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11. 发明申请

US20080300971A1 ADVERTISEMENT APPROVAL BASED ON TRAINING DATA 审中-公开
标题翻译：基于培训数据的广告批准
公开(公告)号：US20080300971A1
公开(公告)日：2008-12-04
申请号：US11755523
申请日：2007-05-30
申请人： Hua-Jun Zeng , Hua Li , Jian Hu , Zheng Chen , Jian Wang
发明人： Hua-Jun Zeng , Hua Li , Jian Hu , Zheng Chen , Jian Wang
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0242 , G06Q30/0254 , G06Q30/0256 , G06Q30/0263
摘要： A system for determining whether to approve a target document (e.g., advertisement) is provided. The system trains a classifier using tuples of words from appropriate documents and tuples of words from inappropriate documents. To approve a target document, the system identifies tuples of words of the target document. The system then applies the classifier to the identified tuples to classify the document as being appropriate or inappropriate. If the document is classified as appropriate, the system automatically approves the document.
摘要翻译：提供用于确定是否批准目标文档（例如，广告）的系统。系统使用适当文件的单词组和不适当文件的单词元组来训练分类器。要批准目标文档，系统会标识目标文档的单词元组。然后，系统将分类器应用于所识别的元组，以将文档分类为合适或不合适。如果文档被分类为适当的，系统将自动批准文档。

12. 发明申请

US20080208841A1 CLICK-THROUGH LOG MINING 有权
标题翻译：点击通过日志采矿
公开(公告)号：US20080208841A1
公开(公告)日：2008-08-28
申请号：US11870359
申请日：2007-10-10
申请人： Huajun Zeng , Jian Hu , Hua Li , Zheng Chen , Jian Wang
发明人： Huajun Zeng , Jian Hu , Hua Li , Zheng Chen , Jian Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30648 , G06F17/30672 , G06F17/30864
摘要： Click-through log mining is described. Raw search click-through log data is processed to generate ordered query keywords, utilizing an algorithm to expand user-submitted keywords to include high frequency user queries, managing the keywords for a keyword expansion file, analyzing the algorithm performance on a bidding criteria, and identifying related phrases with similar page-click behaviors for advertisements.
摘要翻译：描述了点击式日志挖掘。处理原始搜索点击后日志数据以生成有序查询关键字，利用算法来扩展用户提交的关键字以包括高频用户查询，管理关键字扩展文件的关键字，以出价标准分析算法性能;以及识别与广告相似的页面点击行为的相关短语。

13. 发明授权

US07644075B2 Keyword usage score based on frequency impulse and frequency weight 失效
标题翻译：基于频率冲击和频率权重的关键词使用得分
公开(公告)号：US07644075B2
公开(公告)日：2010-01-05
申请号：US11756740
申请日：2007-06-01
申请人： Hua-Jun Zeng , Hua Li , Jian Hu , Han Peng , Zheng Chen , Jian Wang
发明人： Hua-Jun Zeng , Hua Li , Jian Hu , Han Peng , Zheng Chen , Jian Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99935
摘要： A method and system for assessing keyword usage based on frequency of usage of the keywords during various periods is provided. A keyword usage measurement system is provided with the frequency of keywords during various periods. The measurement system then calculates a recent usage score for a keyword by combining a frequency impulse score for the keyword with a frequency weight for the keyword. The frequency impulse score for a keyword indicates whether a recent change in the frequency of the keyword has occurred. The frequency weight for a keyword indicates a recent measure of the frequency of the keyword.
摘要翻译：提供了一种基于各种期间关键词使用频率来评估关键字使用的方法和系统。关键字使用测量系统在不同时期提供关键字的频率。然后，测量系统通过将关键字的频率脉冲得分与该关键字的频率权重组合来计算关键字的最近使用分数。关键字的频率脉冲得分指示是否发生了关键字的频率的最近的改变。关键字的频率权重表示最近对关键字频率的度量。

14. 发明授权

US08682839B2 Predicting keyword monetization 有权
标题翻译：预测关键字营利
公开(公告)号：US08682839B2
公开(公告)日：2014-03-25
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： G06F17/30 , G06Q40/00
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。

