公开(公告)号：US20090327168A1

公开(公告)日：2009-12-31

申请号：US12147342

申请日：2008-06-26

Applicant: Kilian Quirin Weinberger ,  Anirban Dasgupta ,  Raghu Ramakrishnan ,  David Reiley ,  Martin Andre Monroe Zinkevich ,  Bo Pang ,  Daniel Kifer

Inventor： Kilian Quirin Weinberger ,  Anirban Dasgupta ,  Raghu Ramakrishnan ,  David Reiley ,  Martin Andre Monroe Zinkevich ,  Bo Pang ,  Daniel Kifer

IPC: G06F3/048

CPC classification number: H04L51/12

Abstract: Embodiments are directed towards employing a playful incentive to encourage users to provide feedback that is useable to train a classifier. The classifier being associated with any of a variety of different settings, including but not limited to classifying: messages as ham/spam, images, advertising, bookmarking, music, videos, photographs, shopping, or the like. An animated image, such as a pet, provides an interface to the classifier that encourages and responds to user feedback. Users may share their classifiers or aspects thereof with other users to enable a community of knowledge to be applied to a classification task, while preserving privacy of the user feedback. One form of sharing may be within the context of a competitive game. Various evaluations may be performed on a classifier to indicate user feedback consistency, or quality. Classifiers may also be used to provide users with advertisements, products, or services based on the user's feedback.

Abstract translation: 实施例旨在采用有趣的激励来鼓励用户提供可用于训练分类器的反馈。 分类器与各种不同的设置相关联，包括但不限于分类：消息作为火腿/垃圾邮件，图像，广告，书签，音乐，视频，照片，购物等。 动画图像（如宠物）为分类器提供了一个界面，鼓励和响应用户反馈。 用户可以与其他用户共享他们的分类器或其方面，以使知识社区能够应用于分类任务，同时保持用户反馈的隐私。 一种共享的形式可能在竞争性游戏的背景下。 可以在分类器上执行各种评估，以指示用户反馈一致性或质量。 分类器也可以用于根据用户的反馈向用户提供广告，产品或服务。

公开(公告)号：US09558506B2

公开(公告)日：2017-01-31

申请号：US12700530

申请日：2010-02-04

Applicant: Deepak K. Agarwal ,  Dz-Mou Jung ,  Sai-Ming Li ,  Mohammad Mahdian ,  R. Preston McAfee ,  Shanmugasundaram Ravikumar ,  David Reiley

Inventor： Deepak K. Agarwal ,  Dz-Mou Jung ,  Sai-Ming Li ,  Mohammad Mahdian ,  R. Preston McAfee ,  Shanmugasundaram Ravikumar ,  David Reiley

IPC: G06Q30/00 ,  G06Q30/02

CPC classification number: G06Q30/0246 ,  G06Q30/0275

Abstract: According to some example embodiments, a method includes calculating learning values associated with a plurality of listings, at least one of said learning values associated with one of said listings representing a value based, at least in part, on a probability distribution of selections of said listing. The method further includes applying said learning values to ranking scores associated with said listings to provide an updated ranking, and electronically auctioning advertising inventory to purchasers associated with said listings based, at least in part, on said updated ranking.

Abstract translation: 根据一些示例性实施例，一种方法包括计算与多个列表相关联的学习值，所述学习值中的至少一个与所述列表中的一个相关联，表示至少部分地基于所述列表的选择的概率分布 清单。 该方法还包括将所述学习值应用于与所述列表相关联的排名分数以提供更新的排名，以及至少部分地基于所述更新的排名，向与所述列表相关联的购买者电子拍卖广告库存。

公开(公告)号：US20110231246A1

公开(公告)日：2011-09-22

申请号：US12726683

申请日：2010-03-18

Applicant: Tarun Bhatia ,  David Reiley ,  Randall Lewis ,  Eric Theodore Bax ,  Darshan V. Kantak

Inventor： Tarun Bhatia ,  David Reiley ,  Randall Lewis ,  Eric Theodore Bax ,  Darshan V. Kantak

IPC: G06Q30/00

CPC classification number: G06Q30/00 ,  G06Q30/0244

Abstract: Techniques are provided relating to advertising campaign optimization. Information is obtained relating to online and offline behavior of a set of individuals in association with a brand associated an advertising campaign. Based at least in part on the information, one or more metrics are determined reflecting an association between online advertising and offline behavior relating to the brand, or vice versa. Optimization is performed for at least one parameter of an online advertising campaign or an offline advertising campaign based at least in part on at least one of the one or more metrics. The campaign could also be a combined offline/online campaign.

