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1. 发明授权

US07848918B2 Abbreviation expansion based on learned weights 有权
标题翻译：基于学习权重的缩写扩展
公开(公告)号：US07848918B2
公开(公告)日：2010-12-07
申请号：US11538770
申请日：2006-10-04
申请人： Hua Li , Song Huang , Zheng Chen , Jian Wang
发明人： Hua Li , Song Huang , Zheng Chen , Jian Wang
IPC分类号： G06F17/27 , G06F17/21 , G10L21/00
CPC分类号： G06F17/28
摘要： A method and system for identifying expansions of abbreviations using learned weights is provided. An abbreviation system generates features for various expansions of an abbreviation and generates a score indicating the likelihood that an expansion is a correct expansion of the abbreviation. A expansion with the same number of words as letters in the abbreviation is more likely in general to be a correct expansion than an expansion with more or fewer words. The abbreviation system calculates a score based on a weighted combination of the features. The abbreviation system learns the weights for the features from training data of abbreviations, candidate expansions, and scores for the candidate expansions.
摘要翻译：提供了一种用于使用学习的权重来识别缩写的扩展的方法和系统。缩写系统产生缩写的各种扩展的特征，并生成表示扩展是缩写的正确扩展的可能性的分数。与缩写中的字母相同数量的单词的扩展通常可能是具有更多或更少单词的扩展的正确扩展。缩写系统基于特征的加权组合来计算得分。缩写系统从候选扩展的缩写，候选扩展和分数的训练数据中学习特征的权重。

2. 发明申请

US20080086297A1 ABBREVIATION EXPANSION BASED ON LEARNED WEIGHTS 有权
标题翻译：基于知识权重的缩小扩张
公开(公告)号：US20080086297A1
公开(公告)日：2008-04-10
申请号：US11538770
申请日：2006-10-04
申请人： Hua Li , Song Huang , Zheng Chen , Jian Wang
发明人： Hua Li , Song Huang , Zheng Chen , Jian Wang
IPC分类号： G06F17/28
CPC分类号： G06F17/28
摘要： A method and system for identifying expansions of abbreviations using learned weights is provided. An abbreviation system generates features for various expansions of an abbreviation and generates a score indicating the likelihood that an expansion is a correct expansion of the abbreviation. A expansion with the same number of words as letters in the abbreviation is more likely in general to be a correct expansion than an expansion with more or fewer words. The abbreviation system calculates a score based on a weighted combination of the features. The abbreviation system learns the weights for the features from training data of abbreviations, candidate expansions, and scores for the candidate expansions.
摘要翻译：提供了一种用于使用学习的权重来识别缩写的扩展的方法和系统。缩写系统产生缩写的各种扩展的特征，并生成表示扩展是缩写的正确扩展的可能性的分数。与缩写中的字母相同数量的单词的扩展通常可能是具有更多或更少单词的扩展的正确扩展。缩写系统基于特征的加权组合来计算得分。缩写系统从候选扩展的缩写，候选扩展和分数的训练数据中学习特征的权重。

3. 发明授权

US08639570B2 User advertisement click behavior modeling 有权
标题翻译：用户广告点击行为建模
公开(公告)号：US08639570B2
公开(公告)日：2014-01-28
申请号：US12131126
申请日：2008-06-02
申请人： Hua Li , Zheng Chen , Jian Wang
发明人： Hua Li , Zheng Chen , Jian Wang
IPC分类号： G06F17/30 , G06Q30/00 , G06F7/00
CPC分类号： G06Q30/02
摘要： Described herein is technology for, among other things, mining similar user clusters based on user advertisement click behaviors. The technology involves methods and systems for mining similar user clusters based on log data available on an online advertising platform. By building a user linkage representation based on one or more attributes from the log data, the similar user clusters can be harvested in more efficient manner.
摘要翻译：这里描述的是用于基于用户广告点击行为挖掘类似用户群的技术。该技术涉及基于在线广告平台上可用的日志数据挖掘类似用户群集的方法和系统。通过基于日志数据中的一个或多个属性构建用户链接表示，可以以更有效的方式收集类似的用户群集。

