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1. 发明授权

US08161065B2 Facilitating advertisement selection using advertisable units 有权
标题翻译：使用广告单位促进广告选择
公开(公告)号：US08161065B2
公开(公告)日：2012-04-17
申请号：US12620341
申请日：2009-11-17
申请人： Dou Shen , Yi Zhang , Heng Zhang , Sahil Thaker , Valeri Liborski , Ying Li
发明人： Dou Shen , Yi Zhang , Heng Zhang , Sahil Thaker , Valeri Liborski , Ying Li
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： Systems, methods, and computer storage media having computer-executable instructions embodied thereon that facilitate advertisement selection using advertising units. An entity that is a sequence of two or more words is referenced. The entity includes substrings comprising a portion of the entity. Search data in association with the entity is compared to corresponding search data in association with the substrings of the entity. Based on the comparison, it is determined that the entity comprises an advertisable unit that functions as a unit for purposes of selecting an advertisement for display. The advertisable unit is used to select an advertisement to be presented to the user.
摘要翻译：具有容纳有使用广告单元的广告选择的计算机可执行指令的系统，方法和计算机存储介质。引用两个或多个单词序列的实体。实体包括包含实体的一部分的子串。与实体相关联的搜索数据与与实体的子串相关联的相应搜索数据进行比较。基于该比较，确定实体包括作为用于选择要显示的广告的单元的单元的广告单元。可广告单元用于选择要呈现给用户的广告。

2. 发明授权

US08112409B2 Predicting future queries from log data 有权
标题翻译：从日志数据预测未来查询
公开(公告)号：US08112409B2
公开(公告)日：2012-02-07
申请号：US13157889
申请日：2011-06-10
申请人： Dou Shen , Ying Li
发明人： Dou Shen , Ying Li
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06F17/3064 , G06F17/30864 , G06Q30/0241
摘要： A system, media, and method for selecting future queries are provided. The selected future queries are used to transmit appropriate online advertising to a user that issues queries to a search engine. The search engine is coupled to a prediction component that predicts what subject the user is going to be interested in and when the user will be interested in the subject. The prediction component returns a future query using statistical language models representing a query history of the user and aggregate query histories for a community of users.
摘要翻译：提供了一种用于选择未来查询的系统，媒体和方法。所选择的未来查询用于向搜索引擎发出查询的用户传送适当的在线广告。搜索引擎耦合到预测组件，该预测组件预测用户将感兴趣的主题以及用户何时对该主题感兴趣。预测组件使用表示用户的查询历史和用户社区的聚合查询历史的统计语言模型返回未来查询。

3. 发明申请

US20120253930A1 USER INTENT STRENGTH AGGREGATING BY DECAY FACTOR 审中-公开
标题翻译：用衰减因子聚合的用户信度强度
公开(公告)号：US20120253930A1
公开(公告)日：2012-10-04
申请号：US13078300
申请日：2011-04-01
申请人： Bin Gao , Tie-Yan Liu , Jun Yan , Ning Liu , Dou Shen , Ying Li
发明人： Bin Gao , Tie-Yan Liu , Jun Yan , Ning Liu , Dou Shen , Ying Li
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0251
摘要： This application describes a system and method for estimating user intent towards categories of content. The estimation of user intent may be based at least in part on a score for prior user actions and a decay function that is applied to that score to provide an estimate of current user intent. The estimate represents current user intent for time periods in which user actions towards a category of content are negligible or non-existent.
摘要翻译：该应用描述了用于估计用户对内容类别的意图的系统和方法。用户意图的估计可至少部分地基于用于先前用户动作的分数和应用于该分数以提供当前用户意图的估计的衰减函数。估计值表示用户对一类内容的操作可忽略或不存在的时间段的当前用户意图。

4. 发明授权

US08429146B2 Predicting future queries from log data 有权
标题翻译：从日志数据预测未来查询
公开(公告)号：US08429146B2
公开(公告)日：2013-04-23
申请号：US13334953
申请日：2011-12-22
申请人： Dou Shen , Ying Li
发明人： Dou Shen , Ying Li
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06F17/3064 , G06F17/30864 , G06Q30/0241
摘要： A system, media, and method for selecting future queries are provided. The selected future queries are used to transmit appropriate online advertising to a user that issues queries to a search engine. The search engine is coupled to a prediction component that predicts what subject the user is going to be interested in and when the user will be interested in the subject. The prediction component returns a future query using statistical language models representing a query history of the user and aggregate query histories for a community of users.
摘要翻译：提供了一种用于选择未来查询的系统，媒体和方法。所选择的未来查询用于向搜索引擎发出查询的用户传送适当的在线广告。搜索引擎耦合到预测组件，该预测组件预测用户将感兴趣的主题以及用户何时对该主题感兴趣。预测组件使用表示用户的查询历史和用户社区的聚合查询历史的统计语言模型返回未来查询。