Abstract translation: 提供了与广告活动优化有关的技术。 获得与一个与广告活动有关的品牌相关联的一组个人的在线和离线行为的信息。 至少部分地基于信息，确定一个或多个指标，反映在线广告和与品牌相关的离线行为之间的关联，反之亦然。 至少部分地基于所述一个或多个度量中的至少一个，对在线广告活动或离线广告活动的至少一个参数进行优化。 广告系列也可以是离线/在线联合活动。

公开(公告)号：US20110231245A1

公开(公告)日：2011-09-22

申请号：US12726610

申请日：2010-03-18

Applicant: Tarun Bhatia ,  David Reiley ,  Randall Lewis ,  Eric Theodore Bax ,  Darshan V. Kantak ,  Ayman Farahat

Inventor： Tarun Bhatia ,  David Reiley ,  Randall Lewis ,  Eric Theodore Bax ,  Darshan V. Kantak ,  Ayman Farahat

IPC: G06Q30/00

CPC classification number: G06Q30/02 ,  G06Q30/0244

Abstract: Techniques are provided relating to optimization of an online advertising campaign. Information is obtained relating to online advertising, associated with a brand associated with an online advertising campaign, directed to each of a set of individuals. Information is also obtained relating to offline behavior of the individuals in association with the brand. One or more metrics are determined that are associated with a relationship between the online advertising and the offline behavior. Optimization of at least one parameter of the online advertising campaign is performed based at least in part on at least one of the one or more metrics.

Abstract translation: 提供了关于在线广告活动的优化的技术。 获取与针对与一组个人相关联的与在线广告活动相关联的品牌的在线广告的信息。 还有关于与品牌相关的个人的离线行为的信息。 确定与在线广告和离线行为之间的关系相关联的一个或多个指标。 至少部分地基于一个或多个度量中的至少一个来执行在线广告活动的至少一个参数的优化。

公开(公告)号：US09965129B2

公开(公告)日：2018-05-08

申请号：US13486874

申请日：2012-06-01

Applicant: David Reiley ,  Justin M. Rao ,  Michael Schwarz ,  Andrzei Skrzypacz

Inventor： David Reiley ,  Justin M. Rao ,  Michael Schwarz ,  Andrzei Skrzypacz

IPC: G06F3/048 ,  G06F17/30 ,  G06F3/0481 ,  G06F3/0482 ,  G06F9/44

CPC classification number: G06F3/048 ,  G06F3/0481 ,  G06F3/0482 ,  G06F9/451 ,  G06F9/453 ,  G06F17/30699 ,  G06F17/30867

Abstract: Personalized content is generated from different media items using a content index. The content index is generated or updated by identifying segments of media items that are of particular interest to users. User interactions with the media items are analyzed and metadata of segments of media items that are determined to be of particular interest to the users is recorded. The parameters associated with a request for personalized content for a user are matched with the recorded metadata to identify relevant media items or segments of media items which are transmitted to the user as the personalized content.

公开(公告)号：US20110191191A1

公开(公告)日：2011-08-04

申请号：US12697773

申请日：2010-02-01

Applicant: Eric Theodore Bax ,  David Reiley ,  Randall Lewis ,  Tarun Bhatia ,  Darshan V. Kantak

Inventor： Eric Theodore Bax ,  David Reiley ,  Randall Lewis ,  Tarun Bhatia ,  Darshan V. Kantak

IPC: G06Q30/00

CPC classification number: G06Q30/08 ,  G06Q30/02 ,  G06Q30/0275

Abstract: Some embodiments of the invention provide techniques for placing “placeholder” bids in an auction associated with online advertising marketplace. Placeholder bids can include bids that are not actually entered or placed in the auction or marketplace. Rather, placeholder bids can include hypothetical bids. Impacts of placeholder bids, should the placeholder bids have been entered or placed as actual bids, can be assessed. An assessment can include assessing an impact on auction and marketplace parameters, an impact on bid or campaign performance, and an impact on downstream parameters such as user behavior, such as associated conversions or purchasing.

Abstract translation: 本发明的一些实施例提供了将“占位符”出价放置在与在线广告市场相关联的拍卖中的技术。 占位符出价可以包括实际输入或放置在拍卖或市场中的出价。 相反，占位符出价可以包括假设出价。 如果占位符投标已经输入或放置为实际出价，则可以评估占位符投标的影响。 评估可以包括评估对拍卖和市场参数的影响，对出价或广告系列效果的影响，以及对用户行为（如相关转化或购买）等下游参数的影响。

公开(公告)号：US20110191167A1

公开(公告)日：2011-08-04

申请号：US12700530

申请日：2010-02-04

Applicant: Deepak K. Agarwal ,  Dz-Mou Jung ,  Sai-Ming Li ,  Mohammad Mahdian ,  R. Preston McAfee ,  Shanmugasundaram Ravikumar ,  David Reiley

