公开(公告)号：US09390139B1

公开(公告)日：2016-07-12

申请号：US12981211

申请日：2010-12-29

申请人： Rajat Bhattacharjee ,  Aranyak Mehta ,  Benyu Zhang ,  Vivek Raghunathan

发明人： Rajat Bhattacharjee ,  Aranyak Mehta ,  Benyu Zhang ,  Vivek Raghunathan

IPC分类号： G06F17/30

CPC分类号： G06F17/3053

摘要： Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enhancing selecting relevant and diverse advertisements. In one aspect, a method includes receiving an initial query, selecting one or more additional queries relating to the initial query, including selecting additional queries having a greatest commerciality, identifying one or more content items for each of the additional queries, the one or more content items forming a content block, and providing a content block and an associated additional query to a client device to be displayed along with search results associated with the initial query.

摘要翻译： 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于增强选择相关和多样化的广告。 一方面，一种方法包括接收初始查询，选择与初始查询相关的一个或多个附加查询，包括选择具有最大商业性的附加查询，识别每个附加查询的一个或多个内容项，所述一个或多个 形成内容块的内容项，以及向与所述初始查询相关联的搜索结果一起显示的客户端设备提供内容块和相关联的附加查询。

公开(公告)号：US08548981B1

公开(公告)日：2013-10-01

申请号：US12979688

申请日：2010-12-28

申请人： Rajat Bhattacharjee ,  Aranyak Mehta ,  Benyu Zhang ,  Vivek Raghunathan

发明人： Rajat Bhattacharjee ,  Aranyak Mehta ,  Benyu Zhang ,  Vivek Raghunathan

IPC分类号： G06F17/30

CPC分类号： G06F17/3064 ,  G06F17/30648 ,  G06F17/30864

摘要： Methods, including computer programs encoded on a computer storage medium, for enhancing selecting of relevant and diverse advertisements by selecting additional queries relating to an initial query, and by filtering additional queries and their associated advertisements.

摘要翻译： 方法，包括在计算机存储介质上编码的计算机程序，用于通过选择与初始查询相关的附加查询以及通过过滤附加查询及其相关联的广告来增强对相关和多样化广告的选择。

公开(公告)号：US08417568B2

公开(公告)日：2013-04-09

申请号：US11355634

申请日：2006-02-15

申请人： Shuzhen Nong ,  Ying Li ,  Tarek Najm ,  Li Li ,  Zheng Chen ,  Hua-Jun Zeng ,  Benyu Zhang ,  Yin Li ,  Dean Carignan ,  Ying-Qing Xu

发明人： Shuzhen Nong ,  Ying Li ,  Tarek Najm ,  Li Li ,  Zheng Chen ,  Hua-Jun Zeng ,  Benyu Zhang ,  Yin Li ,  Dean Carignan ,  Ying-Qing Xu

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02

摘要： According to embodiments of the invention, an advertisement-generation system generates image-containing advertisements. The advertisement-generation system includes: at least one feature-selection guideline that specifies at least one recommended feature for image-containing advertisements based on advertiser inputs that specify at least one of advertisement-target-audience information, cost information, and advertiser-industry information; an image-clip library from which images are selected for inclusion in the image-containing advertisements; and at least one advertisement template that is based on the at least one feature-selection guideline; wherein the system automatically generates image-containing advertisements that contain one or more suggested colors that are automatically suggested based on one or more colors present on a web page that will host the image-containing advertisement.

