公开(公告)号：US07693823B2

公开(公告)日：2010-04-06

申请号：US11770385

申请日：2007-06-28

申请人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/30

CPC分类号： G06F17/30864 ,  G06Q30/02

摘要： Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

摘要翻译： 用于分析和建模查询频率的技术由查询分析系统提供。 查询分析系统分析查询的频率，以确定查询是时间依赖还是时间无关。 查询分析系统根据其周期性预测与时间相关的查询的频率。 查询分析系统根据与其他查询的因果关系预测与时间无关的查询的频率。 为了预测时间无关查询的频率，查询分析系统随时间分析查询的频率，以识别频率的显着增加，这被称为“查询事件”或“事件”。查询分析系统预测频率 基于具有事件倾向于在要预测的查询的事件之前的查询的与时间无关的查询。

公开(公告)号：US07689622B2

公开(公告)日：2010-03-30

申请号：US11770423

申请日：2007-06-28

申请人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/30

CPC分类号： G06F17/30864 ,  G06Q30/02

摘要： Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

摘要翻译： 用于分析和建模查询频率的技术由查询分析系统提供。 查询分析系统分析查询的频率，以确定查询是时间依赖还是时间无关。 查询分析系统根据其周期性预测与时间相关的查询的频率。 查询分析系统根据与其他查询的因果关系预测与时间无关的查询的频率。 为了预测时间无关查询的频率，查询分析系统随时间分析查询的频率，以识别频率的显着增加，这被称为“查询事件”或“事件”。查询分析系统预测频率 基于具有事件倾向于在要预测的查询的事件之前的查询的与时间无关的查询。

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。

公开(公告)号：US07624130B2

公开(公告)日：2009-11-24

申请号：US11392640

申请日：2006-03-30

申请人： Zheng Chen ,  Lei Li ,  Chenxi Lin ,  Qiaoling Liu ,  Jian Wang ,  Benyu Zhang

发明人： Zheng Chen ,  Lei Li ,  Chenxi Lin ,  Qiaoling Liu ,  Jian Wang ,  Benyu Zhang

IPC分类号： G06F17/30

CPC分类号： G06F17/30616 ,  Y10S707/99936 ,  Y10S707/99953 ,  Y10S707/99954

摘要： Extraction of semantic information and the generation of semantic attributes allows for improved organization and management of data. Semantic attributes are automatically generated and eliminate the need for manual entry of attribute information. A semantic file network may further be constructed based on similarities between files that are based on the semantic attribute information. Semantic links representing a semantic relationship may be built between similar or relevant files. In addition, user operations and user operation patterns may also be considered in building the file network. Semantic attributes and information may further facilitate browsing the file systems as well as improve the accuracy and speed of queries.

摘要翻译： 语义信息的提取和语义属性的产生可以改善数据的组织和管理。 自动生成语义属性，无需手动输入属性信息。 还可以基于基于语义属性信息的文件之间的相似性来构建语义文件网络。 表示语义关系的语义链接可以在相似或相关文件之间建立。 此外，在构建文件网络时也可以考虑用户操作和用户操作模式。 语义属性和信息可以进一步促进文件系统的浏览以及提高查询的准确性和速度。

公开(公告)号：US07571162B2

公开(公告)日：2009-08-04

申请号：US11365961

申请日：2006-03-01

申请人： Jian-Tao Sun ,  Xuanhui Wang ,  Dou Shen ,  Hua-Jun Zeng ,  Jian Wang ,  Zheng Chen

发明人： Jian-Tao Sun ,  Xuanhui Wang ,  Dou Shen ,  Hua-Jun Zeng ,  Jian Wang ,  Zheng Chen

IPC分类号： G06F17/30 ,  G06F15/16

CPC分类号： G06F17/30864 ,  G06F17/3071 ,  Y10S707/99935 ,  Y10S707/99945

摘要： Methods and systems are provided for performing a comparative search. In one example, the comparative search is performed over a network, such as the web, or a database. In one exemplary implementation, a user transmits a plurality of queries which represent the topics that a user wants to compare, and a computing system can automatically retrieve and rank web pages or documents based on both their relevance to queries and the comparative contents they contain. In one such example, the comparative pages are displayed in a pair or other form of a grouping. In another example, comparative results having similar contents may be clustered into meaningful themes.

