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11. 发明授权

US08527524B2 Document scoring based on document content update 有权
标题翻译：基于文档内容更新的文档评分
公开(公告)号：US08527524B2
公开(公告)日：2013-09-03
申请号：US13174304
申请日：2011-06-30
申请人： Anurag Acharya , Jeffrey Dean , Paul Haahr , Monika Henzinger , Steve Lawrence , Karl Pfleger , Simon Tong
发明人： Anurag Acharya , Jeffrey Dean , Paul Haahr , Monika Henzinger , Steve Lawrence , Karl Pfleger , Simon Tong
IPC分类号： G06F7/00
CPC分类号： G06Q30/0246 , G06F17/30864 , Y10S707/99933
摘要： A system may determine a measure of how a content of a document changes over time, generate a score for the document based, at least in part, on the measure of how the content of the document changes over time, and rank the document with regard to at least one other document based, at least in part, on the score.
摘要翻译：系统可以确定文档的内容如何随时间而变化的度量，至少部分地基于文档的内容如何随时间而变化的度量，以及关于文档的排序，至少部分地基于该分数至少一个其他文档。

12. 发明授权

US08521725B1 Systems and methods for improved searching 有权
公开(公告)号：US08521725B1
公开(公告)日：2013-08-27
申请号：US10726345
申请日：2003-12-03
申请人： Mark Pearson , Simon Tong
发明人： Mark Pearson , Simon Tong
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3053 , G06F17/30675 , G06F17/30864 , H04L67/42
摘要： Methods and systems for improved searching are described. In one of the described methods, a user enters a search query, and in response, a search engine receives a substantially complete initial search result set having a plurality of ranked article identifiers. The search engine automatically selects at least one of the article identifiers and provides a final result set in which the selected article identifier is ranked higher than in the initial search result set.

13. 发明授权

US08452758B2 Methods and systems for improving a search ranking using related queries 有权
公开(公告)号：US08452758B2
公开(公告)日：2013-05-28
申请号：US13438145
申请日：2012-04-03
申请人： Simon Tong , Mark Pearson , Sergey Brin
发明人： Simon Tong , Mark Pearson , Sergey Brin
IPC分类号： G06F7/00
CPC分类号： G06F17/30864 , Y10S707/99933 , Y10S707/99935 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945
摘要： Systems and methods that improve search rankings for a search query by using data associated with queries related to the search query are described. In one aspect, a search query is received, a related query related to the search query is determined, an article (such as a web page) associated with the search query is determined, and a ranking score for the article based at least in part on data associated with the related query is determined. Several algorithms and types of data associated with related queries useful in carrying out such systems and methods are described.

14. 发明授权

US08402032B1 Generating context-based spell corrections of entity names 有权
公开(公告)号：US08402032B1
公开(公告)日：2013-03-19
申请号：US13071378
申请日：2011-03-24
申请人： Lawrence J. Brunsman , Matthieu Devin , Uri N. Lerner , Simon Tong
发明人： Lawrence J. Brunsman , Matthieu Devin , Uri N. Lerner , Simon Tong
IPC分类号： G06F17/30
CPC分类号： G06F17/273 , G06F17/278 , G06F17/2795 , G06F17/30672 , G06F17/30864
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for correcting entity names. One method includes receiving texts and deriving a plurality of name-context pairs from the texts. The method further includes calculating a context consistency measure for each name-context pair and storing context-entity name data representing the name-context pairs. Another method includes identifying an entity name and one or more context terms from a query and generating candidate names for the entity name. The method further includes determining a score for each of the candidate names, selecting a number of top scoring candidate names, and using the selected candidate names to respond to the query.

15. 发明授权

US08364618B1 Large scale machine learning systems and methods 有权
标题翻译：大型机器学习系统和方法
公开(公告)号：US08364618B1
公开(公告)日：2013-01-29
申请号：US13487873
申请日：2012-06-04
申请人： Jeremy Bem , Georges R. Harik , Joshua L. Levenberg , Noam Shazeer , Simon Tong
发明人： Jeremy Bem , Georges R. Harik , Joshua L. Levenberg , Noam Shazeer , Simon Tong
IPC分类号： G06F15/18 , G06F17/30
CPC分类号： G06F17/30528 , G06F17/3053 , G06F17/30687 , G06F17/3071 , G06F17/30864 , G06F17/30867 , G06N7/005 , G06N99/005 , Y10S707/99933 , Y10S707/99935 , Y10S707/99943
摘要： A system for generating a model is provided. The system generates, or selects, candidate conditions and generates, or otherwise obtains, statistics regarding the candidate conditions. The system also forms rules based, at least in part, on the statistics and the candidate conditions and selectively adds the rules to the model.
摘要翻译：提供了一种用于生成模型的系统。系统生成或选择候选条件，并生成或以其他方式获得有关候选条件的统计信息。该系统至少部分地基于统计和候选条件形成规则，并选择性地将规则添加到模型中。

16. 发明申请

US20120191705A1 METHODS AND SYSTEMS FOR IMPROVING A SEARCH RANKING USING RELATED QUERIES 有权
公开(公告)号：US20120191705A1
公开(公告)日：2012-07-26
申请号：US13438145
申请日：2012-04-03
申请人： Simon Tong , Mark Pearson , Sergey Brin
发明人： Simon Tong , Mark Pearson , Sergey Brin
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99933 , Y10S707/99935 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945
摘要： Systems and methods that improve search rankings for a search query by using data associated with queries related to the search query are described. In one aspect, a search query is received, a related query related to the search query is determined, an article (such as a web page) associated with the search query is determined, and a ranking score for the article based at least in part on data associated with the related query is determined. Several algorithms and types of data associated with related queries useful in carrying out such systems and methods are described.