Inventor： Deepak K. Agarwal ,  Dz-Mou Jung ,  Sai-Ming Li ,  Mohammad Mahdian ,  R. Preston McAfee ,  Shanmugasundaram Ravikumar ,  David Reiley

IPC: G06Q30/00 ,  G06Q10/00

CPC classification number: G06Q30/0246 ,  G06Q30/0275

Abstract: According to some example embodiments, a method includes calculating learning values associated with a plurality of listings, at least one of said learning values associated with one of said listings representing a value based, at least in part, on a probability distribution of selections of said listing. The method further includes applying said learning values to ranking scores associated with said listings to provide an updated ranking, and electronically auctioning advertising inventory to purchasers associated with said listings based, at least in part, on said updated ranking.

Abstract translation: 根据一些示例性实施例，一种方法包括计算与多个列表相关联的学习值，所述学习值中的至少一个与所述列表中的一个相关联，表示至少部分地基于所述列表的选择的概率分布 清单。 该方法还包括将所述学习值应用于与所述列表相关联的排名分数以提供更新的排名，以及至少部分地基于所述更新的排名，向与所述列表相关联的购买者电子拍卖广告库存。

公开(公告)号：US20130326406A1

公开(公告)日：2013-12-05

申请号：US13486874

申请日：2012-06-01

Applicant: David Reiley ,  Justin M. Rao ,  Michael Schwarz ,  Andrzei Skrzypacz

Inventor： David Reiley ,  Justin M. Rao ,  Michael Schwarz ,  Andrzei Skrzypacz

IPC: G06F17/30 ,  G06F3/048

CPC classification number: G06F3/048 ,  G06F3/0481 ,  G06F3/0482 ,  G06F9/451 ,  G06F9/453 ,  G06F17/30699 ,  G06F17/30867

Abstract: Personalized content is generated from different media items using a content index. The content index is generated or updated by identifying segments of media items that are of particular interest to users. User interactions with the media items are analyzed and metadata of segments of media items that are determined to be of particular interest to the users is recorded. The parameters associated with a request for personalized content for a user are matched with the recorded metadata to identify relevant media items or segments of media items which are transmitted to the user as the personalized content.

Abstract translation: 使用内容索引从不同媒体项目生成个性化内容。 通过识别用户特别感兴趣的媒体项目的段来生成或更新内容索引。 分析与媒体项目的用户交互，并记录被确定为用户特别感兴趣的媒体项目的段的元数据。 与用户的个性化内容的请求相关联的参数与所记录的元数据相匹配，以标识作为个性化内容发送给用户的媒体项或媒体项的片段。

公开(公告)号：US09792285B2

公开(公告)日：2017-10-17

申请号：US13486841

申请日：2012-06-01

Applicant: David Reiley ,  Michael Schwarz ,  Justin M. Rao ,  Andrzej Skrzypacz

Inventor： David Reiley ,  Michael Schwarz ,  Justin M. Rao ,  Andrzej Skrzypacz

IPC: G06F17/30

CPC classification number: G06F17/3002 ,  G06F17/30035

Abstract: Personalized content is generated from different media items using a content index. The content index is generated or updated by identifying segments of media items that are of particular interest to users. User interactions with the media items are analyzed and metadata of segments of media items that are determined to be of particular interest to the users is recorded. The parameters associated with a request for personalized content for a user are matched with the recorded metadata to identify relevant media items or segments of media items which are transmitted to the user as the personalized content.

公开(公告)号：US20130325869A1

公开(公告)日：2013-12-05

申请号：US13486841

申请日：2012-06-01

Applicant: David Reiley ,  Michael Schwarz ,  Justin M. Rao ,  Andrzej Skrzypacz

Inventor： David Reiley ,  Michael Schwarz ,  Justin M. Rao ,  Andrzej Skrzypacz

IPC: G06F17/30

CPC classification number: G06F17/3002 ,  G06F17/30035

Abstract: Personalized content is generated from different media items using a content index. The content index is generated or updated by identifying segments of media items that are of particular interest to users. User interactions with the media items are analyzed and metadata of segments of media items that are determined to be of particular interest to the users is recorded. The parameters associated with a request for personalized content for a user are matched with the recorded metadata to identify relevant media items or segments of media items which are transmitted to the user as the personalized content.

Abstract translation: 使用内容索引从不同媒体项目生成个性化内容。 通过识别用户特别感兴趣的媒体项目的段来生成或更新内容索引。 分析与媒体项目的用户交互，并记录被确定为用户特别感兴趣的媒体项目的段的元数据。 与用户的个性化内容的请求相关联的参数与所记录的元数据相匹配，以标识作为个性化内容发送给用户的媒体项或媒体项的片段。