5. 发明授权

US07979415B2 Predicting future queries from log data 有权
标题翻译：从日志数据预测未来查询
公开(公告)号：US07979415B2
公开(公告)日：2011-07-12
申请号：US12204472
申请日：2008-09-04
申请人： Dou Shen , Ying Li
发明人： Dou Shen , Ying Li
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06F17/3064 , G06F17/30864 , G06Q30/0241
摘要： A system, media, and method for selecting future queries are provided. The selected future queries are used to transmit appropriate online advertising to a user that issues queries to a search engine. The search engine is coupled to a prediction component that predicts what subject the user is going to be interested in and when the user will be interested in the subject. The prediction component returns a future query using statistical language models representing a query history of the user and aggregate query histories for a community of users.
摘要翻译：提供了一种用于选择未来查询的系统，媒体和方法。所选择的未来查询用于向搜索引擎发出查询的用户传送适当的在线广告。搜索引擎耦合到预测组件，该预测组件预测用户将感兴趣的主题以及用户何时对该主题感兴趣。预测组件使用表示用户的查询历史和用户社区的聚合查询历史的统计语言模型返回未来查询。

6. 发明授权

US07392474B2 Method and system for classifying display pages using summaries 有权
标题翻译：使用汇总分类显示页面的方法和系统
公开(公告)号：US07392474B2
公开(公告)日：2008-06-24
申请号：US10836319
申请日：2004-04-30
申请人： Zheng Chen , Dou Shen , Benyu Zhang , Hua-Jun Zeng , Wei-Ying Ma
发明人： Zheng Chen , Dou Shen , Benyu Zhang , Hua-Jun Zeng , Wei-Ying Ma
IPC分类号： G06F17/00
CPC分类号： G06F17/30719 , G06F17/30864
摘要： A method and system for classifying display pages based on automatically generated summaries of display pages. A web page classification system uses a web page summarization system to generate summaries of web pages. The summary of a web page may include the sentences of the web page that are most closely related to the primary topic of the web page. The summarization system may combine the benefits of multiple summarization techniques to identify the sentences of a web page that represent the primary topic of the web page. Once the summary is generated, the classification system may apply conventional classification techniques to the summary to classify the web page. The classification system may use conventional classification techniques such as a Naïve Bayesian classifier or a support vector machine to identify the classifications of a web page based on the summary generated by the summarization system.
摘要翻译：一种基于自动生成的显示页面摘要来分类显示页面的方法和系统。网页分类系统使用网页摘要系统来生成网页摘要。网页的摘要可以包括与网页的主要主题最密切相关的网页的句子。总结系统可以结合多个汇总技术的优点来识别代表网页的主要主题的网页的句子。一旦生成摘要，分类系统可以将常规分类技术应用于摘要以对网页进行分类。分类系统可以使用诸如朴素贝叶斯分类器或支持向量机的常规分类技术来基于由汇总系统生成的摘要来识别网页的分类。

7. 发明授权

US08768922B2 Ad retrieval for user search on social network sites 有权
标题翻译：在社交网站上进行用户搜索的广告检索
公开(公告)号：US08768922B2
公开(公告)日：2014-07-01
申请号：US12028628
申请日：2008-02-08
申请人： Andrew S. Crane , Philip Lee , Dou Shen
发明人： Andrew S. Crane , Philip Lee , Dou Shen
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30864 , G06Q30/02
摘要： In this invention, systems and methods for providing keywords for advertising are provided. After a user searches for another user in a social network, the webpage or blog of the queried user is retrieved, and keywords are extracted from this webpage. The keywords may be extracted from the user's profile on the social network (e.g., favorite sports, music artists, etc.), or keywords may be extracted from the text of the webpage (e.g., comments that comprise the blog entries). Once extracted, these keywords may then be used by an advertising system to provide targeted advertisements to the user.
摘要翻译：在本发明中，提供了用于提供用于广告的关键字的系统和方法。在用户搜索社交网络中的另一用户之后，检索查询用户的网页或博客，并从该网页中提取关键字。可以从用户在社交网络（例如喜爱的运动，音乐艺术家等）上的简档中提取关键字，或者可以从网页的文本（例如，包括博客条目的评论）中提取关键字。一旦提取，这些关键字然后可以被广告系统用于向用户提供有针对性的广告。

