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1. 发明授权

US08849804B1 Distributing interest categories within a hierarchical classification 有权
标题翻译：在层次分类中分配兴趣类别
公开(公告)号：US08849804B1
公开(公告)日：2014-09-30
申请号：US13572460
申请日：2012-08-10
申请人： Ching Law , Ting Liu , Jonathan Michael Krafcik
发明人： Ching Law , Ting Liu , Jonathan Michael Krafcik
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30867
摘要： Methods and systems for distributing interest categories within a hierarchical classification, wherein a parent interest category is identified and the hierarchical classification is filtered. A sub-interest category is extracted, based on the filtering, and a weighting associated with the sub-interest category is transferred into the parent interest category. The weighting is distributed in the hierarchical classification.
摘要翻译：在分层分类中分配兴趣类别的方法和系统，其中识别父兴趣类别并且分级分类被过滤。基于过滤提取次级兴趣类别，并且与次级兴趣类别相关联的加权被转移到母公益类别中。加权分布在层次分类中。

2. 发明授权

US08290800B2 Probabilistic inference of site demographics from aggregate user internet usage and source demographic information 失效
标题翻译：来自用户互联网用户总数和人口统计信息的现场人口统计概率推论
公开(公告)号：US08290800B2
公开(公告)日：2012-10-16
申请号：US11699745
申请日：2007-01-30
申请人： Ching Law , Gokul Rajaram , Rama Ranganath
发明人： Ching Law , Gokul Rajaram , Rama Ranganath
IPC分类号： G06Q10/00
CPC分类号： G06Q30/0201 , G06F17/30943 , G06Q30/02 , G06Q30/0204
摘要： A demographic attribute value of a sink online document (such as Websites or Web pages) may be determined given a set of users who have visited at least one of the source documents and the sink document, by (a) accepting a value(s) of the demographic attribute, each of which values is associated with a source online document (where each of the source online documents has a value for the demographic attribute and has been visited by at least one user of the given set), (b) determining an estimate of the demographic attribute value of each of the users of the given set using the accepted demographic attribute value of each of the source online documents visited by the user, and (c) determining the demographic attribute value of the sink online document using the determined estimate of the demographic attribute value of each of the users of the given set.
摘要翻译：可以通过以下方式来确定接收器在线文档（诸如网站或网页）的人口统计特性值：通过以下方式确定访问了源文档和汇文件中的至少一个的一组用户：（a）的人口统计属性，其中每个值与源在线文档相关联（其中每个源在线文档具有人口统计属性的值并且已经被给定集合的至少一个用户访问），（b）确定使用由用户访问的每个源在线文档的接受的人口统计属性值来估计给定集合的每个用户的人口统计属性值，以及（c）使用确定给定集合的每个用户的人口统计属性值的估计。

3. 发明授权

US06859801B1 Efficient memoryless protocol for tag identification 失效
标题翻译：用于标签识别的高效无记忆协议
公开(公告)号：US06859801B1
公开(公告)日：2005-02-22
申请号：US09870074
申请日：2001-05-30
申请人： Ching Law , Kayi Lee , Kai-Yeung Siu
发明人： Ching Law , Kayi Lee , Kai-Yeung Siu
IPC分类号： G01S13/75 , G06K7/10 , G06F17/30 , G01S5/04
CPC分类号： G06K7/10861 , G01S13/751 , G06K7/10049 , Y10S707/99933
摘要： The invention features a method and system for identifying a plurality of tags using an efficient memoryless protocol. The system includes a reader and a plurality of tags. The reader is adapted to maintain an ordered set of query strings; select a string from the set of query strings; broadcast a query message containing the selected string or a portion of the selected string to the tags; and receive a response from one of the tags. The tags operate without batteries and are adapted to respond to the selected string broadcast by the reader. Accordingly, the tag identification methods are efficient in terms of both time and communication complexities.
摘要翻译：本发明的特征在于使用有效的无记忆协议来识别多个标签的方法和系统。该系统包括读取器和多个标签。阅读器适用于维护一组有序的查询字符串; 从查询字符串集中选择一个字符串; 将包含所选字符串或所选字符串的一部分的查询消息广播到标签; 并从其中一个标签接收响应。标签在没有电池的情况下工作，并且适于响应于读取器广播的所选字符串。因此，标签识别方法在时间和通信复杂性方面是有效的。

