专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20110289079A1 DYNAMIC LAYOUT FOR A SEARCH ENGINE RESULTS PAGE BASED ON IMPLICIT USER FEEDBACK 有权
标题翻译：基于隐含用户反馈的搜索引擎结果页面动态布局
公开(公告)号：US20110289079A1
公开(公告)日：2011-11-24
申请号：US13193362
申请日：2011-07-28
申请人： Christopher LuVogt , Erick Cantu-Paz
发明人： Christopher LuVogt , Erick Cantu-Paz
IPC分类号： G06F17/30 , G06F15/16 , G06F3/048
CPC分类号： G06F17/30867 , G06F17/30905
摘要： The present invention is directed towards systems and methods for providing dynamic search results based upon historical data through the use of one or more widgets. The method of the present invention comprises receiving a request for content from a client and generating one or more widgets for providing search result content. A display profile is applied to the one or more widgets and the one or more widgets are combined with static search results to form a search result page that is provided to a requesting client.
摘要翻译：本发明涉及用于通过使用一个或多个小部件来提供基于历史数据的动态搜索结果的系统和方法。本发明的方法包括从客户端接收对内容的请求，并且生成用于提供搜索结果内容的一个或多个小部件。将显示简档应用于一个或多个小部件，并且一个或多个小部件与静态搜索结果组合以形成提供给请求客户端的搜索结果页面。

2. 发明申请

US20090276729A1 ADAPTIVE USER FEEDBACK WINDOW 有权
标题翻译：自适应用户反馈窗口
公开(公告)号：US20090276729A1
公开(公告)日：2009-11-05
申请号：US12112942
申请日：2008-04-30
申请人： Erick Cantu-Paz
发明人： Erick Cantu-Paz
IPC分类号： G06F3/048
CPC分类号： G06F17/30873
摘要： The subject matter disclosed herein relates to maintaining a history of user interaction data within a sliding window, where the sliding window may be sized based at least in part on a quantification of such user interaction.
摘要翻译：本文公开的主题涉及在滑动窗口内维护用户交互数据的历史，其中至少部分地基于这种用户交互的量化来确定滑动窗口的大小。

3. 发明授权

US07062504B2 Creating ensembles of oblique decision trees with evolutionary algorithms and sampling 失效
公开(公告)号：US07062504B2
公开(公告)日：2006-06-13
申请号：US10133992
申请日：2002-04-25
申请人： Erick Cantu-Paz , Chandrika Kamath
发明人： Erick Cantu-Paz , Chandrika Kamath
IPC分类号： G06F17/00
CPC分类号： G06K9/6282 , G06N3/126 , Y10S707/968 , Y10S707/99943
摘要： A decision tree system that is part of a parallel object-oriented pattern recognition system, which in turn is part of an object oriented data mining system. A decision tree process includes the step of reading the data. If necessary, the data is sorted. A potential split of the data is evaluated according to some criterion. An initial split of the data is determined. The final split of the data is determined using evolutionary algorithms and statistical sampling techniques. The data is split. Multiple decision trees are combined in ensembles.

4. 发明授权

US06675164B2 Parallel object-oriented data mining system 失效
标题翻译：并行面向对象数据挖掘系统
公开(公告)号：US06675164B2
公开(公告)日：2004-01-06
申请号：US09877685
申请日：2001-06-08
申请人： Chandrika Kamath , Erick Cantu-Paz
发明人： Chandrika Kamath , Erick Cantu-Paz
IPC分类号： G06F1730
CPC分类号： G06K9/6282 , G06F17/30539 , Y10S707/99936
摘要： A data mining system uncovers patterns, associations, anomalies and other statistically significant structures in data. Data files are read and displayed. Objects in the data files are identified. Relevant features for the objects are extracted. Patterns among the objects are recognized based upon the features. Data from the Faint Images of the Radio Sky at Twenty Centimeters (FIRST) sky survey was used to search for bent doubles. This test was conducted on data from the Very Large Array in New Mexico which seeks to locate a special type of quasar (radio-emitting stellar object) called bent doubles. The FIRST survey has generated more than 32,000 images of the sky to date. Each image is 7.1 megabytes, yielding more than 100 gigabytes of image data in the entire data set.
摘要翻译：数据挖掘系统揭示数据中的模式，关联，异常和其他统计上显着的结构。读取和显示数据文件。识别数据文件中的对象。提取对象的相关特征。基于特征识别对象中的图案。来自二十厘米广播天空（FIRST）天空调查的微弱图像的数据用于搜索弯曲的双打。该测试是根据新墨西哥州的超大阵列的数据进行的，该数据库旨在找到称为弯曲双打的特殊类型的类星体（无线电发射恒星物体）。第一次调查迄今已产生超过32,000幅天空的图像。每个图像是7.1兆字节，在整个数据集中产生超过100吉字节的图像数据。