摘要翻译： 根据本发明的实施例，广告生成系统生成包含图像的广告。 广告生成系统包括：至少一个特征选择指南，其基于广告商输入指定至少一个推荐的用于图像的广告的特征，其指定广告目标受众信息，成本信息和广告商行业中的至少一个 信息; 选择图像以包含在包含图像的广告中的图像剪辑库; 以及至少一个基于所述至少一个特征选择指南的广告模板; 其中所述系统自动生成包含一个或多个建议的颜色的图像包含广告，所述一个或多个建议的颜色是基于存在于将承载含图像的广告的网页上的一种或多种颜色而自动建议的。

公开(公告)号：US07925644B2

公开(公告)日：2011-04-12

申请号：US12038652

申请日：2008-02-27

申请人： Chenxi Lin ,  Lei Ji ,  HuaJun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Chenxi Lin ,  Lei Ji ,  HuaJun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F17/30675 ,  G06Q10/10

摘要： A method and system for use in information retrieval includes, for each of a plurality of terms, selecting a predetermined number of top scoring documents for the term to form a corresponding document set for the term. When a plurality of terms are received, optionally as a query, the system ranks, using an inverse document frequency algorithm, the plurality of terms for importance based on the document sets for the plurality of terms. Then a number of ranked terms are selected based on importance and a union set is formed based on the document sets associated with the selected number of ranked terms.

摘要翻译： 用于信息检索的方法和系统包括对于多个术语中的每一个，为术语选择预定数量的最高评分文档以形成用于该术语的相应文档集合。 当接收到多个术语时，可选地作为查询，系统使用逆文档频率算法基于多个术语的文档集来排列多个重要术语。 然后，基于重要性选择多个排名项，并且基于与所选择的排序项数相关联的文档集合形成联合集合。

公开(公告)号：US07849089B2

公开(公告)日：2010-12-07

申请号：US12616739

申请日：2009-11-11

申请人： Benyu Zhang ,  Gui-Rong Xue ,  Hua-Jun Zeng ,  Wei-Ying Ma ,  Xue-Mei Jiang ,  Zheng Chen

发明人： Benyu Zhang ,  Gui-Rong Xue ,  Hua-Jun Zeng ,  Wei-Ying Ma ,  Xue-Mei Jiang ,  Zheng Chen

IPC分类号： G06F7/00 ,  G10L15/00

CPC分类号： G06F17/30882 ,  G06F17/30867 ,  Y10S707/99935

摘要： A method and system for adapting search results of a query to the information needs of the user submitting the query is provided. A search system analyzes click-through triplets indicating that a user submitted a query and that the user selected a document from the results of the query. To overcome the large size and sparseness of the click-through data, the search system when presented with an input triplet comprising a user, a query, and a document determines a probability that the user will find the input document important by smoothing the click-through triplets. The search system then orders documents of the result based on the probability of their importance to the input user.

摘要翻译： 提供了一种用于将查询的搜索结果适应于提交查询的用户的信息需求的方法和系统。 搜索系统分析点击三胞胎，指示用户提交了查询，并且用户从查询的结果中选择了文档。 为了克服点击数据的大尺寸和稀疏性，当呈现包括用户，查询和文档的输入三元组时，搜索系统确定用户将通过平滑点击数据来重新找到输入文档的概率， 通过三胞胎。 然后，搜索系统基于其对输入用户的重要性的概率来订购结果的文档。

公开(公告)号：US07844449B2

公开(公告)日：2010-11-30

申请号：US11392763

申请日：2006-03-30

申请人： Chenxi Lin ,  Jie Han ,  Guirong Xue ,  Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Chenxi Lin ,  Jie Han ,  Guirong Xue ,  Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/27

CPC分类号： G06F17/2785

摘要： A scalable two-pass scalable probabilistic latent semantic analysis (PLSA) methodology is disclosed that may perform more efficiently, and in some cases more accurately, than traditional PLSA, especially where large and/or sparse data sets are provided for analysis. The improved methodology can greatly reduce the storage and/or computational costs of training a PLSA model. In the first pass of the two-pass methodology, objects are clustered into groups, and PLSA is performed on the groups instead of the original individual objects. In the second pass, the conditional probability of a latent class, given an object, is obtained. This may be done by extending the training results of the first pass. During the second pass, the most likely latent classes for each object are identified.