4. 发明授权

US08918395B2 Categorizing objects, such as documents and/or clusters, with respect to a taxonomy and data structures derived from such categorization 有权
标题翻译：对诸如文档和/或聚类之类的对象进行分类，分类和从这些分类得到的数据结构
公开(公告)号：US08918395B2
公开(公告)日：2014-12-23
申请号：US13528197
申请日：2012-06-20
申请人： David Gehrking , Ching Law , Andrew Maxwell
发明人： David Gehrking , Ching Law , Andrew Maxwell
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3053 , G06F17/30598 , G06F17/30707 , G06F17/30864
摘要： A Website may be automatically categorized by (a) accepting Website information, (b) determining a set of scored clusters (e.g., semantic, term co-occurrence, etc.) for the Website using the Website information, and (c) determining at least one category (e.g., a vertical category) of a predefined taxonomy using at least some of the set of clusters.
摘要翻译：网站可以通过以下方式进行自动分类：（a）接收网站信息，（b）使用网站信息确定网站的一组评分聚类（例如语义，词汇共现等），以及（c）使用该组集合中的至少一些的预定义分类法的至少一个类别（例如，垂直类别）。

5. 发明授权

US08229957B2 Categorizing objects, such as documents and/or clusters, with respect to a taxonomy and data structures derived from such categorization 有权
标题翻译：对诸如文档和/或聚类之类的对象进行分类，分类和从这些分类得到的数据结构
公开(公告)号：US08229957B2
公开(公告)日：2012-07-24
申请号：US11112716
申请日：2005-04-22
申请人： David Gehrking , Ching Law , Andrew Maxwell
发明人： David Gehrking , Ching Law , Andrew Maxwell
IPC分类号： G05F7/00
CPC分类号： G06F17/3053 , G06F17/30598 , G06F17/30707 , G06F17/30864
摘要： A Website may be automatically categorized by (a) accepting Website information, (b) determining a set of scored clusters (e.g., semantic, term co-occurrence, etc.) for the Website using the Website information, and (c) determining at least one category (e.g., a vertical category) of a predefined taxonomy using at least some of the set of clusters.
摘要翻译：网站可以通过以下方式进行自动分类：（a）接收网站信息，（b）使用网站信息确定网站的一组评分聚类（例如语义，词汇共现等），以及（c）使用该组集合中的至少一些的预定义分类法的至少一个类别（例如，垂直类别）。

6. 发明申请

US20120166182A1 Autocompletion for Partially Entered Query 有权
标题翻译：部分输入查询的自动完成
公开(公告)号：US20120166182A1
公开(公告)日：2012-06-28
申请号：US13376364
申请日：2010-06-03
申请人： David H. Ko , Ching Law , Kayi Lee , Chi Yung Tse
发明人： David H. Ko , Ching Law , Kayi Lee , Chi Yung Tse
IPC分类号： G06F17/27 , G06F17/30
CPC分类号： G06F17/276 , G06F17/289 , G06F17/3064
摘要： A server system receives, respectively, a first character string from a first user and a second character string from a second user. There are one or more differences between the first and second character strings. The server system obtains from a plurality of previously submitted complete queries, respectively, a first set of predicted complete queries corresponding to the first character string and a second set of predicted complete queries corresponding to the second character string. There are one or more identical queries in both the first and second sets. The server system conveys at least a first subset of the first set to the first user and at least a second subset of the second set to the second user. Both the first subset and the second subset include a respective identical query.
摘要翻译：服务器系统分别接收来自第一用户的第一字符串和来自第二用户的第二字符串。第一个和第二个字符串之间有一个或多个差异。服务器系统分别从多个先前提交的完整查询中获得对应于第一字符串的第一组预测完成查询和对应于第二字符串的第二组预测完成查询。第一组和第二组中都有一个或多个相同的查询。服务器系统将第一组的至少第一子集传送给第一用户，并将第二组的至少第二子集传送给第二用户。第一子集和第二子集都包括各自相同的查询。