5. 发明授权

US08683379B2 Dynamic layout for a search engine results page based on implicit user feedback 有权
标题翻译：基于隐含用户反馈的搜索引擎结果页面的动态布局
公开(公告)号：US08683379B2
公开(公告)日：2014-03-25
申请号：US13193362
申请日：2011-07-28
申请人： Christopher LuVogt , Erick Cantu-Paz
发明人： Christopher LuVogt , Erick Cantu-Paz
IPC分类号： G06F3/048
CPC分类号： G06F17/30867 , G06F17/30905
摘要： The present invention is directed towards systems and methods for providing dynamic search results based upon historical data through the use of one or more widgets. The method of the present invention comprises receiving a request for content from a client and generating one or more widgets for providing search result content. A display profile is applied to the one or more widgets and the one or more widgets are combined with static search results to form a search result page that is provided to a requesting client.
摘要翻译：本发明涉及用于通过使用一个或多个小部件来提供基于历史数据的动态搜索结果的系统和方法。本发明的方法包括从客户端接收对内容的请求，并且生成用于提供搜索结果内容的一个或多个小部件。将显示简档应用于一个或多个小部件，并且一个或多个小部件与静态搜索结果组合以形成提供给请求客户端的搜索结果页面。

6. 发明授权

US08364525B2 Using clicked slate driven click-through rate estimates in sponsored search 有权
标题翻译：在赞助搜索中使用点击式平板驱动的点击率估算
公开(公告)号：US08364525B2
公开(公告)日：2013-01-29
申请号：US12956496
申请日：2010-11-30
申请人： Divy Kothiwal , Kannan Achan , Eren Manavoglu , Erick Cantu-Paz
发明人： Divy Kothiwal , Kannan Achan , Eren Manavoglu , Erick Cantu-Paz
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0256 , G06Q30/0241 , G06Q30/0251
摘要： A computer-implemented method and system for selecting a subject advertisement in a sponsored search system based on a user's commercial intent (pertaining to the subject advertisement), using techniques for determining intent-driven clicks from a historical database. The method includes steps for aggregating a training model dataset wherein the training model dataset contains a selected history of clicks. Then, selecting from the training model dataset, a clicked slate (further selection of clicks), the clicked slate comprising a set of clicked ads, and calculating an intent-driven click feedback value for the subject advertisement. The method includes techniques for selecting a clicked slate using features corresponding to clicks received within a particular time period (the time period determined statically or dynamically). A system for implementing the method includes aggregating data from a historical database using selectors such as a position selector, a click feature selector, an impression-advertiser-campaign-creative selector, and a commercial intent selector.
摘要翻译：一种计算机实现的方法和系统，用于使用用于从历史数据库确定意图驱动的点击的技术，基于用户的商业意图（涉及主题广告）在赞助搜索系统中选择主题广告。该方法包括用于聚合训练模型数据集的步骤，其中训练模型数据集包含所选择的点击历史。然后，从训练模型数据集中选择点击的图表（进一步选择点击次数），点击的图片包括一组点击的广告，以及计算该主题广告的意图驱动的点击反馈值。该方法包括使用与在特定时间段（静态或动态确定的时间段）内接收的点击对应的特征来选择点击的平板的技术。用于实现该方法的系统包括使用诸如位置选择器，点击特征选择器，展示广告商 - 广告系列创意选择器和商业意图选择器之类的选择器来汇总来自历史数据库的数据。

7. 发明授权

US08229786B2 Click probability with missing features in sponsored search 有权
标题翻译：在赞助搜索中点击遗漏特征的概率
公开(公告)号：US08229786B2
公开(公告)日：2012-07-24
申请号：US12755226
申请日：2010-04-06
申请人： Ozgur Cetin , Kannan Achan , Erick Cantu-Paz , Rukmini Iyer
发明人： Ozgur Cetin , Kannan Achan , Erick Cantu-Paz , Rukmini Iyer
IPC分类号： G06Q30/00
CPC分类号： G06Q30/00 , G06Q30/0207 , G06Q30/0243
摘要： Sponsored search advertising utilizes a click probability as one factor in selecting and ranking advertisements that are displayed with search results. The probability of click may also be referred to as a predicted click-through rate (“CTR”) that may be multiplied by an advertiser's bid for a particular advertisement to rank the display of advertisements. An accurate prediction of the click probability improves the potential revenue that is generated by advertisements in a pay per click system. Other advertising systems may benefit from an accurate and reliable estimate for an advertisement's probability of click in different environments and scenarios.
摘要翻译：赞助搜索广告利用点击概率作为选择和排列与搜索结果一起显示的广告的一个因素。点击的概率也可以被称为可以乘以广告商针对特定广告的出价来对广告的显示进行排名的预测点击率（“CTR”）。对点击概率的准确预测提高了每次点击付费系统中广告产生的潜在收入。其他广告系统可能会从广告在不同环境和场景中的点击概率的准确可靠估计中获益。