8. 发明申请

US20060036596A1 Method and system for summarizing a document 有权
标题翻译：汇总文件的方法和系统
公开(公告)号：US20060036596A1
公开(公告)日：2006-02-16
申请号：US10918242
申请日：2004-08-13
申请人： Benyu Zhang , Wei-Ying Ma , Zheng Chen , Hua-Jun Zeng , Dou Shen
发明人： Benyu Zhang , Wei-Ying Ma , Zheng Chen , Hua-Jun Zeng , Dou Shen
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06F17/30719
摘要： A method and system for calculating the significance of a sentence within a document is provided. The summarization system calculates the significance of the sentences of a document and selects the most significant sentences as the summary of the document. The summarization system calculates the significance of a sentence based on the “important” words of the document that are contained within the sentence. The summarization system calculates the importance of words of the document using various scoring techniques and then combines the scores to classify a word as important or not important. The summarization system can then be used to identify significant sentences of the document based on the important words that a sentence contains and select significant sentences as a summary of the document.
摘要翻译：提供了一种用于计算文档中句子的重要性的方法和系统。总结系统计算文档的句子的重要性，并选择最重要的句子作为文档的摘要。总结系统根据文本中包含的“重要”字来计算句子的意义。总结系统使用各种评分技术计算文档的单词的重要性，然后将分数组合成一个单词重要或不重要。然后，总结系统可以用于基于句子包含的重要词语来识别文档的重要句子，并且将重要句子作为文档的摘要来选择。

9. 发明申请

US20050246410A1 Method and system for classifying display pages using summaries 有权
标题翻译：使用汇总分类显示页面的方法和系统
公开(公告)号：US20050246410A1
公开(公告)日：2005-11-03
申请号：US10836319
申请日：2004-04-30
申请人： Zheng Chen , Dou Shen , Benyu Zhang , Hua-Jun Zeng , Wei-Ying Ma
发明人： Zheng Chen , Dou Shen , Benyu Zhang , Hua-Jun Zeng , Wei-Ying Ma
IPC分类号： G06F17/30 , G06F15/16
CPC分类号： G06F17/30719 , G06F17/30864
摘要： A method and system for classifying display pages based on automatically generated summaries of display pages. A web page classification system uses a web page summarization system to generate summaries of web pages. The summary of a web page may include the sentences of the web page that are most closely related to the primary topic of the web page. The summarization system may combine the benefits of multiple summarization techniques to identify the sentences of a web page that represent the primary topic of the web page. Once the summary is generated, the classification system may apply conventional classification techniques to the summary to classify the web page. The classification system may use conventional classification techniques such as a Naïve Bayesian classifier or a support vector machine to identify the classifications of a web page based on the summary generated by the summarization system.
摘要翻译：一种基于自动生成的显示页面摘要来分类显示页面的方法和系统。网页分类系统使用网页摘要系统来生成网页摘要。网页的摘要可以包括与网页的主要主题最密切相关的网页的句子。总结系统可以结合多个汇总技术的优点来识别代表网页的主要主题的网页的句子。一旦生成摘要，分类系统可以将常规分类技术应用于摘要以对网页进行分类。分类系统可以使用诸如朴素贝叶斯分类器或支持向量机的常规分类技术来基于由汇总系统生成的摘要来识别网页的分类。

10. 发明申请

US20110270819A1 CONTEXT-AWARE QUERY CLASSIFICATION 审中-公开
标题翻译： CONTEXT-AWARE QUERY分类
公开(公告)号：US20110270819A1
公开(公告)日：2011-11-03
申请号：US12771832
申请日：2010-04-30
申请人： Dou Shen , Daxin Jiang , Jian-Tao Sun
发明人： Dou Shen , Daxin Jiang , Jian-Tao Sun
IPC分类号： G06F17/30
CPC分类号： G06F16/9535 , G06F16/951
摘要： Query classification techniques attempt to classify user search queries in order to better understand user search intent. Understanding a user's search intent allows search engines to provide relevant content tailored to the user's interest. Unfortunately, current classification techniques do not take into account contextual information. Accordingly, as provided herein, a target query may be classified based upon contextual information. In particular, features may be extracted from contextual information and/or other sources. For example, features may be extracted from the target query, related queries, and/or invoked search results of the related queries. In this way, the target query may be classified based upon other queries performed by the user and/or search results of the queries the user found interesting. In addition, a CRF model may be utilized in classifying the target query by providing generalized parameters learned from labeled query sessions.
摘要翻译：查询分类技术尝试对用户搜索查询进行分类，以便更好地了解用户搜索意图。了解用户的搜索意图允许搜索引擎提供针对用户兴趣定制的相关内容。不幸的是，目前的分类技术没有考虑到上下文信息。因此，如本文所提供的，可以基于上下文信息对目标查询进行分类。特别地，可以从上下文信息和/或其他来源中提取特征。例如，可以从相关查询的目标查询，相关查询和/或调用的搜索结果中提取特征。以这种方式，可以基于用户执行的其他查询和/或用户发现有趣的查询的搜索结果对目标查询进行分类。此外，CRF模型可以用于通过提供从标记的查询会话学习的通用参数来对目标查询进行分类。

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