公开(公告)号：US20120166291A1

公开(公告)日：2012-06-28

申请号：US12977313

申请日：2010-12-23

申请人： Andrei Broder ,  Evgeniy Gabrilovich ,  Vanja Josifovski ,  George Mavromatis ,  Benjamin Rey

发明人： Andrei Broder ,  Evgeniy Gabrilovich ,  Vanja Josifovski ,  George Mavromatis ,  Benjamin Rey

IPC分类号： G06Q30/00

CPC分类号： G06Q30/0256 ,  G06Q30/0273 ,  G06Q30/0275

摘要： A system and method of generating bid values for sponsored search includes steps or acts of: receiving a bid phrase for an advertisement for an item, wherein the bid phrase specifies a search query for which the advertisement should be displayed; receiving first information at a first input/output interface, the first information related to a bidding behavior of the advertiser; receiving second information at a second input/output interface, the second information relating to a history of bids by other advertisers for the bid phrase; and generating a bid value for the bid phrase submitted for the advertisement for the search query, based on the information received.

摘要翻译： 生成赞助搜索的投标价值的系统和方法包括以下步骤或动作：接收用于项目的广告的投标短语，其中所述投标短语指定应显示该广告的搜索查询; 在第一输入/输出界面处接收第一信息，所述第一信息与所述广告主的投标行为相关; 在第二输入/输出界面处接收第二信息，所述第二信息涉及其他广告商针对所述投标短语的出价历史; 以及基于所接收的信息，为针对搜索查询的广告提交的投标短语生成出价值。

公开(公告)号：US20100205213A1

公开(公告)日：2010-08-12

申请号：US12370306

申请日：2009-02-12

申请人： Andrei Broder ,  Vanja Josifovski ,  Shanmugasundaram Ravikumar ,  Sandeep Pandey ,  Serguei Vassilvitskii ,  Flavio Chierichetti

发明人： Andrei Broder ,  Vanja Josifovski ,  Shanmugasundaram Ravikumar ,  Sandeep Pandey ,  Serguei Vassilvitskii ,  Flavio Chierichetti

IPC分类号： G06F17/30 ,  G06F12/08

CPC分类号： G06Q30/0251 ,  G06F16/24539 ,  G06Q10/06

摘要： The subject matter disclosed herein relates to returning cached object results based at least in part on a non-exact comparison with a query key.

摘要翻译： 本文公开的主题涉及至少部分地基于与查询密钥的非精确比较来返回缓存的对象结果。

公开(公告)号：US20090282015A1

公开(公告)日：2009-11-12

申请号：US12116737

申请日：2008-05-07

申请人： Evgeniy Gabrilovich ,  Vassillis Plachouras ,  Andrei Broder ,  Vanessa Murdock ,  Donald Metzler ,  Vanja Josifovski ,  Massimiliano Ciaramita ,  Marcus Fontoura

发明人： Evgeniy Gabrilovich ,  Vassillis Plachouras ,  Andrei Broder ,  Vanessa Murdock ,  Donald Metzler ,  Vanja Josifovski ,  Massimiliano Ciaramita ,  Marcus Fontoura

IPC分类号： G06F17/30

CPC分类号： G06Q30/02

摘要： Systems and methods for predicting a degree of relevance between a set of candidate digital ads and webpage content are disclosed. Generally, an ad provider receives a digital ad request associated with webpage content. The ad provider identifies a set of candidate digital ads that may be served in response to the digital ad request. A relevance module extracts a set of features from the set of candidate digital ads and the webpage content, and determines a degree of relevance between the set of candidate digital ads and the webpage content based on a prediction model and the extracted set of features. If the relevance module determines the set of candidate digital ads is relevant to the webpage content, the ad provider may serve one or more digital ads from the set of candidate digital ads in response to the received digital ad request.

