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1. 发明申请

US20120116875A1 PROVIDING ADVERTISEMENTS BASED ON USER GROUPING 审中-公开
标题翻译：根据用户分组提供广告
公开(公告)号：US20120116875A1
公开(公告)日：2012-05-10
申请号：US12940436
申请日：2010-11-05
申请人： Gang Wang , Yajun Wang , Pinyan Lu , Zheng Chen
发明人： Gang Wang , Yajun Wang , Pinyan Lu , Zheng Chen
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0251 , G06Q30/0255
摘要： Techniques for providing advertisements in association with electronic content are provided. The advertisements may be provided with electronic content that satisfies a content request made by a particular individual. The advertisements provided in association with the electronic content may depend on the results of an auction between advertisers submitting bids to have their respective advertisements provided in association with the electronic content. The bids may be submitted with respect to different value groups. Each value group includes individuals that may provide an estimated amount of value to a respective advertiser as a customer.
摘要翻译：提供了与电子内容相关联地提供广告的技术。可以向广告提供满足由特定个人做出的内容请求的电子内容。与电子内容相关联地提供的广告可以取决于提交投标的广告商之间的拍卖的结果，以使其与电子内容相关联地提供其各自的广告。可以针对不同的价值组提交出价。每个价值组包括可以作为客户向相应广告商提供估计价值的个人。

2. 发明授权

US08589228B2 Click modeling for URL placements in query response pages 有权
标题翻译：点击查询响应页面中的网址展示位置的建模
公开(公告)号：US08589228B2
公开(公告)日：2013-11-19
申请号：US12795631
申请日：2010-06-07
申请人： Weizhu Chen , Gang Wang , Zheng Chen , Zhikai Fan , Thomas Minka
发明人： Weizhu Chen , Gang Wang , Zheng Chen , Zhikai Fan , Thomas Minka
IPC分类号： G06F15/18 , G06F17/60 , G06Q30/00 , G06N5/02
CPC分类号： G06Q30/02 , G06Q30/0255
摘要： A “General Click Model” (GCM) is constructed using a Bayesian network that is inherently capable of modeling “tail queries” by building the model on multiple attribute values that are shared across queries. More specifically, the GCM learns and predicts user click behavior towards URLs displayed on a query results page returned by a search engine. Unlike conventional click modeling approaches that learn models based on individual queries, the GCM learns click models from multiple attributes, with the influence of different attribute values being measured by Bayesian inference. This provides an advantage in learning that enables the GCM to achieve improved generalization and results, especially for tail queries, than conventional click models. In addition, most conventional click models consider only position and the identity of URLs when learning the model. In contrast, the GCM considers more session-specific attributes in making a final prediction for anticipated or expected user click behaviors.
摘要翻译：使用贝叶斯网络构建“通用点击模型”（GCM），该贝叶斯网络本质上能够通过在查询之间共享的多个属性值上建立模型来建模“尾部查询”。更具体地说，GCM学习并预测用户对搜索引擎返回的查询结果页面上显示的URL的点击行为。不同于传统的点击建模方法，基于个别查询的模型，GCM从多个属性学习点击模型，不同属性值的影响是通过贝叶斯推理来衡量的。这提供了学习的优势，使得GCM能够实现改进的泛化和结果，特别是尾部查询，而不是传统的点击模型。此外，大多数传统的点击模型只在学习模型时考虑URL的位置和身份。相比之下，GCM考虑更多的会话特定属性来对预期或预期的用户点击行为进行最终预测。

3. 发明授权

US08412665B2 Action prediction and identification temporal user behavior 有权
标题翻译：行动预测和识别临时用户行为
公开(公告)号：US08412665B2
公开(公告)日：2013-04-02
申请号：US12947871
申请日：2010-11-17
申请人： Gang Wang , Weizhu Chen , Zheng Chen , Zhikai Fan
发明人： Gang Wang , Weizhu Chen , Zheng Chen , Zhikai Fan
IPC分类号： G06F9/44 , G06N7/02 , G06N7/06
CPC分类号： G06N5/02 , G06F17/30693 , G06N5/043 , G06Q30/00 , G06Q30/0202
摘要： User behavior modeling can include determining temporal- or time-based actions performed by various users. From the mined temporal-based user actions, future actions can be predicted. Certain implementations include providing information and/or services based on the predicted future actions. Some implementations, include providing relevant information, services, and/or goods regarding the predicted future action.
摘要翻译：用户行为建模可以包括确定由各种用户执行的时间或时间的动作。从开采的基于时间的用户操作，可以预测未来的行动。某些实施方式包括基于预测的未来行动来提供信息和/或服务。一些实施方式包括提供有关预测未来行动的相关信息，服务和/或商品。

