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1. 发明申请

US20120166291A1 BID GENERATION FOR SPONSORED SEARCH 审中-公开
标题翻译：赞助搜索的生成
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。

2. 发明申请

US20110258054A1 Automatic Generation of Bid Phrases for Online Advertising 审中-公开
标题翻译：自动生成在线广告投标短语
公开(公告)号：US20110258054A1
公开(公告)日：2011-10-20
申请号：US12693371
申请日：2010-04-19
申请人： Sandeep Pandey , Vanja Josifovski , Bo Pang , Andrei Zary Broder , Evgeniy Gabrilovich , Sujith Ravi
发明人： Sandeep Pandey , Vanja Josifovski , Bo Pang , Andrei Zary Broder , Evgeniy Gabrilovich , Sujith Ravi
IPC分类号： G06Q30/00 , G06F17/28
CPC分类号： G06Q30/02 , G06F17/2795 , G06F17/2818 , G06Q30/0276
摘要： Automatic generation of bid phrases for online advertising comprising storing a computer code representation of a landing page for use with a language model and a translation model (with a parallel corpus) to produce a set of candidate bid phrases that probabilistically correspond to the landing page, and/or to web search phrases. Operations include extracting a set of raw candidate bid phrases from a landing page, generating a set of translated candidate bid phrases using a parallel corpus in conjunction with the raw candidate bid phrases. In order to score and/or reduce the number of candidate bid phrases, a translation table is used to capture the probability that a bid phrase from the raw bid phrases is generated from a bid phrase from the set of translated candidate bid phrases. Scoring and ranking operations reduce the translated candidate bid phrases to just those most relevant to the landing page inputs.
摘要翻译：自动生成用于在线广告的投标短语，包括存储与语言模型和翻译模型（具有并行语料库）一起使用的着陆页的计算机代码表示，以产生概率地对应于着陆页的一组候选投标短语，和/或网页搜索短语。操作包括从着陆页提取一组原始候选投标短语，使用与原始候选投标短语结合的平行语料库生成一组翻译的候选投标短语。为了得分和/或减少候选投标短语的数量，使用翻译表来捕获来自原始投标短语的出价短语从翻译的候选投标短语组中的出价短语产生的概率。评分和排名操作将翻译的候选投标词组缩短到与着陆页输入最相关的候选词组。

3. 发明授权

US08676827B2 Rare query expansion by web feature matching 有权
标题翻译：通过网络功能匹配进行稀有查询扩展
公开(公告)号：US08676827B2
公开(公告)日：2014-03-18
申请号：US12365551
申请日：2009-02-04
申请人： Donald Metzler , Lance Riedel , Evgeniy Gabrilovich , Vanja Josifovski
发明人： Donald Metzler , Lance Riedel , Evgeniy Gabrilovich , Vanja Josifovski
IPC分类号： G06F17/30 , G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0256
摘要： A method is disclosed for expansion of rare queries to improve advertisement results, including receiving a query from a user by a search engine; determining that the query does not match an entry in an ad query lookup table coupled with the search engine; retrieving one or more expanded queries located within a query feature index whose features relate to one or more features of the received query, wherein the query feature index includes a plurality of queries expanded based on at least corresponding search results; generating, in real time and by the search engine, an ad query including an expanded version of the received query based on features of the retrieved expanded queries; and selecting one or more advertisements based on the generated ad query, wherein the one or more advertisements are displayed to the user in response to the query received from the user.
摘要翻译：公开了一种用于扩展罕见查询以改善广告结果的方法，包括由搜索引擎从用户接收查询; 确定所述查询与所述搜索引擎耦合的广告查询查找表中的条目不匹配; 检索位于查询特征索引内的一个或多个扩展查询，其特征涉及所接收的查询的一个或多个特征，其中所述查询特征索引包括基于至少相应搜索结果而扩展的多个查询; 基于检索到的扩展查询的特征，实时地和由搜索引擎生成包括所接收查询的扩展版本的广告查询; 以及基于所生成的广告查询来选择一个或多个广告，其中所述一个或多个广告响应于从所述用户接收到的查询显示给所述用户。

4. 发明申请

US20110264640A1 Using External Sources for Sponsored Search AD Selection 有权
标题翻译：使用外部来源进行赞助搜索AD选择
公开(公告)号：US20110264640A1
公开(公告)日：2011-10-27
申请号：US12764469
申请日：2010-04-21
申请人： Marcus Fontoura , Vanja Josifovski , Evgeniy Gabrilovich , Bo Pang , Yejin Choi , Mauricio Riguette Mediano
发明人： Marcus Fontoura , Vanja Josifovski , Evgeniy Gabrilovich , Bo Pang , Yejin Choi , Mauricio Riguette Mediano
IPC分类号： G06F17/30
CPC分类号： G06Q30/0241 , G06F17/30312 , G06Q30/0277
摘要： A system and a system are provided for using external sources (e.g., landing pages) for sponsored search ad selection. In one example, the system identifies one or more regions of an external source. The one or more regions are relevant to a query. The external source includes a source that includes relevant data that is usable for augmenting an ad selection process. The system extracts one or more features from the one or more regions. The system determines which of the one or more features are relevant for item indexing. The system then augments an item selection process by using the one or more features that are relevant for item indexing.
摘要翻译：提供了一种系统和系统，用于使用外部来源（例如登陆页面）来进行赞助搜索广告选择。在一个示例中，系统识别外部源的一个或多个区域。一个或多个区域与查询相关。外部来源包括一个源，其中包含可用于扩展广告选择过程的相关数据。系统从一个或多个区域提取一个或多个特征。系统确定一个或多个特征中的哪一个与项目索引相关。然后，系统通过使用与项目索引相关的一个或多个特征来增加项目选择过程。

