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1. 发明授权

US08082246B2 System and method for ranking search results using click distance 有权
标题翻译：使用点击距离对搜索结果进行排名的系统和方法
公开(公告)号：US08082246B2
公开(公告)日：2011-12-20
申请号：US12828508
申请日：2010-07-01
申请人： Dmitriy Meyerzon , Hugo Zaragoza
发明人： Dmitriy Meyerzon , Hugo Zaragoza
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Search results of a search query on a network are ranked according to an additional click distance property associated with each of the documents on the network. The click distance is measurement of the number clicks or user navigations from a page or pages on the network designated as highest authority or root pages on the network. The precision of the results is increased by the addition of the click distance term when the site or intranet where the search query takes place is hierarchically structured.
摘要翻译：根据与网络上的每个文档相关联的附加点击距离属性对网络上的搜索查询的搜索结果进行排序。点击距离是从指定为网络上最高权限或根页面的网络上的页面或页面的数量点击或用户导航的度量。当搜索查询发生的站点或内部网分层结构时，通过添加点击距离项来增加结果的精度。

2. 发明授权

US07792833B2 Ranking search results using language types 有权
标题翻译：使用语言类型排名搜索结果
公开(公告)号：US07792833B2
公开(公告)日：2010-09-07
申请号：US11412723
申请日：2006-04-26
申请人： Dmitriy Meyerzon , Hugo Zaragoza
发明人： Dmitriy Meyerzon , Hugo Zaragoza
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30699
摘要： Search results of a search query on a network are ranked according to an additional ranking function for the prior probability of relevance of a document based on document property. The ranking function can be adjusted based on a comparison of the language that a document is written in and the language that is associated with a search query. Both query-independent values and query-dependent values can be used to rank the document.
摘要翻译：根据基于文档属性的文档相关先前概率的附加排序函数对网络上的搜索查询的搜索结果进行排序。可以基于写入文档的语言与与搜索查询相关联的语言的比较来调整排名功能。可以使用查询无关值和与查询相关的值来对文档进行排名。

3. 发明申请

US20120041960A9 RANKING FUNCTIONS USING DOCUMENT USAGE STATISTICS 审中-公开
标题翻译：使用文件使用统计的排名函数
公开(公告)号：US20120041960A9
公开(公告)日：2012-02-16
申请号：US12359939
申请日：2009-01-26
申请人： Dmitriy Meyerzon , Hugo Zaragoza , Kyle Peltonen , Andrew DeBruyne
发明人： Dmitriy Meyerzon , Hugo Zaragoza , Kyle Peltonen , Andrew DeBruyne
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/3053 , G06F17/30675 , Y10S707/99932 , Y10S707/99933 , Y10S707/99937 , Y10S707/99938
摘要： Methods of providing a document relevance score to a document on a network are disclosed. Computer readable medium having stored thereon computer-executable instructions for performing a method of providing a document relevance score to a document on a network are also disclosed. Further, computing systems containing at least one application module, wherein the at least one application module comprises application code for performing methods of providing a document relevance score to a document on a network are disclosed.
摘要翻译：公开了向网络上的文档提供文档相关性分数的方法。还公开了其上存储有用于执行向网络上的文档提供文档相关性得分的方法的计算机可执行指令的计算机可读介质。此外，公开了包含至少一个应用模块的计算系统，其中所述至少一个应用模块包括用于执行向网络上的文档提供文档相关性分数的方法的应用代码。

4. 发明申请

US20090094196A1 System and Method for Creating and Applying Predictive User Click Models to Predict a Target Page Associated with a Search Query 有权
标题翻译：用于创建和应用预测用户点击模型以预测与搜索查询相关联的目标页面的系统和方法
公开(公告)号：US20090094196A1
公开(公告)日：2009-04-09
申请号：US11867321
申请日：2007-10-04
申请人： Benjamin Piwowarski , Hugo Zaragoza
发明人： Benjamin Piwowarski , Hugo Zaragoza
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30873
摘要： Systems and methods for predicting a target page associated with a search query are disclosed. Generally, a predictive user click model module defines a set of sessions and builds a model to predict whether a webpage is a target page associated with a search query based on a number of times, over the set of sessions, that a user as defined in the session clicks within the same session on a given webpage associated with a given search query versus a number of sessions in the set of sessions.
摘要翻译：公开了用于预测与搜索查询相关联的目标页面的系统和方法。通常，预测用户点击模型模块定义一组会话并构建模型以基于多个会话次数来预测网页是否是与搜索查询相关联的目标页面，该用户定义在会话在与给定搜索查询相关联的给定网页上的同一会话内点击该组会话中的会话数。

