公开(公告)号：US20110093331A1

公开(公告)日：2011-04-21

申请号：US12581638

申请日：2009-10-19

申请人： Donald Metzler ,  Andrei Broder ,  Vanja Josifovski ,  Kishore Papineni ,  Alexander Smola ,  George Mavromatis ,  Evgeniy Gabrilovich

发明人： Donald Metzler ,  Andrei Broder ,  Vanja Josifovski ,  Kishore Papineni ,  Alexander Smola ,  George Mavromatis ,  Evgeniy Gabrilovich

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06F16/951 ,  G06Q30/0251

摘要： A contextual advertising system selects online advertisements for display on a network location. The system may transform page content of a page received in a platform over a network into a textual representation. In addition, the system may transform received site content of a site into a site signature. The site includes the page. The system then may correct the textual representation utilizing the site signature to produce modified textual representation. The system may utilize the modified textual representation to select an online advertisement. Considering a page in the context of the entire website to which it belongs leads to better understanding and interpretation of the page topic(s) and thus yields more accurate ad matching.

摘要翻译： 上下文广告系统选择在线广告以在网络位置上显示。 系统可以将通过网络在平台中接收的页面的页面内容转换为文本表示。 此外，系统可以将站点的接收站点内容转换为站点签名。 该网站包括该页面。 然后，系统可以使用站点签名来校正文本表示以产生经修改的文本表示。 该系统可以使用经修改的文本表示来选择在线广告。 考虑到其所属整个网站的上下文中的一个页面可以更好地理解和解释页面主题，从而产生更准确的广告匹配。

公开(公告)号：US20100217648A1

公开(公告)日：2010-08-26

申请号：US12390048

申请日：2009-02-20

申请人： Deepak K. Agarwal ,  Vanja Josifovski ,  Andrei Broder ,  Evgeniy Gabrilovich ,  Robert Hall

发明人： Deepak K. Agarwal ,  Vanja Josifovski ,  Andrei Broder ,  Evgeniy Gabrilovich ,  Robert Hall

IPC分类号： G06N5/02 ,  G06Q10/00 ,  G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q10/04 ,  G06Q30/0202

摘要： Methods and systems are provided that may be used to determine a probability of whether a visitor to a web document is likely to click on a web advertisement. An exemplary method may include detecting one or more features in a web document. One or more expert statistical models to which the web document belongs may be determined and associated weightings may be determined based, at least in part, on the one or more features detected. A click-through-rate probability for a web advertisement to be placed on the web document may be estimated based on the one or more expert statistical models.

摘要翻译： 提供了可用于确定web文档的访问者是否可能点击网络广告的概率的方法和系统。 示例性方法可以包括检测web文档中的一个或多个特征。 可以确定web文档所属的一个或多个专家统计模型，并且至少部分地基于检测到的一个或多个特征来确定相关联的加权。 可以基于一个或多个专家统计模型来估计要放置在网络文档上的网络广告的点击率概率。

公开(公告)号：US20100010959A1

公开(公告)日：2010-01-14

申请号：US12169782

申请日：2008-07-09

申请人： Andrei Z. Broder ,  Evgeniy Gabrilovich ,  Vanja Josifovski ,  Donald Metzler ,  Lance Riedel ,  Peter Ciccolo

发明人： Andrei Z. Broder ,  Evgeniy Gabrilovich ,  Vanja Josifovski ,  Donald Metzler ,  Lance Riedel ,  Peter Ciccolo

IPC分类号： G06F7/00

CPC分类号： G06F17/30672

摘要： The present invention is directed towards systems, methods and computer program products for providing query-based advertising content. According to one embodiment, a method for providing query-based advertising content comprises receiving a web query and generating an ad query associated with the web query, wherein the ad query is generated on the basis of one of a query to advertisement relationship, a query to feature vector relationship, or a rewritten query vector. An advertisement is selected on the basis of the generated ad query.