4. 发明授权

US08285745B2 User query mining for advertising matching 有权
标题翻译：用户查询挖掘广告匹配
公开(公告)号：US08285745B2
公开(公告)日：2012-10-09
申请号：US11849136
申请日：2007-08-31
申请人： Hua Li , HuaJun Zeng , Jian Hu , Zheng Chen , Jian Wang
发明人： Hua Li , HuaJun Zeng , Jian Hu , Zheng Chen , Jian Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30861 , G06F17/30672 , G06Q30/02
摘要： Systems and methods to determine relevant keywords from a user's search query sessions are disclosed. The described method includes identifying search session logs of a user, segmenting the search session logs into one or more search sessions. After the segmentation, the search sessions are analyzed to compose a list of semantically relevant keyword sets including at least a first keyword set and a second keyword set. The described method further includes determining a semantic relevance between the first and second keyword sets according to the frequency at which the first and second keyword sets are reported in the query results and displaying one or more semantically high relevant keyword sets after being filtered by a threshold.
摘要翻译：公开了从用户的搜索查询会话确定相关关键词的系统和方法。所描述的方法包括识别用户的搜索会话日志，将搜索会话日志分割成一个或多个搜索会话。在分割之后，分析搜索会话以构成包括至少第一关键词集合和第二关键字集合的语义相关关键字集合的列表。所描述的方法还包括根据在查询结果中报告第一和第二关键字集合的频率来确定第一和第二关键字集合之间的语义相关性，并且在被阈值过滤之后显示一个或多个语义上相关的关键字集合。

5. 发明申请

US20090299855A1 PREDICTING KEYWORD MONETIZATION 有权
标题翻译：预测关键词制衡
公开(公告)号：US20090299855A1
公开(公告)日：2009-12-03
申请号：US12131125
申请日：2008-06-02
申请人： Hua Li , Zheng Chen , Jian Wang
发明人： Hua Li , Zheng Chen , Jian Wang
IPC分类号： G06Q30/00
CPC分类号： G06Q30/08 , G06Q30/02 , G06Q30/0256 , G06Q30/0267
摘要： Embodiments of the claimed subject matter provide a method and system for predicting bidding keyword monetization. The claimed subject matter provides a method and system with which the value of a keyword for the purpose of relevant online advertisement may be evaluated according to various metrics to determine a bidding landscape for use in advertising campaigns. The value of the keyword considers certain attributes related to the monetization of the keyword.One embodiment of the claimed subject matter is implemented as a method for predicting keyword monetization for one or more keyword-advertisement relationships. Historical data for the one or more keyword-advertisement relationships is referenced and used to generate a global model of the one or more keyword-advertisement relationship. The relationships are then evaluated according to a time-series analysis, which parses the data from the historical data and the global model to create predictions for the keyword monetization according to the keyword-advertisement relationships.
摘要翻译：所要求保护的主题的实施例提供了用于预测投标关键字货币化的方法和系统。所要求保护的主题提供了一种方法和系统，其中可以根据各种度量来评估用于相关在线广告的关键字的价值，以确定用于广告活动的投标景观。该关键字的值考虑与关键字获利相关的特定属性。所要求保护的主题的一个实施例被实现为用于预测一个或多个关键字 - 广告关系的关键字获利的方法。引用一个或多个关键字 - 广告关系的历史数据，并用于生成一个或多个关键字 - 广告关系的全局模型。然后根据时间序列分析来评估关系，该时间序列分析从历史数据和全球模型中分析数据，以根据关键字 - 广告关系创建关键字营利的预测。

