864

    摘要: Described is a technology by which topics corresponding to web pages are used in relevance ranking of those pages. Topics are extracted from each web page of a set of web pages that are found via a query. For example, text such as nouns may be extracted from the title, anchor texts and URL of a page, and used as the topics. The extracted topics from a page are used to compute a relevance score for that page based on an evaluation of that page's topics against the query. The pages are then ranked relative to one another based at least in part on the relevance score computed for each page, such as by determining a matching level for each page, ranking pages by each level, and ranking pages within each level. Also described is training a model to perform the relevance scoring and/or ranking.

    摘要翻译: 描述了一种技术,通过该技术将与网页相对应的主题用于那些页面的相关性排名。 从通过查询找到的一组网页的每个网页中提取主题。 例如,可以从标题,锚文本和页面的URL中提取诸如名词的文本,并且用作主题。 从页面提取的主题用于根据对该页面的主题对查询的评估来计算该页面的相关性分数。 这些页面至少部分地基于针对每个页面计算的相关性分数相对于彼此进行排名,例如通过确定每个页面的匹配级别,按各级别排序页面以及在每个级别内对页面进行排序。 还描述了训练模型以执行相关性评分和/或排名。

    CALCULATING GLOBAL IMPORTANCE OF DOCUMENTS BASED ON GLOBAL HITTING TIMES
    42.
    发明申请
    CALCULATING GLOBAL IMPORTANCE OF DOCUMENTS BASED ON GLOBAL HITTING TIMES 失效
    基于全球时间表计算全球文件重要性

    公开(公告)号:US20080270377A1

    公开(公告)日:2008-10-30

    申请号:US11742276

    申请日:2007-04-30

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30864

    摘要: A calculate importance system calculates the global importance of a web page based on a “mean hitting time.” Hitting time of a target web page is a measure of the minimum number of transitions needed to land on the target web page. Mean hitting time of a target web page is an average number of such transitions for all possible starting web pages. The calculate importance system calculates a global importance score for a web page based on the reciprocal of a mean hitting time. A search engine may rank web pages of a search result based on a combination of relevance of the web pages to the search request and global importance of the web pages based on a global hitting time.

    摘要翻译: 计算重要性系统基于“平均击球时间”计算网页的全局重要性。 目标网页的打击时间是衡量目标网页上所需的最小转换次数的度量。 目标网页的平均打击时间是所有可能的起始网页的平均数量。 计算重要性系统基于平均击球时间的倒数计算网页的全局重要性得分。 搜索引擎可以基于网页与搜索请求的相关性和基于全局打击时间的网页的全球重要性的组合来对搜索结果的网页进行排序。

    ACTIVE SPAM TESTING SYSTEM
    43.
    发明申请
    ACTIVE SPAM TESTING SYSTEM 有权
    主动式垃圾测试系统

    公开(公告)号:US20080222451A1

    公开(公告)日:2008-09-11

    申请号:US11682971

    申请日:2007-03-07

    申请人: Tie-Yan Liu Hang Li

    发明人: Tie-Yan Liu Hang Li

    IPC分类号: G06F11/00

    CPC分类号: G06F17/30864

    摘要: A method and system for introducing spam into a search engine for testing purposes is provided. An active spam testing system receives from a tester a specification of spam that is to be introduced into the search engine for testing purposes. The testing system may then generate auxiliary data structures for storing indications of the spam that is to be introduced. A search engine has original data structures that may include a content index and a link data structure. The testing system stores the indications of the spam in the auxiliary data structures so that use of the search engine for non-testing purposes is not affected. When the search engine is used for testing purposes, the search engine generates search results based on a combination of the original data structures and the auxiliary data structures.

    摘要翻译: 提供了一种将垃圾邮件引入搜索引擎进行测试的方法和系统。 主动的垃圾邮件测试系统从测试者那里收到将被引入搜索引擎进行测试的垃圾邮件的规范。 然后,测试系统可以产生用于存储要引入的垃圾邮件的指示的辅助数据结构。 搜索引擎具有可以包括内容索引和链接数据结构的原始数据结构。 测试系统将垃圾邮件的指示存储在辅助数据结构中,以便不影响使用搜索引擎进行非测试目的。 当搜索引擎用于测试目的时,搜索引擎将基于原始数据结构和辅助数据结构的组合生成搜索结果。

    SUPERVISED RANK AGGREGATION BASED ON RANKINGS
    44.
    发明申请
    SUPERVISED RANK AGGREGATION BASED ON RANKINGS 有权
    基于排名的监督RANK聚合

    公开(公告)号:US20080222062A1

    公开(公告)日:2008-09-11

    申请号:US11682963

    申请日:2007-03-07

    IPC分类号: G06F15/18 G06F17/15

    摘要: A method and system for rank aggregation of entities based on supervised learning is provided. A rank aggregation system provides an order-based aggregation of rankings of entities by learning weights within an optimization framework for combining the rankings of the entities using labeled training data and the ordering of the individual rankings. The rank aggregation system is provided with multiple rankings of entities. The rank aggregation system is also provided with training data that indicates the relative ranking of pairs of entities. The rank aggregation system then learns weights for each of the ranking sources by attempting to optimize the difference between the relative rankings of pairs of entities using the weights and the relative rankings of pairs of entities of the training data.