摘要翻译： 本发明涉及用于提供基于查询的广告内容的系统，方法和计算机程序产品。 根据一个实施例，一种用于提供基于查询的广告内容的方法包括：接收网络查询并生成与所述网络查询相关联的广告查询，其中所述广告查询基于对广告关系的查询，查询 特征向量关系或重写的查询向量。 根据生成的广告查询选择广告。

公开(公告)号：US20100010895A1

公开(公告)日：2010-01-14

申请号：US12169218

申请日：2008-07-08

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

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

IPC分类号： G06Q30/00 ,  G06F17/30 ,  G06F7/06

CPC分类号： G06Q30/0256 ,  G06Q30/02

摘要： A predictor for determining a degree of relevance between a query rewrite and a search query is provided. The predictor may receive a search query from a user via a terminal and identify a set of candidate query rewrites associated with the search query. The predictor may then extract a set of features from advertisements associated with the query rewrites and the search query and determine a degree of relevance between the advertisements and the search query based on a prediction model. The predictor may then determine the degree of relevance between the rewrites and the search query based on the determined degree of relevance between the advertisements and the search query.

摘要翻译： 提供了用于确定查询重写和搜索查询之间的相关程度的预测器。 预测器可以经由终端从用户接收搜索查询，并且识别与搜索查询相关联的一组候选查询重写。 然后，预测器可以从与查询重写和搜索查询相关联的广告提取一组特征，并且基于预测模型确定广告和搜索查询之间的相关程度。 然后，预测器可以基于所确定的广告与搜索查询之间的相关度来确定重写和搜索查询之间的相关程度。

公开(公告)号：US20080004864A1

公开(公告)日：2008-01-03

申请号：US11457341

申请日：2006-07-13

申请人： Evgeniy Gabrilovich ,  Shaul Markovitch

发明人： Evgeniy Gabrilovich ,  Shaul Markovitch

IPC分类号： G06F17/27

CPC分类号： G06F17/27 ,  G06F17/30616

摘要： A method of providing weighted concepts related to a sequence of one or more words, including: providing on a computer an encyclopedia with concepts and a document explaining each concept, forming a vector, which contains the frequency of the word for each concept, for each word in the encyclopedia, arranging the vector according to the frequency of appearance of the word for each concept, selecting the concepts with the highest frequencies for each word from the vector, truncating the rest of the vector, inducing a feature generator using the truncated vectors; wherein the feature generator is adapted to receive as input one or more words and provide a list of weighted concepts, which are most related to the one or more words provided as input.

摘要翻译： 提供与一个或多个单词的序列相关的加权概念的方法，包括：在计算机上向百科全书提供概念和解释每个概念的文档，形成包含每个概念的单词的频率的向量 百科全书中的单词，根据每个概念的词出现频率来排列向量，从向量中选择每个单词具有最高频率的概念，截断其余的向量，使用截断向量来诱导特征生成器 ; 其中所述特征生成器适于作为输入接收一个或多个单词并且提供与作为输入提供的一个或多个单词最相关的加权概念列表。

公开(公告)号：US07293019B2

公开(公告)日：2007-11-06

申请号：US10827729

申请日：2004-04-20

申请人： Susan T. Dumais ,  Eric J. Horvitz ,  Evgeniy Gabrilovich

发明人： Susan T. Dumais ,  Eric J. Horvitz ,  Evgeniy Gabrilovich

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F17/30867 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99942

摘要： A system and methodology is provided for filtering temporal streams of information such as news stories by statistical measures of information novelty. Various techniques can be applied to custom tailor news feeds or other types of information based on information that a user has already reviewed. Methods for analyzing information novelty are provided along with a system that personalizes and filters information for users by identifying the novelty of stories in the context of stories they have already reviewed. The system employs novelty-analysis algorithms that represent articles as a bag of words and named entities. The algorithms analyze inter- and intra-document dynamics by considering how information evolves over time from article to article, as well as within individual articles.

摘要翻译： 提供了一种系统和方法，用于通过信息新颖性的统计测量过滤信息的时间流，如新闻故事。 基于用户已经审查的信息，可以将各种技术应用于定制定制新闻馈送或其他类型的信息。 提供分析信息新颖性的方法以及通过在已经审查的故事的上下文中识别故事的新颖性来为用户个人化和过滤信息的系统。 该系统采用新颖性分析算法，将文章表示为一包单词和命名实体。 这些算法通过考虑随着时间的推移从文章到文章以及个人文章中的信息如何发展，分析了文档间和文档内部的动态。