5. 发明授权

US07499919B2 Ranking functions using document usage statistics 有权
标题翻译：使用文档使用统计功能排列功能
公开(公告)号：US07499919B2
公开(公告)日：2009-03-03
申请号：US11231955
申请日：2005-09-21
申请人： Dmitriy Meyerzon , Hugo Zaragoza , Kyle Peltonen , Andrew DeBruyne
发明人： Dmitriy Meyerzon , Hugo Zaragoza , Kyle Peltonen , Andrew DeBruyne
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/3053 , G06F17/30675 , Y10S707/99932 , Y10S707/99933 , Y10S707/99937 , Y10S707/99938
摘要： Methods of providing a document relevance score to a document on a network are disclosed. Computer readable medium having stored thereon computer-executable instructions for performing a method of providing a document relevance score to a document on a network are also disclosed. Further, computing systems containing at least one application module, wherein the at least one application module comprises application code for performing methods of providing a document relevance score to a document on a network are disclosed.
摘要翻译：公开了向网络上的文档提供文档相关性分数的方法。还公开了其上存储有用于执行向网络上的文档提供文档相关性分数的方法的计算机可执行指令的计算机可读介质。此外，公开了包含至少一个应用模块的计算系统，其中所述至少一个应用模块包括用于执行向网络上的文档提供文档相关性分数的方法的应用代码。

6. 发明申请

US20060074903A1 System and method for ranking search results using click distance 失效
标题翻译：使用点击距离对搜索结果进行排名的系统和方法
公开(公告)号：US20060074903A1
公开(公告)日：2006-04-06
申请号：US10955983
申请日：2004-09-30
申请人： Dmitriy Meyerzon , Hugo Zaragoza
发明人： Dmitriy Meyerzon , Hugo Zaragoza
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Search results of a search query on a network are ranked according to an additional click distance property associated with each of the documents on the network. The click distance is measurement of the number clicks or user navigations from a page or pages on the network designated as highest authority or root pages on the network. The precision of the results is increased by the addition of the click distance term when the site or intranet where the search query takes place is hierarchically structured.
摘要翻译：根据与网络上的每个文档相关联的附加点击距离属性对网络上的搜索查询的搜索结果进行排序。点击距离是从指定为网络上最高权限或根页面的网络上的页面或页面的数量点击或用户导航的度量。当搜索查询发生的站点或内部网分层结构时，通过添加点击距离项来增加结果的精度。

7. 发明申请

US20060074871A1 System and method for incorporating anchor text into ranking search results 失效
标题翻译：将锚文本纳入排名搜索结果的系统和方法
公开(公告)号：US20060074871A1
公开(公告)日：2006-04-06
申请号：US10955462
申请日：2004-09-30
申请人： Dmitriy Meyerzon , Stephen Robertson , Hugo Zaragoza , Michael Taylor
发明人： Dmitriy Meyerzon , Stephen Robertson , Hugo Zaragoza , Michael Taylor
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Search results of a search query on a network are ranked according to a scoring function that incorporates anchor text as a term. The scoring function is adjusted so that a target document of anchor text reflect the use of terms in the anchor text in the target document's ranking. Initially, the properties associated with the anchor text are collected during a crawl of the network. A separate index is generated that includes an inverted list of the documents and the terms in the anchor text. The index is then consulted in response to a query to calculate a document's score. The score is then used to rank the documents and produce the query results.
摘要翻译：在网络上的搜索查询的搜索结果根据将锚文本作为术语并入的评分函数来排序。调整评分功能，使得锚文本的目标文档反映了目标文档排名中锚文本中的术语的使用。最初，与锚文本相关联的属性在网络爬网期间被收集。生成一个单独的索引，其中包括文档的反向列表和锚文本中的术语。然后查询索引以响应查询来计算文档的分数。然后使用分数对文档进行排名并产生查询结果。

