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1. 发明授权

US08417695B2 Identifying related concepts of URLs and domain names 有权
标题翻译：识别URL和域名的相关概念
公开(公告)号：US08417695B2
公开(公告)日：2013-04-09
申请号：US12610202
申请日：2009-10-30
申请人： Qian Zhong , Riccardo Boscolo , Behnam A. Rezaei , Sam Talaie , Vwani P. Roychowdhury
发明人： Qian Zhong , Riccardo Boscolo , Behnam A. Rezaei , Sam Talaie , Vwani P. Roychowdhury
IPC分类号： G06F17/30
CPC分类号： G06F17/278
摘要： A solution for identifying related concepts of URLs and domain names includes using structural parsing to extract information from user input comprising a URL or domain name. The information includes one or more of a protocol, a location, and a subdirectory. Semantic parsing of the information is used to identify a first one or more concepts represented by one or more tokens within the extracted information. A content association map is queried to retrieve a second one or more concepts related to the first one or more concepts. Each of the concepts represents a unit of thought, expressed by a term, letter, or symbol. The concept association map includes a representation of concepts, concept metadata, and relationships between the concepts. The first one or more concepts and the second one or more concepts are ranked, and the ranked concepts are stored for displaying to one or more users of the computer platform.
摘要翻译：用于识别URL和域名的相关概念的解决方案包括使用结构解析来从包括URL或域名的用户输入中提取信息。信息包括协议，位置和子目录中的一个或多个。信息的语义解析用于识别在所提取的信息内由一个或多个令牌表示的第一个或多个概念。查询内容关联图以检索与第一个或多个概念相关的第二个或多个概念。每个概念都代表一个思想单元，用一个术语，一个字母或符号表示。概念关联图包括概念，概念元数据和概念之间的关系的表示。第一个一个或多个概念和第二个一个或多个概念被排序，并且排列的概念被存储以显示给计算机平台的一个或多个用户。

2. 发明申请

US20100114879A1 IDENTIFYING RELATED CONCEPTS OF URLS AND DOMAIN NAMES 有权
标题翻译：识别URL和域名的相关概念
公开(公告)号：US20100114879A1
公开(公告)日：2010-05-06
申请号：US12610202
申请日：2009-10-30
申请人： Qian Zhong , Riccardo Boscolo , Behnam A. Rezaei , Sam Talaie , Vwani P. Roychowdhury
发明人： Qian Zhong , Riccardo Boscolo , Behnam A. Rezaei , Sam Talaie , Vwani P. Roychowdhury
IPC分类号： G06F17/30
CPC分类号： G06F17/278
摘要： A solution for identifying related concepts of URLs and domain names includes using structural parsing to extract information from user input comprising a URL or domain name. The information includes one or more of a protocol, a location, and a subdirectory. Semantic parsing of the information is used to identify a first one or more concepts represented by one or more tokens within the extracted information. A content association map is queried to retrieve a second one or more concepts related to the first one or more concepts. Each of the concepts represents a unit of thought, expressed by a term, letter, or symbol. The concept association map includes a representation of concepts, concept metadata, and relationships between the concepts. The first one or more concepts and the second one or more concepts are ranked, and the ranked concepts are stored for displaying to one or more users of the computer platform.
摘要翻译：用于识别URL和域名的相关概念的解决方案包括使用结构解析来从包括URL或域名的用户输入中提取信息。信息包括协议，位置和子目录中的一个或多个。信息的语义解析用于识别在所提取的信息内由一个或多个令牌表示的第一个或多个概念。查询内容关联图以检索与第一个或多个概念相关的第二个或多个概念。每个概念都代表一个思想单元，用一个术语，一个字母或符号表示。概念关联图包括概念，概念元数据和概念之间的关系的表示。第一个一个或多个概念和第二个一个或多个概念被排序，并且排列的概念被存储以显示给计算机平台的一个或多个用户。