17. 发明授权

US08175914B1 Automatic adjustment of advertiser bids to equalize cost-per-conversion among publishers for an advertisement 有权
标题翻译：自动调整广告客户的出价以平衡广告发布商的每次转化费用
公开(公告)号：US08175914B1
公开(公告)日：2012-05-08
申请号：US11830728
申请日：2007-07-30
申请人： Scott S. Benson , Simon Tong
发明人： Scott S. Benson , Simon Tong
IPC分类号： G06Q40/00 , G06Q30/00
CPC分类号： G06Q10/025 , G06Q20/105 , G06Q30/0242 , G06Q30/0275 , G06Q40/08
摘要： A learning model is built on a combination of advertiser, publisher and user data. The learning model can be applied to all advertisers in an advertising system. The learning model provides predicted conversion rates for a given advertisement (“ad”) appearing on different publisher networks. A predicted conversion rate represents the probability that a click on a given ad appearing on a given publisher will lead to a conversion. The predicted conversion rates are used to generate a multiplier. The multiplier is used to automatically adjust the advertiser's bid (e.g., maximum cost-per-click (CPC)) for the given ad prior to an auction for the ad. Adjusting the advertiser's bid equalizes a cost-per-conversion among the publishers for the ad.
摘要翻译：学习模型建立在广告客户，发布商和用户数据的组合之上。学习模型可以应用于广告系统中的所有广告客户。学习模型提供了在不同发布商网络上出现的给定广告（“广告”）的预测转化率。预测的转化率表示在给定发布商上显示的给定广告的点击将导致转化的可能性。预测的转换率用于产生乘数。该倍数用于在广告拍卖之前自动调整广告商的出价（例如，最高每次点击费用（CPC））给定的广告。调整广告客户的出价会使广告发布商的每次转化费用相等。

18. 发明申请

US20120089586A1 Methods and Systems for Improving a Search Ranking Using Population Information 有权
标题翻译：使用人口信息改进搜索排名的方法和系统
公开(公告)号：US20120089586A1
公开(公告)日：2012-04-12
申请号：US13327456
申请日：2011-12-15
申请人： Simon Tong , Mark Pearson
发明人： Simon Tong , Mark Pearson
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99935
摘要： Systems and methods that improve search rankings for a search query by using data associated with queries related to the search query are described. In one aspect, a search query is received, a population associated with the search query is determined, an article (such as a webpage) associated with the search query is determined, and a ranking score for the article based at least in part on data associated with the population is determined. Algorithms and types of data associated with a population useful in carrying out such systems and methods are described.
摘要翻译：描述通过使用与搜索查询相关联的查询相关联的数据来提高搜索查询的搜索排名的系统和方法。在一个方面，接收到搜索查询，确定与搜索查询相关联的群体，确定与搜索查询相关联的文章（例如网页），以及至少部分地基于数据的文章的排名得分确定与人口相关联。描述了与实现这种系统和方法有用的总体相关联的数据的算法和类型。

19. 发明授权

US08051071B2 Document scoring based on query analysis 有权
标题翻译：基于查询分析的文档评分
公开(公告)号：US08051071B2
公开(公告)日：2011-11-01
申请号：US11562617
申请日：2006-11-22
申请人： Jeffrey Dean , Paul Haahr , Monika Henzinger , Steve Lawrence , Karl Pfleger , Olcan Sercinoglu , Simon Tong
发明人： Jeffrey Dean , Paul Haahr , Monika Henzinger , Steve Lawrence , Karl Pfleger , Olcan Sercinoglu , Simon Tong
IPC分类号： G06F7/00
CPC分类号： G06Q30/0246 , G06F17/30864 , Y10S707/99933
摘要： A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.
摘要翻译：当文档被包括在一组搜索结果中时，系统可以确定文档被选择的程度，至少部分地基于在文档是文档是文档时选择文档的程度的文档的分数包含在一组搜索结果中; 并且至少部分地基于得分来排列关于至少一个其他文档的文档。

20. 发明授权

US07769763B1 Large scale machine learning systems and methods 有权
标题翻译：大型机器学习系统和方法
公开(公告)号：US07769763B1
公开(公告)日：2010-08-03
申请号：US11736193
申请日：2007-04-17
申请人： Jeremy Bem , Georges R. Harik , Joshua L. Levenberg , Noam Shazeer , Simon Tong
发明人： Jeremy Bem , Georges R. Harik , Joshua L. Levenberg , Noam Shazeer , Simon Tong
IPC分类号： G06F7/00 , G06F15/18 , G06F17/30
CPC分类号： G06F17/30528 , G06F17/3053 , G06F17/30687 , G06F17/3071 , G06F17/30864 , G06F17/30867 , G06N7/005 , G06N99/005 , Y10S707/99933 , Y10S707/99935 , Y10S707/99943
摘要： A system for generating a model is provided. The system generates, or selects, candidate conditions and generates, or otherwise obtains, statistics regarding the candidate conditions. The system also forms rules based, at least in part, on the statistics and the candidate conditions and selectively adds the rules to the model.
摘要翻译：提供了一种用于生成模型的系统。系统生成或选择候选条件，并生成或以其他方式获得有关候选条件的统计信息。该系统至少部分地基于统计和候选条件形成规则，并选择性地将规则添加到模型中。

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