4. 发明申请

US20120143790A1 RELEVANCE OF SEARCH RESULTS DETERMINED FROM USER CLICKS AND POST-CLICK USER BEHAVIOR OBTAINED FROM CLICK LOGS 审中-公开
标题翻译：从用户点击确定的搜索结果的相关性和点击记录获得的点击后用户行为
公开(公告)号：US20120143790A1
公开(公告)日：2012-06-07
申请号：US12957692
申请日：2010-12-01
申请人： Gang Wang , Weizhu Chen , Zheng Chen
发明人： Gang Wang , Weizhu Chen , Zheng Chen
IPC分类号： G06N5/02 , G06F15/18
CPC分类号： G06N7/005 , G06F16/951
摘要： Data from a click log may be used to generate training data for a search engine. User click behavior and user post-click behavior may be used to assess the relevance of a page to a query. Labels for training data may be generated based on data from the click log. The labels may pertain to the relevance of a page to a query. For example, user post-click behavior that may be examined includes the amount of time that a user remains on a target page when a user clicks one of the search results.
摘要翻译：来自点击日志的数据可用于生成搜索引擎的训练数据。用户单击行为和用户点击后行为可用于评估页面与查询的相关性。可以根据点击日志的数据生成训练数据的标签。标签可能与页面与查询的相关性有关。例如，可以检查的用户点击后行为包括当用户单击其中一个搜索结果时用户保留在目标页面上的时间量。

5. 发明申请

US20110208715A1 AUTOMATICALLY MINING INTENTS OF A GROUP OF QUERIES 审中-公开
标题翻译：一组查询的自动采矿意图
公开(公告)号：US20110208715A1
公开(公告)日：2011-08-25
申请号：US12710973
申请日：2010-02-23
申请人： Xiaochuan Ni , Jian-Tao Sun , Gang Wang , Zheng Chen
发明人： Xiaochuan Ni , Jian-Tao Sun , Gang Wang , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F16/9535 , G06F16/332
摘要： The automatic search intent mining technique described herein pertains to a technique for mining search intent from a group of queries. The automatic search intent mining technique described herein automatically mines search intents from a group of queries. The technique leverages knowledge of query log data in order to determine search intent. The automatic search intent mining technique, in one embodiment, utilizes three kinds of information sources: Web page content, Web page structure and search engine query log data to mine intents for a group of queries. In one embodiment of the technique, the three data sources are used separately to mine candidate search intents for each of the three sources. The candidate search intents extracted from each of the three sources are then integrated to form the final search intents.
摘要翻译：本文描述的自动搜索意图挖掘技术涉及用于从一组查询挖掘搜索意图的技术。本文所述的自动搜索意图挖掘技术自动从一组查询中挖掘搜索意图。该技术利用查询日志数据的知识来确定搜索意图。在一个实施例中，自动搜索意图挖掘技术利用三种信息源：网页内容，网页结构和搜索引擎查询日志数据到一组查询的挖掘意图。在该技术的一个实施例中，三个数据源分别用于挖掘三个源中的每一个的候选搜索意图。然后将从三个源中的每一个提取的候选搜索意图集成以形成最终搜索意图。

6. 发明申请

US20110078157A1 OPINION SEARCH ENGINE 有权
标题翻译：意见搜索引擎
公开(公告)号：US20110078157A1
公开(公告)日：2011-03-31
申请号：US12568702
申请日：2009-09-29
申请人： Jian-Tao Sun , Xiaochuan Ni , Peng Xu , Gang Wang , Ke Tang , Zheng Chen
发明人： Jian-Tao Sun , Xiaochuan Ni , Peng Xu , Gang Wang , Ke Tang , Zheng Chen
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06Q30/02 , G06F17/2785 , G06F17/30616 , G06F17/3071 , G06F17/30722 , G06F17/30867
摘要： A computer-readable storage medium having stored thereon computer-executable instructions which, when executed by a computer, cause the computer to implement an opinion search engine. The instructions to implement an opinion search engine cause the computer to collect opinion data about one or more objects from the Internet, extract metadata about the opinion data from the opinion data, remove duplicate metadata from the metadata to generate a resulting metadata, categorize the resulting metadata for similar objects according to one or more taxonomies from one or more websites on the Internet and rank the similar objects based on the categorized metadata.
摘要翻译：一种其上存储有计算机可执行指令的计算机可读存储介质，其在由计算机执行时使计算机实现意见搜索引擎。实施意见搜索引擎的说明导致计算机从互联网收集关于一个或多个对象的意见数据，从意见数据中提取关于意见数据的元数据，从元数据中移除重复的元数据以生成结果元数据，根据来自互联网上的一个或多个网站的一个或多个分类法的类似对象的元数据，并且基于分类的元数据对相似的对象进行排序。