15. 发明授权

US07761287B2 Inferring opinions based on learned probabilities 失效
标题翻译：根据学习概率推论意见
公开(公告)号：US07761287B2
公开(公告)日：2010-07-20
申请号：US11552057
申请日：2006-10-23
申请人： Hua Li , Jian-Lai Zhou , Dongmei Zhang, legal representative , Zheng Chen , Jian Wang
发明人： Hua Li , Jian-Lai Zhou , Zheng Chen , Jian Wang
IPC分类号： G06F17/20 , G06Q30/00
CPC分类号： G06F17/2715 , G06Q30/02 , G06Q30/0217 , G06Q30/0282
摘要： An opinion system infers the opinion of a sentence of a product review based on a probability that the sentence contains certain sequences of parts of speech that are commonly used to express an opinion as indicated by the training data and the probabilities of the training data. When provided with the sentence, the opinion system identifies possible sequences of parts of speech of the sentence that are commonly used to express an opinion and the probability that the sequence is the correct sequence for the sentence. For each sequence, the opinion system then retrieves a probability derived from the training data that the sequence contains an opinion word that expresses an opinion. The opinion system then retrieves a probability from the training data that the opinion words of the sentence are used to express an opinion. The opinion system then combines the probabilities to generate an overall probability that the sentence with that sequence expresses an opinion.
摘要翻译：意见系统根据该训练数据和训练数据概率所指示的句子包含通常用于表达意见的特定词汇序列的概率来推断产品评论句子的意见。当提供句子时，意见系统识别通常用于表达意见的句子的部分语音的可能序列以及序列是句子的正确序列的概率。对于每个序列，意见系统然后检索从训练数据得出的概率，该序列包含表达意见的意见词。然后，意见系统从训练数据中检索出用于表达意见的句子意见词的概率。然后，意见系统将概率组合以产生具有该序列的句子表达意见的总体概率。

16. 发明申请

US20090299831A1 ADVERTISER MONETIZATION MODELING 有权
标题翻译：广告机构建模
公开(公告)号：US20090299831A1
公开(公告)日：2009-12-03
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： G06Q90/00
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表现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。

17. 发明申请

US20080301117A1 KEYWORD USAGE SCORE BASED ON FREQUENCY IMPULSE AND FREQUENCY WEIGHT 失效
标题翻译：基于频率和频率的关键字使用分数
公开(公告)号：US20080301117A1
公开(公告)日：2008-12-04
申请号：US11756740
申请日：2007-06-01
申请人： Hua-Jun Zeng , Hua Li , Jian Hu , Han Peng , Zheng Chen , Jian Wang
发明人： Hua-Jun Zeng , Hua Li , Jian Hu , Han Peng , Zheng Chen , Jian Wang
IPC分类号： G06F7/76 , G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99935
摘要： A method and system for assessing keyword usage based on frequency of usage of the keywords during various periods is provided. A keyword usage measurement system is provided with the frequency of keywords during various periods. The measurement system then calculates a recent usage score for a keyword by combining a frequency impulse score for the keyword with a frequency weight for the keyword. The frequency impulse score for a keyword indicates whether a recent change in the frequency of the keyword has occurred. The frequency weight for a keyword indicates a recent measure of the frequency of the keyword.
摘要翻译：提供了一种基于各种期间关键词使用频率来评估关键字使用的方法和系统。关键字使用测量系统在不同时期提供关键字的频率。然后，测量系统通过将关键字的频率脉冲得分与该关键字的频率权重组合来计算关键字的最近使用分数。关键字的频率脉冲得分指示是否发生了关键字的频率的最近的改变。关键字的频率权重表示最近对关键字频率的度量。