7. 发明申请

US20090070706A1 Placement Attribute Targeting 有权
标题翻译：展示位置属性定位
公开(公告)号：US20090070706A1
公开(公告)日：2009-03-12
申请号：US11854420
申请日：2007-09-12
申请人： Rama Ranganath , Deepak Jindal , Ching Law , Gokul Rajaram
发明人： Rama Ranganath , Deepak Jindal , Ching Law , Gokul Rajaram
IPC分类号： G06F3/00
CPC分类号： G06Q30/0251 , G06F17/3089 , G06Q30/02 , G06Q30/0277
摘要： A computer-implemented method includes determining an attribute of a web page to be displayed to a user at a location, selecting content corresponding to the determined web page attribute, and transmitting the selected content to the location for display as at least part of the web page.
摘要翻译：计算机实现的方法包括确定要在一个位置向用户显示的网页的属性，选择与所确定的网页属性相对应的内容，以及将所选择的内容发送到所述位置以作为网络的至少一部分进行显示页。

8. 发明授权

US08996550B2 Autocompletion for partially entered query 有权
标题翻译：自动完成部分输入的查询
公开(公告)号：US08996550B2
公开(公告)日：2015-03-31
申请号：US13376364
申请日：2010-06-03
申请人： David H. Ko , Ching Law , Kayi Lee , Chi Yung Tse
发明人： David H. Ko , Ching Law , Kayi Lee , Chi Yung Tse
IPC分类号： G06F17/30 , G06F17/27 , G06F17/28
CPC分类号： G06F17/276 , G06F17/289 , G06F17/3064
摘要： A server system receives, respectively, a first character string from a first user and a second character string from a second user. There are one or more differences between the first and second character strings. The server system obtains from a plurality of previously submitted complete queries, respectively, a first set of predicted complete queries corresponding to the first character string and a second set of predicted complete queries corresponding to the second character string. There are one or more identical queries in both the first and second sets. The server system conveys at least a first subset of the first set to the first user and at least a second subset of the second set to the second user. Both the first subset and the second subset include a respective identical query.
摘要翻译：服务器系统分别接收来自第一用户的第一字符串和来自第二用户的第二字符串。第一个和第二个字符串之间有一个或多个差异。服务器系统分别从多个先前提交的完整查询中获得对应于第一字符串的第一组预测完成查询和对应于第二字符串的第二组预测完成查询。第一组和第二组中都有一个或多个相同的查询。服务器系统将第一组的至少第一子集传送给第一用户，并将第二组的至少第二子集传送给第二用户。第一子集和第二子集都包括各自相同的查询。