    摘要翻译: 提供了一种基于监督学习的实体等级聚合的方法和系统。 排名聚合系统通过在优化框架内学习权重来提供实体排序的基于订单的聚合,以使用标记的训练数据和个体排名的顺序组合实体的排名。 排名聚合系统提供多个实体排名。 等级聚合系统还提供了指示实体对的相对排名的训练数据。 秩聚合系统然后通过尝试使用训练数据的实体对的权重和相对排名来优化实体对的相对排名之间的差异来学习每个排名来源的权重。

    Method and apparatus for identifying translations
    45.
    发明授权
    Method and apparatus for identifying translations 有权
    用于识别翻译的方法和装置

    公开(公告)号:US07346487B2

    公开(公告)日:2008-03-18

    申请号:US10626455

    申请日:2003-07-23

    申请人: Hang Li

    发明人: Hang Li

    IPC分类号: G06F17/28 G06F17/21 G10L11/00

    摘要: A method for identifying a translation transforms a representation of context words in a source language into a transformed representation of context in a target language based on multiple different translations for at least one context word. Candidate representations of context words in a target language are determined for at least two candidate translations. The transformed representation is used to score each candidate representation and the scores are used to select a candidate translation. In another aspect of the invention, a method and apparatus are provided for updating a translation dictionary by receiving votes from multiple clients as to which translation is correct.

    摘要翻译: 用于识别翻译的方法基于用于至少一个上下文单词的多个不同的翻译,将源语言中的上下文单词的表示转换为目标语言中的上下文的变换表示。 针对至少两个候选翻译确定目标语言中的上下文单词的候选表示。 变换的表示用于对每个候选表示进行评分,并且使用分数来选择候选翻译。 在本发明的另一方面,提供了一种方法和装置,用于通过从多个客户端接收关于哪个翻译是正确的投票来更新翻译字典。

    Suspension component having localized material strengthening
    46.
    发明申请
    Suspension component having localized material strengthening 审中-公开
    具有局部材料强化的悬架部件

    公开(公告)号:US20050236794A1

    公开(公告)日:2005-10-27

    申请号:US11170473

    申请日:2005-06-29

    申请人: Haimian Cai Hang Li

    发明人: Haimian Cai Hang Li

    IPC分类号: B21D53/84 B60G21/055

    摘要: A suspension component for an automobile, such as a stabilizer bar, is provided and includes at least one localized portion having a strengthened outer surface. The localized portion is positioned at a location of highest stress along the suspension component. A method of forming the suspension component is also disclosed.

    摘要翻译: 提供了一种用于汽车的悬挂部件,例如稳定杆,并且包括至少一个具有加强的外表面的局部部分。 局部部分沿着悬架部件定位在最高应力的位置。 还公开了形成悬浮组分的方法。

    Uncertainty reduction in collaborative bootstrapping
    47.
    发明申请
    Uncertainty reduction in collaborative bootstrapping 失效
    协同自举的不确定性降低

    公开(公告)号:US20050131850A1

    公开(公告)日:2005-06-16

    申请号:US10732741

    申请日:2003-12-10

    申请人: Yunbo Cao Hang Li

    发明人: Yunbo Cao Hang Li

    CPC分类号: G06N7/02

    摘要: Collaborative bootstrapping with uncertainty reduction for increased classifier performance. One classifier selects a portion of data that is uncertain with respect to the classifier and a second classifier labels the portion. Uncertainty reduction includes parallel processing where the second classifier also selects an uncertain portion for the first classifier to label. Uncertainty reduction can be incorporated into existing or new co-training or bootstrapping, including bilingual bootstrapping.

    摘要翻译: 具有不确定性降低的协作引导,增加分类器性能。 一个分类器选择相对于分类器不确定的一部分数据,而第二分类器标记该部分。 不确定性减少包括并行处理,其中第二分类器还选择第一分类器标记的不确定部分。 不确定度减少可以纳入现有的或新的共同训练或引导,包括双语引导。

    METHODS AND SYSTEMS FOR IMPROVING LIGHT LOAD EFFICIENCY FOR POWER STAGES OF MULTI-PHASE VOLTAGE REGULATOR CIRCUITS
    50.
    发明申请
    METHODS AND SYSTEMS FOR IMPROVING LIGHT LOAD EFFICIENCY FOR POWER STAGES OF MULTI-PHASE VOLTAGE REGULATOR CIRCUITS 有权
    用于改善多相电压调节器电路功率阶段轻负载效率的方法和系统

    公开(公告)号:US20150372597A1

    公开(公告)日:2015-12-24

    申请号:US14470344

    申请日:2014-08-27

    IPC分类号: H02M3/158

    摘要: Methods and systems are disclosed that may be employed to improve efficiency of smart integrated power stages (IPstages) of multi-phase VR systems while operating under relatively light, ultra-light, or partial or reduced loads. The disclosed methods and systems may be implemented to improve VR system light load efficiency by providing and enabling reduced power IPstage operating modes in one or more smart IPstage/s of a VR system, and by enabling state transition between IPstage active and reduced power operating modes such as IPstage standby and IPstage hibernation modes.

    摘要翻译: 公开了可用于提高多相VR系统的智能集成功率级(IP级)的效率的方法和系统,同时在相对较轻,超轻或部分或减少的负载下工作。 可以实现所公开的方法和系统,以通过在VR系统的一个或多个智能IP阶段中提供并实现降低功率的IPstage操作模式,并且通过使得能够在IPstage活动和降低功率操作模式之间进行状态转换来提高VR系统轻负载效率 如IPstage待机和IPstage休眠模式。