公开(公告)号：US08620744B2

公开(公告)日：2013-12-31

申请号：US12982539

申请日：2010-12-30

申请人： Siyu You ,  Jiacheng Guo ,  Quansheng Duan

发明人： Siyu You ,  Jiacheng Guo ,  Quansheng Duan

IPC分类号： G06Q30/00

CPC分类号： G06Q30/0247 ,  G06Q30/0243

摘要： Systems and methods for placing ads in a block on a webpage are disclosed. Generally, two ranking models are trained using a first and second ads data set. The first model predicts a first click probability for each ad in the first ads data and rank the ads based on the eCPM. The second model is trained using the second ads data set comprising a subset of the first ads data set and interaction features related to ad position in the block. The second model predicts a second click probability for each ad in the second ads data set. An overall expected revenue for each arrangement of ads in the second ads data set is then calculated. The computer system selects the arrangement with maximum computed overall expected revenue and places the ads in the block on the webpage according to the selected arrangement.

公开(公告)号：US20120143672A1

公开(公告)日：2012-06-07

申请号：US12982539

申请日：2010-12-30

申请人： Siyu You ,  Jiacheng Guo ,  Quansheng Duan

发明人： Siyu You ,  Jiacheng Guo ,  Quansheng Duan

IPC分类号： G06Q30/00

CPC分类号： G06Q30/0247 ,  G06Q30/0243

摘要： Systems and methods for placing ads in a block on a webpage are disclosed. Generally, two ranking models are trained using a first and second ads data set. The first model predicts a first click probability for each ad in the first ads data and rank the ads based on the eCPM. The second model is trained using the second ads data set comprising a subset of the first ads data set and interaction features related to ad position in the block. The second model predicts a second click probability for each ad in the second ads data set. An overall expected revenue for each arrangement of ads in the second ads data set is then calculated. The computer system selects the arrangement with maximum computed overall expected revenue and places the ads in the block on the webpage according to the selected arrangement.

摘要翻译： 公开了将广告放置在网页上的块中的系统和方法。 通常，使用第一和第二广告数据集来训练两个排名模型。 第一个模型预测了第一个广告数据中每个广告的首次点击概率，并根据有效每千次展示费用对广告进行排名。 使用第二广告数据集来训练第二模型，该第二广告数据集包括第一广告数据集的一部分和与该块中的广告位置相关的交互特征。 第二种模式预测第二个广告数据集中每个广告的第二次点击概率。 然后计算第二个广告数据集中每个广告排列的整体预期收入。 计算机系统选择具有最大计算总体预期收入的布置，并根据所选择的布置将广告放置在网页上。

公开(公告)号：US20140081744A1

公开(公告)日：2014-03-20

申请号：US14090972

申请日：2013-11-26

申请人： Siyu YOU ,  Jiacheng GUO ,  Quansheng DUAN

发明人： Siyu YOU ,  Jiacheng GUO ,  Quansheng DUAN

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0247 ,  G06Q30/0243

摘要： Systems and methods for placing ads in a block on a webpage are disclosed. Generally, two ranking models are trained using a first and second ads data set. The first model predicts a first click probability for each ad in the first ads data and rank the ads based on the eCPM. The second model is trained using the second ads data set comprising a subset of the first ads data set and interaction features related to ad position in the block. The second model predicts a second click probability for each ad in the second ads data set. An overall expected revenue for each arrangement of ads in the second ads data set is then calculated. The computer system selects the arrangement with maximum computed overall expected revenue and places the ads in the block on the webpage according to the selected arrangement.

摘要翻译： 公开了将广告放置在网页上的块中的系统和方法。 通常，使用第一和第二广告数据集来训练两个排名模型。 第一个模型预测了第一个广告数据中每个广告的首次点击概率，并根据有效每千次展示费用对广告进行排名。 使用第二广告数据集来训练第二模型，该第二广告数据集包括第一广告数据集的一部分和与该块中的广告位置相关的交互特征。 第二种模式预测第二个广告数据集中每个广告的第二次点击概率。 然后计算第二个广告数据集中每个广告排列的整体预期收入。 计算机系统选择具有最大计算总体预期收入的布置，并根据所选择的布置将广告放置在网页上。