摘要翻译： 公开了用于预测一组候选数字广告和网页内容之间的相关程度的系统和方法。 通常，广告提供商接收与网页内容相关联的数字广告请求。 广告提供商确定可以针对数字广告请求提供的一组候选数字广告。 相关性模块从一组候选数字广告和网页内容中提取一组特征，并且基于预测模型和所提取的特征集合确定候选数字广告集合和网页内容之间的相关程度。 如果相关性模块确定候选数字广告的集合与网页内容相关，则广告提供者可以响应于所接收的数字广告请求，从一组候选数字广告服务一个或多个数字广告。

公开(公告)号：US20110208559A1

公开(公告)日：2011-08-25

申请号：US12711873

申请日：2010-02-24

申请人： Marcus Fontoura ,  Sergei Vassilvitskii ,  Jayavel Shanmugasundaram ,  Andrei Broder ,  Shirshanka Das ,  Bhaskar Ghosh ,  Vanja Josifovski

发明人： Marcus Fontoura ,  Sergei Vassilvitskii ,  Jayavel Shanmugasundaram ,  Andrei Broder ,  Shirshanka Das ,  Bhaskar Ghosh ,  Vanja Josifovski

IPC分类号： G06Q10/00 ,  G06Q50/00 ,  G06T11/20

CPC分类号： G06Q30/02 ,  G06Q10/06316 ,  G06Q30/0201 ,  G06T11/206

摘要： Automatic management of networked publisher-subscriber relationships in an advertising server network. The method comprises steps for constructing a directed graph representation comprising at least one publisher node (e.g. an Internet property), at least one subscriber node (e.g. an Internet advertiser), at least one intermediary node (e.g. an Internet advertising agent), and at least one edge (e.g. an advertising target predicate) wherein any one of the edges is directly associated with at least one target predicate. The directed graph representation is used in conjunction with an inverted index for retrieving a valid node list comprising only nodes having at least one target predicate that matches at least one event predicate. The event predicate (as well as any target predicate) is any arbitrarily complex Boolean expression, and is used in producing a result node list comprising only nodes that concurrently match the event predicate with an advertising target predicate and are reachable.

摘要翻译： 在广告服务器网络中自动管理网络发布者 - 订户关系。 该方法包括用于构建包括至少一个发布者节点（例如，因特网属性），至少一个订户节点（例如，因特网广告商），至少一个中间节点（例如，因特网广告代理）以及在 至少一个边缘（例如，广告目标谓词），其中边缘中的任何一个与至少一个目标谓词直接相关联。 有向图表示与用于检索仅包括至少一个与至少一个事件谓词匹配的目标谓词的节点的有效节点列表结合使用。 事件谓词（以及任何目标谓词）是任意复杂的布尔表达式，并且用于生成结果节点列表，其中仅包含与广告目标谓词并发匹配事件谓词并且可访问的节点。

公开(公告)号：US20090282016A1

公开(公告)日：2009-11-12

申请号：US12116747

申请日：2008-05-07

申请人： Evgeniy Gabrilovich ,  Vassilis Plachouras ,  Andrei Broder ,  Vanessa Murdock ,  Donald Metzler ,  Vanja Josifovski ,  Massimiliano Ciaramita ,  Marcus Fontoura

发明人： Evgeniy Gabrilovich ,  Vassilis Plachouras ,  Andrei Broder ,  Vanessa Murdock ,  Donald Metzler ,  Vanja Josifovski ,  Massimiliano Ciaramita ,  Marcus Fontoura

IPC分类号： G06F17/30

CPC分类号： G06Q30/02 ,  G06F16/951 ,  G06Q10/04

摘要： Systems and methods for building a prediction model to predict a degree of relevance between digital ads and a search query or webpage content are disclosed. Generally, an indication of relevance is received between a plurality of digital ads and one of a webpage content or a search query. A set of features is extracted from the plurality of digital ads and one of the webpage content or the search query. A prediction model is then built to predict a degree of relevance between the set of candidate digital ads and one of a second webpage content or a second search query, where the prediction model is built based at least one the received indication of relevance and the extracted set of features.

摘要翻译： 公开了用于构建预测模型以预测数字广告与搜索查询或网页内容之间的相关程度的系统和方法。 通常，在多个数字广告和网页内容之一或搜索查询之间接收到相关性的指示。 从多个数字广告和网页内容或搜索查询之一提取一组特征。 然后构建预测模型以预测候选数字广告集合与第二网页内容或第二搜索查询之一之间的相关程度，其中基于所接收到的相关性指示中的至少一个构建预测模型，并且提取 一套功能。