摘要翻译： 公开了一种可扩展的双向可伸缩概率潜在语义分析（PLSA）方法，其可以比传统的PLSA更有效地执行，在某些情况下可以更准确地执行，特别是在提供大型和/或稀疏数据集用于分析的情况下。 改进的方法可以大大降低培训PLSA模型的存储和/或计算成本。 在双路方法的第一遍中，对象被聚集成组，并且PLSA在组而不是原始的单个对象上执行。 在第二遍中，获得给定对象的潜在类的条件概率。 这可以通过扩展第一遍的训练结果来完成。 在第二遍期间，识别每个对象最可能的潜在类。

公开(公告)号：US07822752B2

公开(公告)日：2010-10-26

申请号：US11804627

申请日：2007-05-18

申请人： Chenxi Lin ,  Lei Ji ,  Huajun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Chenxi Lin ,  Lei Ji ,  Huajun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30675

摘要： Described is an efficient retrieval mechanism that quickly locates documents (e.g., corresponding to online advertisements) based on query term discrimination. A topmost subset (e.g., two) of search terms is selected according to their ranked importance, e.g., as ranked by inverted document frequency. The topmost terms are then used to narrow the number of rows of an inverted query index that are searched to find document identifiers and associated scores, such as computed offline by a BM25 algorithm. For example, for each document identifier of each important term, a fast search within each of the narrowed subset of rows (that also contain that document identifier) may be performed by comparing document identifiers to jump a pointer within each other row, followed by a binary search to locate a particular document. The scores of the set of particular documents may then be used to rank their relative importance for returning as results.

摘要翻译： 描述了一种有效的检索机制，其基于查询词辨别快速定位文档（例如，对应于在线广告）。 根据其排序的重要性来选择搜索项的最顶层子集（例如，两个），例如按照倒排的文档频率排序。 然后使用最上面的术语来缩小被搜索以查找文档标识符和相关分数的反向查询索引的行数，例如通过BM25算法离线计算。 例如，对于每个重要术语的每个文档标识符，可以通过比较文档标识符来跳过每个其他行中的指针，然后是一个指针，来执行每个狭窄的行子集（也包含该文档标识符）的快速搜索 二进制搜索查找特定文档。 然后可以使用该组特定文件的分数来排列其作为结果返回的相对重要性。

公开(公告)号：US07693908B2

公开(公告)日：2010-04-06

申请号：US11770358

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：US07685099B2

公开(公告)日：2010-03-23

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： 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：US20100057798A1

公开(公告)日：2010-03-04

申请号：US12616739

申请日：2009-11-11

申请人： Benyu Zhang ,  Gui-Rong Xue ,  Hua-Jun Zeng ,  Wei-Ying Ma ,  Xue-Mei Jiang ,  Zheng Chen

发明人： Benyu Zhang ,  Gui-Rong Xue ,  Hua-Jun Zeng ,  Wei-Ying Ma ,  Xue-Mei Jiang ,  Zheng Chen

IPC分类号： G06F17/30

CPC分类号： G06F17/30882 ,  G06F17/30867 ,  Y10S707/99935

摘要： A method and system for adapting search results of a query to the information needs of the user submitting the query is provided. A search system analyzes click-through triplets indicating that a user submitted a query and that the user selected a document from the results of the query. To overcome the large size and sparseness of the click-through data, the search system when presented with an input triplet comprising a user, a query, and a document determines a probability that the user will find the input document important by smoothing the click-through triplets. The search system then orders documents of the result based on the probability of their importance to the input user.

摘要翻译： 提供了一种用于将查询的搜索结果适应于提交查询的用户的信息需求的方法和系统。 搜索系统分析点击三胞胎，指示用户提交了查询，并且用户从查询的结果中选择了文档。 为了克服点击数据的大尺寸和稀疏性，搜索系统当呈现包括用户，查询和文档的输入三元组时，确定用户将通过平滑点击数据来重新找到输入文档的概率， 通过三胞胎。 然后，搜索系统基于其对输入用户的重要性的概率来订购结果的文档。