18. 发明申请

US20080103886A1 DETERMINING RELEVANCE OF A TERM TO CONTENT USING A COMBINED MODEL 审中-公开
标题翻译：使用组合模型确定期限与内容的相关性
公开(公告)号：US20080103886A1
公开(公告)日：2008-05-01
申请号：US11553897
申请日：2006-10-27
申请人： Hua Li , Zheng Chen , Benyu Zhang , Hua-Jun Zeng , Jian Wang
发明人： Hua Li , Zheng Chen , Benyu Zhang , Hua-Jun Zeng , Jian Wang
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0275 , G06Q30/0277
摘要： A method and system for generating and using a combined model to identify whether a bid term is relevant to an advertisement is provided. A relevance system trains a combined model that includes an initial model and a decision tree model that are trained using features that represent relationships between bid terms and advertisements. The relevance system trains the initial model to map initial model features to a modeled relevance. The relevance system trains the decision tree model to map the decision tree features and the modeled relevance to a final relevance. The trained initial model and decision tree model represent the combined model. The relevance system then uses the combined model to determine the relevance of bid terms to advertisements.
摘要翻译：提供了一种用于生成和使用组合模型以识别出价项是否与广告相关的方法和系统。相关系统训练包括初始模型和决策树模型的组合模型，该模型使用表示投标条款和广告之间关系的特征来训练。相关系统训练初始模型以将初始模型特征映射到建模相关性。相关系统训练决策树模型，将决策树特征和建模相关性映射到最终相关性。训练初始模型和决策树模型代表组合模型。相关系统然后使用组合模型来确定投标条款与广告的相关性。

19. 发明申请

US20080097758A1 INFERRING OPINIONS BASED ON LEARNED PROBABILITIES 失效
标题翻译：基于认知可行性的感染意见
公开(公告)号：US20080097758A1
公开(公告)日：2008-04-24
申请号：US11552057
申请日：2006-10-23
申请人： Hua Li , Jian-Lai Zhou , Zheng Chen , Jian Wang , Dongmei Zhang
发明人： Hua Li , Jian-Lai Zhou , Zheng Chen , Jian Wang , Dongmei Zhang
IPC分类号： G10L15/00
CPC分类号： G06F17/2715 , G06Q30/02 , G06Q30/0217 , G06Q30/0282
摘要： An opinion system infers the opinion of a sentence of a product review based on a probability that the sentence contains certain sequences of parts of speech that are commonly used to express an opinion as indicated by the training data and the probabilities of the training data. When provided with the sentence, the opinion system identifies possible sequences of parts of speech of the sentence that are commonly used to express an opinion and the probability that the sequence is the correct sequence for the sentence. For each sequence, the opinion system then retrieves a probability derived from the training data that the sequence contains an opinion word that expresses an opinion. The opinion system then retrieves a probability from the training data that the opinion words of the sentence are used to express an opinion. The opinion system then combines the probabilities to generate an overall probability that the sentence with that sequence expresses an opinion.
摘要翻译：意见系统根据该训练数据和训练数据概率所指示的句子包含通常用于表达意见的特定词汇序列的概率来推断产品评论的句子的意见。当提供句子时，意见系统识别通常用于表达意见的句子的部分语音的可能序列以及序列是句子的正确序列的概率。对于每个序列，意见系统然后检索从训练数据得出的概率，该序列包含表达意见的意见词。然后，意见系统从训练数据中检索出用于表达意见的句子意见词的概率。然后，意见系统将概率组合以产生具有该序列的句子表达意见的总体概率。

20. 发明授权

US08302197B2 Identifying data associated with security issue attributes 有权
标题翻译：识别与安全性问题属性相关联的数据
公开(公告)号：US08302197B2
公开(公告)日：2012-10-30
申请号：US11823731
申请日：2007-06-28
申请人： Song Huang , Yingnong Dang , Xiaohui Hou , Dongmei Zhang , Jian Wang
发明人： Song Huang , Yingnong Dang , Xiaohui Hou , Dongmei Zhang , Jian Wang
IPC分类号： G06F11/00
CPC分类号： G06F21/57
摘要： A method for identifying data related to a software security issue is provided. The method includes accessing a software security issue and determining one or more attributes associated with the software security issue. The method also includes accessing aggregated software security data retrieved from a plurality of on-line sources and searching the aggregated software security data for the attributes associated with the security issue. The method further includes associating a portion of the aggregated data with the security issue based on matching the attributes associated with the security issue with contents of the portion of the aggregated data.
摘要翻译：提供了一种识别与软件安全问题有关的数据的方法。该方法包括访问软件安全问题并确定与软件安全问题相关联的一个或多个属性。该方法还包括访问从多个在线源检索的聚合软件安全数据，并搜索聚合的软件安全数据以获得与安全问题相关联的属性。该方法还包括基于将与安全性问题相关联的属性与聚合数据的该部分的内容相匹配来将聚合数据的一部分与安全性问题相关联。

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