摘要翻译： 提供了用于执行比较搜索的方法和系统。 在一个示例中，比较搜索通过诸如网络或数据库的网络执行。 在一个示例性实现中，用户发送表示用户想要比较的主题的多个查询，并且计算系统可以基于它们与查询的相关性及其包含的比较内容来自动检索和排序网页或文档。 在一个这样的示例中，比较页面以一对或其他形式的分组显示。 在另一个例子中，具有相似内容的比较结果可以聚集成有意义的主题。

公开(公告)号：US07555480B2

公开(公告)日：2009-06-30

申请号：US11456753

申请日：2006-07-11

申请人： Benyu Zhang ,  Chenxi Lin ,  Hua-Jun Zeng ,  Jian Wang ,  Ke Tang ,  Zheng Chen

发明人： Benyu Zhang ,  Chenxi Lin ,  Hua-Jun Zeng ,  Jian Wang ,  Ke Tang ,  Zheng Chen

IPC分类号： G06F17/30 ,  G06F17/00 ,  G06F12/00 ,  G06F3/048

CPC分类号： G06F17/30864 ,  Y10S707/99935

摘要： The invention provides a method of interactively crawling data records on a web page. Users may select various data records of interest on a web page to generate templates to search for similar data items on the same web page or on different web pages. A tree matching algorithm may be used to compare and extract data matching the generated template.

摘要翻译： 本发明提供了一种在网页上交互地爬行数据记录的方法。 用户可以在网页上选择感兴趣的各种数据记录，以生成在同一网页或不同网页上搜索类似数据项的模板。 树匹配算法可用于比较和提取与生成的模板匹配的数据。

公开(公告)号：US20090132530A1

公开(公告)日：2009-05-21

申请号：US11941968

申请日：2007-11-19

申请人： Weizhu Chen ,  Long Jiang ,  Ming Zhou ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Weizhu Chen ,  Long Jiang ,  Ming Zhou ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/30

CPC分类号： G06F17/30864

摘要： Described herein is technology for, among other things, mining pair-based data on the web. The technology involves an online pair-based data mining system as well as an offline SVM training system. By subjecting a pair-based input data to the systems, one may grow a pool of pair-based data which share characteristics of the pair-based input data in more efficient manner.

摘要翻译： 这里描述的是用于在网络上挖掘基于对的数据的技术。 该技术涉及一个在线的基于对的数据挖掘系统以及离线SVM培训系统。 通过对基于对的输入数据进行系统的处理，可以以更有效的方式增加基于成对的输入数据的特征的基于对的数据池。

公开(公告)号：US20090006284A1

公开(公告)日：2009-01-01

申请号：US11770445

申请日：2007-06-28

申请人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F15/18 ,  G06F17/30 ,  G06F7/06

CPC分类号： G06F17/30864 ,  G06Q30/02

摘要： Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

摘要翻译： 用于分析和建模查询频率的技术由查询分析系统提供。 查询分析系统分析查询的频率，以确定查询是时间依赖还是时间无关。 查询分析系统根据其周期性预测与时间相关的查询的频率。 查询分析系统根据与其他查询的因果关系预测与时间无关的查询的频率。 为了预测与时间无关的查询的频率，查询分析系统会随着时间的推移分析查询的频率，以确定频率的显着增加，这被称为“查询事件”或“事件”。 查询分析系统基于具有事件倾向于在要预测的查询的事件之前的查询来预测与时间无关的查询的频率。

公开(公告)号：US20090006045A1

公开(公告)日：2009-01-01

申请号：US11770385

申请日：2007-06-28

申请人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/10

CPC分类号： G06F17/30864 ,  G06Q30/02

摘要： Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

摘要翻译： 用于分析和建模查询频率的技术由查询分析系统提供。 查询分析系统分析查询的频率，以确定查询是时间依赖还是时间无关。 查询分析系统根据其周期性预测与时间相关的查询的频率。 查询分析系统根据与其他查询的因果关系预测与时间无关的查询的频率。 为了预测与时间无关的查询的频率，查询分析系统会随着时间的推移分析查询的频率，以确定频率的显着增加，这被称为“查询事件”或“事件”。 查询分析系统基于具有事件倾向于在要预测的查询的事件之前的查询来预测与时间无关的查询的频率。

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。