6. 发明申请

US20090063461A1 USER QUERY MINING FOR ADVERTISING MATCHING 有权
标题翻译：用户查询采购广告匹配
公开(公告)号：US20090063461A1
公开(公告)日：2009-03-05
申请号：US11849136
申请日：2007-08-31
申请人： Jian Wang , Hua Li , HuaJun Zeng , Jian Hu , Zheng Chen
发明人： Jian Wang , Hua Li , HuaJun Zeng , Jian Hu , Zheng Chen
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F17/30861 , G06F17/30672 , G06Q30/02
摘要： Systems and methods to determine relevant keywords from a user's search query sessions are disclosed. The described method includes identifying search session logs of a user, segmenting the search session logs into one or more search sessions. After the segmentation, the search sessions are analyzed to compose a list of semantically relevant keyword sets including at least a first keyword set and a second keyword set. The described method further includes determining a semantic relevance between the first and second keyword sets according to the frequency at which the first and second keyword sets are reported in the query results and displaying one or more semantically high relevant keyword sets after being filtered by a threshold.
摘要翻译：公开了从用户的搜索查询会话确定相关关键词的系统和方法。所描述的方法包括识别用户的搜索会话日志，将搜索会话日志分割成一个或多个搜索会话。在分割之后，分析搜索会话以构成包括至少第一关键词集合和第二关键字集合的语义相关关键字集合的列表。所描述的方法还包括根据在查询结果中报告第一和第二关键字集合的频率来确定第一和第二关键字集合之间的语义相关性，并且在被阈值过滤之后显示一个或多个语义上相关的关键字集合。

7. 发明授权

US08117050B2 Advertiser monetization modeling 有权
标题翻译：广告商营利建模
公开(公告)号：US08117050B2
公开(公告)日：2012-02-14
申请号：US12131124
申请日：2008-06-02
申请人： Hua Li , Zheng Chen , Jian Wang
发明人： Hua Li , Zheng Chen , Jian Wang
IPC分类号： G06Q40/00 , G06Q30/00 , G01C21/34
CPC分类号： G06Q30/02 , G06Q10/025 , G06Q30/0207 , G06Q30/0277 , G06Q40/08
摘要： Embodiments of the claimed subject matter provide a method and system for modeling advertiser monetization. The claimed subject matter provides a method and system from which an advertisement may be evaluated according to various metrics to determine a quality relative to other advertisements. The relative quality considers the content of the advertisement, the performance of the advertisement and the history of the advertiser's bidding behavior.One embodiment of the claimed subject matter is implemented as a method for advertiser monetization modeling. One or more advertisements are received from one or more advertisers. The quality of the advertisement(s) is defined according to certain metrics, such as the quality of the content of the advertisement, the quality of the past and estimated future performance of the advertisement and the history of bidding behavior of the advertiser. After the respective quality of the advertisement(s) is determined, the advertisement(s) is ranked with other advertisements according to the determined quality.
摘要翻译：所要求保护的主题的实施例提供了用于对广告商获利进行建模的方法和系统。所要求保护的主题提供了一种方法和系统，从该方法和系统可以根据各种度量来评估广告以确定相对于其他广告的质量。相对质量考虑广告的内容，广告的表现以及广告商的投标行为的历史。所要求保护的主题的一个实施例被实现为广告商获利建模的方法。从一个或多个广告商接收一个或多个广告。广告的质量根据广告内容的质量，过去的质量以及广告的未来预测以及广告主的投标行为的历史等某些指标来定义。在确定了广告的相应质量之后，根据所确定的质量对广告进行其他广告的排序。