8. 发明申请

US20110246286A1 CLICK PROBABILITY WITH MISSING FEATURES IN SPONSORED SEARCH 有权
标题翻译：点击可靠性与丢失的特征在赞助的搜索
公开(公告)号：US20110246286A1
公开(公告)日：2011-10-06
申请号：US12755226
申请日：2010-04-06
申请人： Ozgur Cetin , Kannan Achan , Erick Cantu-Paz , Rukmini Iyer
发明人： Ozgur Cetin , Kannan Achan , Erick Cantu-Paz , Rukmini Iyer
IPC分类号： G06Q30/00 , G06F17/30
CPC分类号： G06Q30/00 , G06Q30/0207 , G06Q30/0243
摘要： Sponsored search advertising utilizes a click probability as one factor in selecting and ranking advertisements that are displayed with search results. The probability of click may also be referred to as a predicted click-through rate (“CTR”) that may be multiplied by an advertiser's bid for a particular advertisement to rank the display of advertisements. An accurate prediction of the click probability improves the potential revenue that is generated by advertisements in a pay per click system. Other advertising systems may benefit from an accurate and reliable estimate for an advertisement's probability of click in different environments and scenarios.
摘要翻译：赞助搜索广告利用点击概率作为选择和排列与搜索结果一起显示的广告的一个因素。点击的概率也可以被称为可以乘以广告商针对特定广告的出价来对广告的显示进行排名的预测点击率（“CTR”）。对点击概率的准确预测提高了每次点击付费系统中广告产生的潜在收入。其他广告系统可能会从广告在不同环境和场景中的点击概率的准确可靠估计中获益。

9. 发明申请

US20080295006A1 DYNAMIC LAYOUT FOR A SEARCH ENGINE RESULTS PAGE BASED OF IMPLICIT USER FEEDBACK 有权
标题翻译：基于隐含用户反馈的搜索引擎结果页面动态布局
公开(公告)号：US20080295006A1
公开(公告)日：2008-11-27
申请号：US11752001
申请日：2007-05-22
申请人： Christopher LuVogt , Erick Cantu-Paz
发明人： Christopher LuVogt , Erick Cantu-Paz
IPC分类号： G06F3/048 , G06F3/14 , G06F15/16
CPC分类号： G06F17/30867 , G06F17/30905
摘要： The present invention is directed towards systems and methods for providing dynamic search results based upon historical data through the use of one or more widgets. The method of the present invention comprises receiving a request for content from a client and generating one or more widgets for providing search result content. A display profile is applied to the one or more widgets and the one or more widgets are combined with static search results to form a search result page that is provided to a requesting client.
摘要翻译：本发明涉及用于通过使用一个或多个小部件来提供基于历史数据的动态搜索结果的系统和方法。本发明的方法包括从客户端接收对内容的请求，并且生成用于提供搜索结果内容的一个或多个小部件。将显示简档应用于一个或多个小部件，并且一个或多个小部件与静态搜索结果组合以形成提供给请求客户端的搜索结果页面。

10. 发明申请

US20120136722A1 Using Clicked Slate Driven Click-Through Rate Estimates in Sponsored Search 有权
标题翻译：使用Clicked Slate驱动的点击率估计在赞助搜索
公开(公告)号：US20120136722A1
公开(公告)日：2012-05-31
申请号：US12956496
申请日：2010-11-30
申请人： Divy Kothiwal , Kannan Achan , Eren Manavoglu , Erick Cantu-Paz
发明人： Divy Kothiwal , Kannan Achan , Eren Manavoglu , Erick Cantu-Paz
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0256 , G06Q30/0241 , G06Q30/0251
摘要： A computer-implemented method and system for selecting a subject advertisement in a sponsored search system based on a user's commercial intent (pertaining to the subject advertisement), using techniques for determining intent-driven clicks from a historical database. The method includes steps for aggregating a training model dataset wherein the training model dataset contains a selected history of clicks. Then, selecting from the training model dataset, a clicked slate (further selection of clicks), the clicked slate comprising a set of clicked ads, and calculating an intent-driven click feedback value for the subject advertisement. The method includes techniques for selecting a clicked slate using features corresponding to clicks received within a particular time period (the time period determined statically or dynamically). A system for implementing the method includes aggregating data from a historical database using selectors such as a position selector, a click feature selector, an impression-advertiser-campaign-creative selector, and a commercial intent selector.
摘要翻译：一种计算机实现的方法和系统，用于使用用于从历史数据库确定意图驱动的点击的技术，基于用户的商业意图（涉及主题广告）在赞助搜索系统中选择主题广告。该方法包括用于聚合训练模型数据集的步骤，其中训练模型数据集包含所选择的点击历史。然后，从训练模型数据集中选择点击的图表（进一步选择点击次数），点击的点击包括一组点击的广告，以及计算主题广告的意图驱动的点击反馈值。该方法包括使用与在特定时间段（静态或动态确定的时间段）内接收的点击对应的特征来选择点击的平板的技术。用于实现该方法的系统包括使用诸如位置选择器，点击特征选择器，展示广告商 - 广告系列创意选择器和商业意图选择器之类的选择器来汇总来自历史数据库的数据。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式