8. 发明申请

US20060074870A1 Query graphs 有权
标题翻译：查询图表
公开(公告)号：US20060074870A1
公开(公告)日：2006-04-06
申请号：US10955122
申请日：2004-09-30
申请人： Eric Brill , Hugo Zaragoza , Robert Ragno , Silviu-Petru Cucerzan
发明人： Eric Brill , Hugo Zaragoza , Robert Ragno , Silviu-Petru Cucerzan
IPC分类号： G06F17/30 , G06T11/20
CPC分类号： G06F17/30651 , Y10S707/99933
摘要： The present invention leverages query-related information based on a query and/or a search intention to provide a systematic means to facilitate a user in locating desired information despite lacking exact search parameters. This allows users to find information without first formulating an optimum search query. The query graph provides a navigable, graphical notion of the query-related information via nodes representative of the query-related information and edges representative of the associations between the information. In one instance of the present invention, the query graph is derived from an information source such as a query log, a query list, and/or a search engine and the like. Additional instances of the present invention utilize visual and/or audible indicators employed with the query graph to facilitate in relaying the query-related information to the user, including, but not limited to, overlays, icons, colors, and dimensional variances and the like.
摘要翻译：本发明利用基于查询和/或搜索意图的查询相关信息来提供系统的方式，以便于用户定位所需信息，尽管缺少确切的搜索参数。这允许用户在没有首先制定最佳搜索查询的情况下查找信息。查询图通过代表查询相关信息的节点和表示信息之间的关联的边缘提供与查询相关信息的可导航的图形概念。在本发明的一个实例中，查询图是从诸如查询日志，查询列表和/或搜索引擎等的信息源导出的。本发明的附加实例利用与查询图一起使用的视觉和/或听觉指示符以便于将查询相关信息中继给用户，包括但不限于叠加，图标，颜色和尺寸方差等。

9. 发明申请

US20050210006A1 Field weighting in text searching 有权
标题翻译：文本搜索中的字段权重
公开(公告)号：US20050210006A1
公开(公告)日：2005-09-22
申请号：US10804326
申请日：2004-03-18
申请人： Stephen Robertson , Hugo Zaragoza , Michael Taylor , Stefan Larimore , Mihai Petriuc
发明人： Stephen Robertson , Hugo Zaragoza , Michael Taylor , Stefan Larimore , Mihai Petriuc
IPC分类号： G06F17/30
CPC分类号： G06F17/30722 , G06F17/30616 , Y10S707/99952
摘要： A field-weighted search combines statistical information for each term across document fields in a suitably weighted fashion. Both field-specific term frequencies and field and document lengths are considered to obtain a field-weighted document weight for each query term. Each field-weighted document weight can then be combined in order to generate a field-weighted document score that is responsive to the overall query.
摘要翻译：场加权搜索以适当加权的方式将跨文档字段的每个术语的统计信息合并。考虑到字段特定术语频率和字段和文档长度都可以获得每个查询项的场加权文档权重。然后可以组合每个场加权文档权重，以便生成响应于整体查询的场加权文档得分。

10. 发明授权

US09195743B2 System and method for creating and applying predictive user click models to predict a target page associated with a search query 有权
标题翻译：用于创建和应用预测性用户点击模型以预测与搜索查询相关联的目标页面的系统和方法
公开(公告)号：US09195743B2
公开(公告)日：2015-11-24
申请号：US11867321
申请日：2007-10-04
申请人： Benjamin Piwowarski , Hugo Zaragoza
发明人： Benjamin Piwowarski , Hugo Zaragoza
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30873
摘要： Systems and methods for predicting a target page associated with a search query are disclosed. Generally, a predictive user click model module defines a set of sessions and builds a model to predict whether a webpage is a target page associated with a search query based on a number of times, over the set of sessions, that a user as defined in the session clicks within the same session on a given webpage associated with a given search query versus a number of sessions in the set of sessions.
摘要翻译：公开了用于预测与搜索查询相关联的目标页面的系统和方法。通常，预测用户点击模型模块定义一组会话并构建模型以基于多个会话次数来预测网页是否是与搜索查询相关联的目标页面，该用户定义在会话在与给定搜索查询相关联的给定网页上的同一会话内点击该组会话中的会话数。

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