7. 发明授权

US09430521B2 Query expansion through searching content identifiers 有权
标题翻译：通过搜索内容标识符查询扩展
公开(公告)号：US09430521B2
公开(公告)日：2016-08-30
申请号：US12570948
申请日：2009-09-30
申请人： Zheng Chen , Gang Wang , Jian-Tao Sun , Xiaochuan Ni
发明人： Zheng Chen , Gang Wang , Jian-Tao Sun , Xiaochuan Ni
IPC分类号： G06F17/30
CPC分类号： G06F17/30392 , G06F17/30572
摘要： Techniques and technologies for expanding a gallery by seeding the gallery with seed query results. A template is identified which is associated with the subjects of the seed queries and content identifiers are identified which include the template. These content identifiers are used to expand the gallery to include more content identifiers than before the expansion of the gallery.
摘要翻译：通过种子查询结果种植画廊来扩大画廊的技术和技术。识别与种子查询的主题相关联的模板，并且识别包括模板的内容标识符。这些内容标识符用于展开图库以包括比展开图库之前更多的内容标识符。

8. 发明申请

US20120143789A1 CLICK MODEL THAT ACCOUNTS FOR A USER'S INTENT WHEN PLACING A QUIERY IN A SEARCH ENGINE 审中-公开
标题翻译：在搜索引擎中放置校园时，用户的信息的点击模式
公开(公告)号：US20120143789A1
公开(公告)日：2012-06-07
申请号：US12957521
申请日：2010-12-01
申请人： Gang Wang , Weizhu Chen , Zheng Chen
发明人： Gang Wang , Weizhu Chen , Zheng Chen
IPC分类号： G06F17/30 , G06F15/18 , G06N5/02
CPC分类号： G06F16/951
摘要： A method of generating training data for a search engine begins by retrieving log data pertaining to user click behavior. The log data is analyzed based on a click model that includes a parameter pertaining to a user intent bias representing the intent of a user in performing a search in order to determine a relevance of each of a plurality of pages to a query. The relevance of the pages is then converted into training data.
摘要翻译：生成搜索引擎的训练数据的方法从检索与用户点击行为有关的日志数据开始。基于点击模型分析日志数据，所述点击模型包括与用户意图偏差相关的参数，所述参数表示用户执行搜索的意图，以便确定多个页面中的每一个与查询的相关性。然后将页面的相关性转换为训练数据。

9. 发明申请

US20110078193A1 QUERY EXPANSION THROUGH SEARCHING CONTENT IDENTIFIERS 有权
标题翻译：通过搜索内容标识符查询扩展
公开(公告)号：US20110078193A1
公开(公告)日：2011-03-31
申请号：US12570948
申请日：2009-09-30
申请人： Zheng Chen , Gang Wang , Jian-Tao Sun , Xiaochuan Ni
发明人： Zheng Chen , Gang Wang , Jian-Tao Sun , Xiaochuan Ni
IPC分类号： G06F17/30
CPC分类号： G06F17/30392 , G06F17/30572
摘要： Techniques and technologies for expanding a gallery by seeding the gallery with seed query results. A template is identified which is associated with the subjects of the seed queries and content identifiers are identified which include the template. These content identifiers are used to expand the gallery to include more content identifiers than before the expansion of the gallery.
摘要翻译：通过种子查询结果种植画廊来扩大画廊的技术和技术。识别与种子查询的主题相关联的模板，并且识别包括模板的内容标识符。这些内容标识符用于展开图库以包括比展开图库之前更多的内容标识符。

10. 发明申请

US20100191746A1 Competitor Analysis to Facilitate Keyword Bidding 审中-公开
标题翻译：竞争对手分析促进关键字出价
公开(公告)号：US20100191746A1
公开(公告)日：2010-07-29
申请号：US12360096
申请日：2009-01-26
申请人： Gang Wang , Jian Hu , Hua Li , Zheng Chen
发明人： Gang Wang , Jian Hu , Hua Li , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： Disclosed herein are one or more embodiments that facilitate selection of keywords for bidding by an advertiser having a website. One or more of the disclosed embodiments may process a click-through log to determine measures of competitiveness for a plurality of websites extracted from the click-through log. Also, the one or more disclosed embodiments may, for one of the websites, determine a ranking of competing websites based at least in part on the measures of competitiveness. The ranking of competing websites may be used to facilitate selection of keywords for bidding.
摘要翻译：这里公开的是一个或多个实施例，其有助于选择具有网站的广告商进行投标的关键字。所公开的实施例中的一个或多个可以处理点击日志以确定从点击日志提取的多个网站的竞争力的度量。此外，一个或多个公开的实施例可以针对一个网站，至少部分地基于竞争力的度量来确定竞争网站的排名。竞争网站的排名可能用于促进选择出价的关键字。

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