公开(公告)号：US20090282014A1

公开(公告)日：2009-11-12

申请号：US12116710

申请日：2008-05-07

申请人： Evgeniy Gabrilovich ,  Vassilis Plachouras ,  Andrei Broder ,  Vanessa Murdock ,  Donald Metzler ,  Vanja Josifovski ,  Massimiliano Ciaramita ,  Marcus Fontoura

发明人： Evgeniy Gabrilovich ,  Vassilis Plachouras ,  Andrei Broder ,  Vanessa Murdock ,  Donald Metzler ,  Vanja Josifovski ,  Massimiliano Ciaramita ,  Marcus Fontoura

IPC分类号： G06F17/30

CPC分类号： G06Q30/02 ,  G06F16/334 ,  G06F16/951

摘要： Systems and methods for predicting a degree of relevance between a set of candidate digital ads and a search query are disclosed. Generally, an ad provider receives a digital ad request associated with a search query. The ad provider identifies a set of candidate digital ads that may be served in response to the digital ad request. A relevance module extracts a set of features from the set of candidate digital ads and the search query associated with the digital ad request, and determines a degree of relevance between the set of candidate digital ads and the search query based on a prediction model and the extracted set of features. If the relevance module determines the set of candidate digital ads is relevant to the search query, the ad provider may serve one or more digital ads from the set of candidate digital ads in response to the received digital ad request.

摘要翻译： 公开了用于预测一组候选数字广告与搜索查询之间的相关程度的系统和方法。 通常，广告提供商接收与搜索查询相关联的数字广告请求。 广告提供商确定可以针对数字广告请求提供的一组候选数字广告。 相关性模块从所述候选数字广告集合和与数字广告请求相关联的搜索查询提取一组特征，并且基于预测模型确定候选数字广告集合和搜索查询之间的相关程度，并且 提取一组功能。 如果相关性模块确定候选数字广告的集合与搜索查询相关，则广告提供者可以响应于接收到的数字广告请求，从一组候选数字广告服务一个或多个数字广告。

公开(公告)号：US20090132334A1

公开(公告)日：2009-05-21

申请号：US11942153

申请日：2007-11-19

申请人： Xuerui Wang ,  Marcus Fontoura ,  Vanja Josifovski ,  Andrei Broder

发明人： Xuerui Wang ,  Marcus Fontoura ,  Vanja Josifovski ,  Andrei Broder

IPC分类号： G06Q30/00 ,  G06Q10/00

CPC分类号： G06Q30/02 ,  G06Q30/0201 ,  G06Q30/0202

摘要： Systems and methods for estimating an amount of traffic associated with a digital ad are disclosed. Generally, a forecasting module identifies a set of candidate webpages on which a digital ad may be displayed and estimates a click through rate associated with the digital ad and a webpage of the set of candidate webpages. The forecasting module determines a ranking score associated with the digital ad based on the determined click through rate and a bid price associated with the digital ad. The forecasting module then examines historical data, such as search logs, to determine an estimate of traffic associated with the digital ad with respect to the webpage in response to determining the ranking score of the digital ad exceeds a ranking score associated with another digital ad that was previously displayed on the webpage.

摘要翻译： 公开了用于估计与数字广告相关联的流量的系统和方法。 通常，预测模块识别可以在其上显示数字广告的一组候选网页，并且估计与数字广告相关联的点击率和该组候选网页的网页。 预测模块基于所确定的点击率和与数字广告相关联的出价来确定与数字广告相关联的排名得分。 预测模块然后检查诸如搜索日志的历史数据，以响应于确定数字广告的排名得分超过与另一数字广告相关联的排名得分来确定相对于网页与数字广告相关联的流量的估计， 以前显示在网页上。

公开(公告)号：US20130290710A1

公开(公告)日：2013-10-31

申请号：US13457744

申请日：2012-04-27

申请人： Andrei Broder ,  Vanja Josifovski

发明人： Andrei Broder ,  Vanja Josifovski

IPC分类号： G06F15/173 ,  H04L9/28

CPC分类号： H04L63/102 ,  G06Q30/04 ,  H04L63/083 ,  H04L67/02

摘要： Disclosed is a system and method for securely, conveniently and effectively storing information in a secure data repository or database, and securely delivering such information to a respective user. The secure repository and database, referred to as a Vault, is a secure storage utility used for storing and safekeeping valuable personal information and documents associated with a user. The Vault can store and provide access to personal documents for a user, such as but not limited to, wills, irreplaceable pictures or video, financial documents/bills, contracts, account numbers and credit card numbers. The Vault can be provided as a service within a smart, cloud-based system, which intelligently gathers, stores and initiates actions for a variety of user documents.