5. 发明申请

US20100198857A1 RARE QUERY EXPANSION BY WEB FEATURE MATCHING 有权
标题翻译：通过WEB功能匹配进行的查询扩展
公开(公告)号：US20100198857A1
公开(公告)日：2010-08-05
申请号：US12365551
申请日：2009-02-04
申请人： Donald Metzler , Lance Riedel , Evgeniy Gabrilovich , Vanja Josifovski
发明人： Donald Metzler , Lance Riedel , Evgeniy Gabrilovich , Vanja Josifovski
IPC分类号： G06F17/30 , G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0256
摘要： A method is disclosed for expansion of rare queries to improve advertisement results, including receiving a query from a user by a search engine; determining that the query does not match an entry in an ad query lookup table coupled with the search engine; retrieving one or more expanded queries located within a query feature index whose features relate to one or more features of the received query, wherein the query feature index includes a plurality of queries expanded based on at least corresponding search results; generating, in real time and by the search engine, an ad query including an expanded version of the received query based on features of the retrieved expanded queries; and selecting one or more advertisements based on the generated ad query, wherein the one or more advertisements are displayed to the user in response to the query received from the user.
摘要翻译：公开了一种用于扩展罕见查询以改善广告结果的方法，包括由搜索引擎从用户接收查询; 确定所述查询与所述搜索引擎耦合的广告查询查找表中的条目不匹配; 检索位于查询特征索引内的一个或多个扩展查询，其特征涉及所接收的查询的一个或多个特征，其中所述查询特征索引包括基于至少相应搜索结果而扩展的多个查询; 基于检索到的扩展查询的特征，实时地和由搜索引擎生成包括所接收查询的扩展版本的广告查询; 以及基于所生成的广告查询来选择一个或多个广告，其中所述一个或多个广告响应于从所述用户接收到的查询显示给所述用户。

6. 发明申请

US20090282015A1 Systems and Methods for Predicting a Degree of Relevance Between Digital Ads and Webpage Content 审中-公开
标题翻译：用于预测数字广告与网页内容之间相关程度的系统和方法
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。

7. 发明申请

US20130204869A1 READING COMPREHENSIBILITY FOR CONTENT SELECTION 审中-公开
标题翻译：阅读内容选择的可靠性
公开(公告)号：US20130204869A1
公开(公告)日：2013-08-08
申请号：US13367323
申请日：2012-02-06
申请人： Evgeniy Gabrilovich , Bo Pang , Chenhao Tan
发明人： Evgeniy Gabrilovich , Bo Pang , Chenhao Tan
IPC分类号： G06F17/30
CPC分类号： G06F16/35
摘要： Briefly, embodiments of methods or systems to measure or employ reading comprehensibility are described.
摘要翻译：简言之，描述了测量或使用阅读可理解性的方法或系统的实施例。

8. 发明申请

US20090282016A1 Systems and Methods for Building a Prediction Model to Predict a Degree of Relevance Between Digital Ads and a Search Query or Webpage Content 审中-公开
标题翻译：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
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。

9. 发明申请

US20090282014A1 Systems and Methods for Predicting a Degree of Relevance Between Digital Ads and a Search Query 审中-公开
标题翻译：用于预测数字广告与搜索查询之间相关程度的系统和方法
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。

10. 发明申请

US20090164400A1 Social Behavior Analysis and Inferring Social Networks for a Recommendation System 有权
标题翻译：社会行为分析和推荐系统的社会网络
公开(公告)号：US20090164400A1
公开(公告)日：2009-06-25
申请号：US11961555
申请日：2007-12-20
申请人： Sihem Amer-Yahia , Evgeniy Gabrilovich , Bo Pang , Julia Stoyanovich , Cong Yu
发明人： Sihem Amer-Yahia , Evgeniy Gabrilovich , Bo Pang , Julia Stoyanovich , Cong Yu
IPC分类号： G06F17/00
CPC分类号： G06Q10/00
摘要： Systems and methods are provided for determining items or people of potential interest to recommend to users in a computer-based network. Implied social networks may be determined based at least in part on obtained social behavior information. Items or people of potential interest to users may be determined based at least in part on implied social network information. Vocabulary taxonomies may be associated with, or used in determining, implied social networks.
摘要翻译：提供了系统和方法，用于确定潜在兴趣的项目或人员推荐给基于计算机的网络中的用户。至少部分地基于获得的社会行为信息来确定隐含的社交网络。可以至少部分地基于隐含的社交网络信息来确定用户潜在兴趣的项目或人。词汇分类可能与隐含的社交网络相关联或用于确定隐含的社交网络。

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