9. 发明申请

US20080183557A1 Probabilistic inference of demographic information of a first domain using accepted demographic information of one or more source domains and a probability that a user will visit both the source domain(s) and the first domain 失效
标题翻译：使用一个或多个源域的接受的人口统计信息对第一域的人口统计信息进行概率推断，以及用户将访问源域和第一域的概率
公开(公告)号：US20080183557A1
公开(公告)日：2008-07-31
申请号：US11699754
申请日：2007-01-30
申请人： Ching Law , Gokul Rajaram , Rama Ranganath
发明人： Ching Law , Gokul Rajaram , Rama Ranganath
IPC分类号： G06F17/30
CPC分类号： G06F17/30943 , G06Q30/02 , G06Q30/0204
摘要： A demographic attribute value of a sink online document may be determined by (a) accepting a value(s) of the demographic attribute of a source online document, (b) accepting, for each of the source online documents having an accepted demographic attribute value, a probability that a user will visit or has visited the sink online document if the user visited the source online document, and (c) determining the demographic attribute value of the sink online document using the demographic attribute value of each of the source online documents and the probabilities. A demographic attribute value of the sink online document may also be determined using the above information and using the demographic attribute value of each of the source online documents and the probabilities that a user will visit or has visited the sink online document if the user visited the other online document.
摘要翻译：可以通过（a）接受源在线文档的人口统计属性的值，（b）对于具有接受的人口统计属性值的每个源在线文档来接受汇数在线文档的人口特性值如果用户访问源在线文档，用户将访问或已经访问接收器在线文档的概率，以及（c）使用每个源在线文档的人口统计属性值来确定接收器在线文档的人口统计属性值和概率。还可以使用上述信息来确定接收器在线文档的人口统计属性值，并且如果用户访问了在线文档，则使用每个源在线文档的人口统计属性值以及用户将访问或已经访问接收者在线文档的概率其他在线文件。

10. 发明申请

US20060242147A1 Categorizing objects, such as documents and/or clusters, with respect to a taxonomy and data structures derived from such categorization 有权
标题翻译：对诸如文档和/或聚类之类的对象进行分类，分类和从这些分类得到的数据结构
公开(公告)号：US20060242147A1
公开(公告)日：2006-10-26
申请号：US11112716
申请日：2005-04-22
申请人： David Gehrking , Ching Law , Andrew Maxwell
发明人： David Gehrking , Ching Law , Andrew Maxwell
IPC分类号： G06F7/00
CPC分类号： G06F17/3053 , G06F17/30598 , G06F17/30707 , G06F17/30864
摘要： A Website may be automatically categorized by (a) accepting Website information, (b) determining a set of scored clusters (e.g., semantic, term co-occurrence, etc.) for the Website using the Website information, and (c) determining at least one category (e.g., a vertical category) of a predefined taxonomy using at least some of the set of clusters. A semantic cluster (e.g., a term co-occurrence cluster) may be automatically associated with one or more categories (e.g., vertical categories) of a predefined taxonomy by (a) accepting a semantic cluster, (b) identifying a set of a one or more scored concepts using the accepted cluster, (c) identifying a set of one or more categories using at least some of the one or more scored concepts, and (d) associating at least some of the one or more categories with the semantic cluster. A property (e.g., a Website) may be associated with one or more categories (e.g., vertical categories) of a predefined taxonomy by (a) accepting information about the property, (b) identifying a set of a one or more scored semantic clusters (e.g., term co-occurrence clusters) using the accepted property information, (c) identifying a set of one or more categories (e.g., vertical categories) using at least some of the one or more scored semantic clusters, and (d) associating at least some of the one or more categories with the property.
摘要翻译：网站可以通过以下方式进行自动分类：（a）接收网站信息，（b）使用网站信息确定网站的一组评分聚类（例如语义，词汇共现等），以及（c）使用该组集合中的至少一些的预定义分类法的至少一个类别（例如，垂直类别）。语义集群（例如，术语同现集群）可以通过以下方式自动地与预定义分类法的一个或多个类别（例如，垂直类别）相关联：（a）接受语义聚类，（b）识别一个（c）使用所述一个或多个得分概念中的至少一些来识别一组或多个类别的集合，以及（d）将所述一个或多个类别中的至少一些与所述语义集群相关联。属性（例如，网站）可以通过以下方式与预定义分类法的一个或多个类别（例如，垂直类别）相关联：（a）接受关于该属性的信息，（b）识别一个或多个划分的语义聚类（c）使用所述一个或多个记分语义聚类中的至少一些来识别一个或多个类别（例如，垂直类别）的集合，以及（d）关联（例如，术语同现集群）至少一些属性的一个或多个类别。

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