摘要翻译： 公开了一种用于安全，方便和有效地将信息存储在安全数据存储库或数据库中并将这些信息安全地传递给相应用户的系统和方法。 称为保险库的安全存储库和数据库是用于存储和保存与用户相关联的有价值的个人信息和文档的安全存储实用程序。 保险箱可以存储和提供用户访问个人文档，例如但不限于遗嘱，不可替代的图片或视频，财务文件/帐单，合同，帐号和信用卡号码。 保险柜可以作为智能云基系统中的服务提供，智能地收集，存储和启动各种用户文档的操作。

公开(公告)号：US20120047014A1

公开(公告)日：2012-02-23

申请号：US12861241

申请日：2010-08-23

申请人： Yoelle Maarek Smadja ,  Andrei Broder ,  Vanja Josifovski ,  Melissa B. Stein

发明人： Yoelle Maarek Smadja ,  Andrei Broder ,  Vanja Josifovski ,  Melissa B. Stein

IPC分类号： G06Q30/00 ,  G06F17/30

CPC分类号： G06Q30/02 ,  G06Q30/0255

摘要： Techniques for performing user classification based on email are provided. Emails stored in an email store may be analyzed to classify users. Information included in the stored emails may be extracted, and users may be classified into categories according to the extracted information. The extracted information may be analyzed in a manner so as to protect the personal information of the users according to any applicable privacy standards. Any number of types of emails may be analyzed to classify users in any number of ways. For instance, a plurality of commercial emails stored in the email store may be determined The commercial emails may be counted as conversions for an advertising campaign. The commercial emails may be parsed to extract commercial information. The commercial information may be parsed to generate user classification data. The user classification data may be used in various ways, including for targeting users with advertisements.

摘要翻译： 提供了基于电子邮件执行用户分类的技术。 可以分析存储在电子邮件商店中的电子邮件以对用户进行分类。 可以提取存储的电子邮件中包括的信息，并且可以根据提取的信息将用户分类为类别。 可以以提取的信息的方式来分析，以便根据任何适用的隐私标准来保护用户的个人信息。 可以分析任何数量的电子邮件类型，以便以任何方式对用户进行分类。 例如，可以确定存储在电子邮件商店中的多个商业电子邮件。商业电子邮件可以被计为用于广告活动的转换。 商业电子邮件可能被解析为提取商业信息。 可以解析商业信息以生成用户分类数据。 用户分类数据可以以各种方式使用，包括用于以广告为目标的用户。

公开(公告)号：US20100293184A1

公开(公告)日：2010-11-18

申请号：US12465077

申请日：2009-05-13

申请人： Vanja Josifovski ,  Andrei Broder ,  Patrick Pantel ,  Ana-Maria Popescu ,  Evgeniy Gabrilovich ,  William Swei Chang

发明人： Vanja Josifovski ,  Andrei Broder ,  Patrick Pantel ,  Ana-Maria Popescu ,  Evgeniy Gabrilovich ,  William Swei Chang

IPC分类号： G06F17/30

CPC分类号： G06Q30/08 ,  G06Q30/02

摘要： The present invention provides a method and system for determining related bid terms. The method and system includes accessing a term database to determine a plurality of term pairs, the term pairs being paired terms bidded together in a term bidding operating environment. In the method and system, for each of the plurality of term pairs, the method and system includes determining similarity values for each of the term pairs. The method and system further includes generating a similarity matrix using the determined similarity values. And, the method and system includes generating an output result based on a co-bidded relationship between at least one of the terms and advertising information.

摘要翻译： 本发明提供了一种用于确定相关投标术语的方法和系统。 方法和系统包括访问术语数据库以确定多个术语对，术语对是在术语投标操作环境中一起投标的配对术语。 在方法和系统中，对于多个术语对中的每一个，该方法和系统包括确定每个术语对的相似度值。 所述方法和系统还包括使用所确定的相似度值来生成相似性矩阵。 并且，所述方法和系统包括基于所述术语中的至少一个与广告信息之间的共同关系生成输出结果。