8. 发明申请

US20080313180A1 IDENTIFICATION OF TOPICS FOR ONLINE DISCUSSIONS BASED ON LANGUAGE PATTERNS 有权
标题翻译：基于语言模式的在线讨论主题的识别
公开(公告)号：US20080313180A1
公开(公告)日：2008-12-18
申请号：US11763282
申请日：2007-06-14
申请人： Hua-Jun Zeng , Hua Li , Jian Hu , Zheng Chen , Duo Zhang , Jian Wang
发明人： Hua-Jun Zeng , Hua Li , Jian Hu , Zheng Chen , Duo Zhang , Jian Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30731 , G06Q30/02
摘要： A topic identification system identifies topics of online discussions by iteratively identifying topic words or keywords of the online discussions and identifying language patterns associated with those keywords. The topic identification system starts out with an initial set of keywords and identifies language patterns that each include a keyword. The topic identification system then uses the identified language patterns to identify additional keywords of the online discussion that match the patterns. The topic identification system then again identifies language patterns using the keywords including the newly identified keywords. The topic identification system may repeat the process of identifying language patterns and keywords until a termination criterion is satisfied.
摘要翻译：主题识别系统通过迭代地识别在线讨论的主题或关键字并识别与这些关键字相关联的语言模式来识别在线讨论的主题。主题识别系统以一组初始关键字开始，并识别每个关键字的语言模式。然后，主题识别系统使用所识别的语言模式来识别与模式匹配的在线讨论的附加关键字。然后，主题识别系统再次使用包括新确定的关键字的关键字来识别语言模式。主题识别系统可以重复识别语言模式和关键字的过程，直到满足终止标准。

9. 发明授权

US07739261B2 Identification of topics for online discussions based on language patterns 有权
标题翻译：基于语言模式识别在线讨论的主题
公开(公告)号：US07739261B2
公开(公告)日：2010-06-15
申请号：US11763282
申请日：2007-06-14
申请人： Hua-Jun Zeng , Hua Li , Jian Hu , Zheng Chen , Duo Zhang , Jian Wang
发明人： Hua-Jun Zeng , Hua Li , Jian Hu , Zheng Chen , Duo Zhang , Jian Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30731 , G06Q30/02
摘要： A topic identification system identifies topics of online discussions by iteratively identifying topic words or keywords of the online discussions and identifying language patterns associated with those keywords. The topic identification system starts out with an initial set of keywords and identifies language patterns that each include a keyword. The topic identification system then uses the identified language patterns to identify additional keywords of the online discussion that match the patterns. The topic identification system then again identifies language patterns using the keywords including the newly identified keywords. The topic identification system may repeat the process of identifying language patterns and keywords until a termination criterion is satisfied.
摘要翻译：主题识别系统通过迭代地识别在线讨论的主题或关键字并识别与这些关键字相关联的语言模式来识别在线讨论的主题。主题识别系统以一组初始关键字开始，并识别每个关键字的语言模式。然后，主题识别系统使用所识别的语言模式来识别与模式匹配的在线讨论的附加关键字。然后，主题识别系统再次使用包括新确定的关键字的关键字来识别语言模式。主题识别系统可以重复识别语言模式和关键字的过程，直到满足终止标准。

10. 发明申请

US20090299967A1 USER ADVERTISEMENT CLICK BEHAVIOR MODELING 有权
标题翻译：用户广告点击行为建模
公开(公告)号：US20090299967A1
公开(公告)日：2009-12-03
申请号：US12131126
申请日：2008-06-02
申请人： Hua Li , Zheng Chen , Jian Wang
发明人： Hua Li , Zheng Chen , Jian Wang
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06Q30/02
摘要： Described herein is technology for, among other things, mining similar user clusters based on user advertisement click behaviors. The technology involves methods and systems for mining similar user clusters based on log data available on an online advertising platform. By building a user linkage representation based on one or more attributes from the log data, the similar user clusters can be harvested in more efficient manner.
摘要翻译：这里描述的是用于基于用户广告点击行为挖掘类似用户群的技术。该技术涉及基于在线广告平台上可用的日志数据挖掘类似用户群集的方法和系统。通过基于日志数据中的一个或多个属性构建用户链接表示，可以以更有效的方式收集类似的用户群集。

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