3. 发明申请

US20090300009A1 Behavioral Targeting For Tracking, Aggregating, And Predicting Online Behavior 审中-公开
标题翻译：用于跟踪，聚合和预测在线行为的行为目标
公开(公告)号：US20090300009A1
公开(公告)日：2009-12-03
申请号：US12476205
申请日：2009-06-01
申请人： Behnam A. Rezaei , Riccardo Boscolo , Nima Khajehnouri , Vwani P. Roychowdhury , Himawan Gunadhi
发明人： Behnam A. Rezaei , Riccardo Boscolo , Nima Khajehnouri , Vwani P. Roychowdhury , Himawan Gunadhi
IPC分类号： G06F17/30
CPC分类号： H04L67/22 , G06Q30/0251 , H04L67/306
摘要： A pre-computed concept map represents concepts, concept metadata, and relationships between the plurality of concepts. Online user behavior may be predicted by correlating one or more online events of a user with one or more features of the concept map, aggregating a concept map history of the user to obtain online behavior over time, aggregating online behavior of the user and one or more other users to obtain aggregated online user behavior, and predicting future online behavior of the user based at least in part on the online behavior of the user and the aggregated online user behavior. The predicted behavior may be used to target ads that the user is likely to find relevant.
摘要翻译：预先计算的概念图表示概念，概念元数据以及多个概念之间的关系。可以通过将用户的一个或多个在线事件与概念图的一个或多个特征相关联来预测在线用户行为，聚合用户的概念图历史以获得随时间的在线行为，聚合用户的在线行为以及一个或多个更多其他用户获得聚合的在线用户行为，并至少部分地基于用户的在线行为和聚合的在线用户行为来预测用户的未来在线行为。预测的行为可能用于定位用户可能会找到相关的广告。

4. 发明申请

US20080301033A1 METHOD AND APPARATUS FOR OPTIMIZING LONG TERM REVENUES IN ONLINE AUCTIONS 审中-公开
标题翻译：在线拍卖优化长期收入的方法和装置
公开(公告)号：US20080301033A1
公开(公告)日：2008-12-04
申请号：US12130171
申请日：2008-05-30
申请人： Sudhir K. SINGH , Vwani P. Roychowdhury , Behnam A. Rezaei
发明人： Sudhir K. SINGH , Vwani P. Roychowdhury , Behnam A. Rezaei
IPC分类号： G06Q30/00
CPC分类号： G06Q30/08 , G06Q40/04
摘要： A method and apparatus for optimizing long-term revenues in online auctions of distinguishable units of an item. For example, the item might be a specific keyword in sponsored search where the distinguishable units could be different slots for putting ads. The system can estimate parameters such as relevance and value by using a notion of fairness and can optimize the revenue by effecting the users' incentives and by improving the bidding language. In general, the method and the system can also be used for equivalent offline auctions.
摘要翻译：一种用于优化项目可区分单元的在线拍卖的长期收入的方法和装置。例如，该项目可能是赞助搜索中的特定关键字，其中可区分单元可能是放置广告的不同插槽。系统可以通过使用公平性概念来估计相关性和价值等参数，并可以通过实现用户的激励措施来优化收益，并通过提高投标语言。通常，该方法和系统也可用于等效的离线拍卖。

5. 发明授权

US09817902B2 Methods and apparatus for matching relevant content to user intention 有权
公开(公告)号：US09817902B2
公开(公告)日：2017-11-14
申请号：US11923546
申请日：2007-10-24
申请人： Behnam A. Rezaei
发明人： Behnam A. Rezaei
IPC分类号： G06F17/30 , G06Q10/02
CPC分类号： G06F17/30867 , G06F17/30528 , G06Q10/02
摘要： Methods and apparatus for a new approach to the problem of matching relevant content to user queries. Instead of looking for the exact keyword, the invention expands it into groupings of concepts and phrases, where each such group represents one possible user intention (as implied by the query phrase or keyword). Each such grouping is analyzed to provide relevant content, including but not limited to, unstructured data like world wide web, categorized data and paid listings. The provided method can better capture user intentions even for cases where there is no click-through information.

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