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1. 发明申请

US20150100437A1 TECHNIQUES FOR ORGANIZING AND PRESENTING DEAL CONTENT 有权
标题翻译：组织和陈述交易内容的技术
公开(公告)号：US20150100437A1
公开(公告)日：2015-04-09
申请号：US13814714
申请日：2012-06-29
申请人： Jiacheng Guo , Li He , Sen Liu
发明人： Jiacheng Guo , Li He , Sen Liu
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0277 , G06F17/30864 , G06Q10/107 , G06Q30/0224 , G06Q30/0255 , G06Q30/0267 , G06Q30/0276
摘要： Techniques for organizing and presenting deals/commercial offers received by users in emails are provided. Emails directed to a user that contain commercial offers for the user are determined. The determined emails are stored in a deal folder for the user. A deal newsletter is generated that at least summarizes commercial offers contained in at least a portion of the emails stored in the deal folder. The deal folder may be displayed to show the user the received deal emails. Furthermore, the deal newsletter may be displayed to the user to summarize the received deals for the user.
摘要翻译：提供用于组织和呈现用户在电子邮件中收到的交易/商业广告的技术。确定指向用户的电子邮件，其中包含用户的商业报价。确定的电子邮件存储在用户的交易文件夹中。生成交易通讯，至少总结包含在交易文件夹中存储的至少一部分电子邮件中的商业优惠。可以显示交易文件夹以向用户显示接收到的交易电子邮件。此外，可以向用户显示交易通讯以总结用户接收到的交易。

2. 发明授权

US09384502B2 Techniques for organizing and presenting deal content 有权
标题翻译：组织和呈现交易内容的技术
公开(公告)号：US09384502B2
公开(公告)日：2016-07-05
申请号：US13814714
申请日：2012-06-29
申请人： Jiacheng Guo , Li He , Sen Liu
发明人： Jiacheng Guo , Li He , Sen Liu
IPC分类号： G06Q30/00 , G06F17/00 , G06Q30/02 , G06F17/30 , G06Q10/10
CPC分类号： G06Q30/0277 , G06F17/30864 , G06Q10/107 , G06Q30/0224 , G06Q30/0255 , G06Q30/0267 , G06Q30/0276
摘要： Techniques for organizing and presenting deals/commercial offers received by users in emails are provided. Emails directed to a user that contain commercial offers for the user are determined. The determined emails are stored in a deal folder for the user. A deal newsletter is generated that at least summarizes commercial offers contained in at least a portion of the emails stored in the deal folder. The deal folder may be displayed to show the user the received deal emails. Furthermore, the deal newsletter may be displayed to the user to summarize the received deals for the user.
摘要翻译：提供用于组织和呈现用户在电子邮件中收到的交易/商业广告的技术。确定指向用户的电子邮件，其中包含用户的商业报价。确定的电子邮件存储在用户的交易文件夹中。生成交易通讯，至少总结包含在交易文件夹中存储的至少一部分电子邮件中的商业优惠。可以显示交易文件夹以向用户显示接收到的交易电子邮件。此外，可以向用户显示交易通讯以总结用户接收到的交易。

3. 发明申请

US20140081744A1 SYSTEMS AND METHODS FOR LIST RANKING AND ADS PLACEMENT USING INTERACTION FEATURES 有权
标题翻译：使用交互特征的列表排序和放置的系统和方法
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。

4. 发明授权

US08620744B2 Systems and methods for list ranking and ads placement using interaction features 有权
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.

5. 发明申请

US20120143672A1 Systems and Methods for List Ranking and Ads Placement Using Interaction Freatures 有权
标题翻译：使用互动自由的列表排名和广告展示的系统和方法
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。

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