公开(公告)号：US20080288491A1

公开(公告)日：2008-11-20

申请号：US11803503

申请日：2007-05-15

申请人： Min Wu ,  Chenxi Lin ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Min Wu ,  Chenxi Lin ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/30

CPC分类号： G06Q30/02 ,  G06F17/30867

摘要： Described is a behavioral targeting technology for online advertising, by which an original attribute is uniformly expanded. Users that meet an original attribute are aggregated into a mid-result used to determine similarity relative to candidate attribute types. The most similar candidate attributes are selected for the expanded attribute. A URL/URL pattern suggestion technology is provided, with similarity computed from users/URLs visited by the users. URLs are separated into URL tree nodes, for calculating the number of users who have visited each URL and the number of users who have visited the URL on a sub-tree whose root is the node. URL/URL patterns are output based on similarity. Domains are also suggested based on user-visits. Similarities between pairs of domains may be computed (e.g., offline), with an output for a given domain provided in based on its similarity with each other domain.

摘要翻译： 描述了一种用于在线广告的行为定位技术，通过该技术，原始属性被均匀地扩展。 满足原始属性的用户将聚合成中间结果，用于确定与候选属性类型相似度。 为扩展属性选择最相似的候选属性。 提供URL / URL模式建议技术，从用户访问的用户/ URL计算相似度。 URL被分隔成URL树节点，用于计算访问每个URL的用户数和在其根是节点的子树上访问过URL的用户数。 基于相似性输出URL / URL模式。 还可以根据用户访问建议域。 可以基于其与每个其他域的相似性来计算（例如，脱机）对域之间的相似性，其中提供给定域的输出。

公开(公告)号：US20080288483A1

公开(公告)日：2008-11-20

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： 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：US20080288481A1

公开(公告)日：2008-11-20

申请号：US11803462

申请日：2007-05-15

申请人： Huajun Zeng ,  Chenxi Lin ,  Dingyi Han ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Huajun Zeng ,  Chenxi Lin ,  Dingyi Han ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/30

CPC分类号： G06Q30/02

摘要： Described is a technology by which online advertisements for returning with a query response are ranked according to reputation. The reputation may correspond to a product or service and/or seller reputation. In one example, a set of relevant advertisement items are located and ranked using reputation data as a factor. For example, for each item, a ranking value is based on a mathematical combination of a product reputation score, a seller reputation score and a relevance score, with the items ranked by their computed values. The scores may be weighted differently. The reputation data may be mined from a review source, such as customer reviews available on the web. In one example implementation, a 3-gram model that considers terms in the review along with the two terms proceeding each term is used to analyze the reviews to determine whether each review is positive or negative with respect to the reputation.

摘要翻译： 描述了一种技术，通过这种技术，根据信誉对用于返回查询响应的在线广告进行排名。 声誉可能对应于产品或服务和/或卖方声誉。 在一个示例中，使用信誉数据作为因素来定位和排列一组相关广告项目。 例如，对于每个项目，排序值基于产品信誉评分，卖方信誉评分和相关性分数的数学组合，其中项目按其计算值排列。 得分的加权方式可能不同。 信誉数据可以从审查来源开采，例如网络上可用的客户评价。 在一个示例实施中，使用考虑审查中的术语的3克模型以及每个术语进行的两个术语进行分析，以确定每个评论对于声誉是否为正或负。

公开(公告)号：US20080208840A1

公开(公告)日：2008-08-28

申请号：US11859461

申请日：2007-09-21

申请人： Benyu Zhang ,  Jilin Chen ,  Zheng Chen ,  HuaJun Zeng ,  Jian Wang

发明人： Benyu Zhang ,  Jilin Chen ,  Zheng Chen ,  HuaJun Zeng ,  Jian Wang

IPC分类号： G06F7/10

CPC分类号： G06F17/2745 ,  G06F17/278

摘要： Systems and methods for implementing diverse topic phrase extraction are disclosed. According to one implementation, multiple word candidate phrases are extracted from a corpus and weighed. One or more documents are re-weighed to identify less obvious candidate topics using latent semantic analysis (LSA). Phrase diversification is then used to remove redundancy and select informative and distinct topic phrases.

摘要翻译： 公开了实现不同主题短语提取的系统和方法。 根据一个实现，从语料库中提取多个单词候选词组并称重。 使用潜在语义分析（LSA），重新衡量一个或多个文档以识别较不明显的候选主题。 然后使用短语多样化来消除冗余并选择信息丰富且不同的主题短语。

公开(公告)号：US20070239792A1

公开(公告)日：2007-10-11

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：US20070239712A1

公开(公告)日：2007-10-11

申请号：US11392760

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： G06F17/30112 ,  G06F17/3012 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99937 ,  Y10S707/99938

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：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：US20150248698A1

公开(公告)日：2015-09-03

申请号：US13006935

申请日：2011-01-14

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： G06Q30/02 ,  G06F17/30

CPC分类号： G06Q30/0256 ,  G06F16/9535 ,  G06Q30/0275 ,  G06Q30/0277

摘要： Information regarding display of selected content items in assigned slots is provided. The information is based on a selected template that includes areas for groups of slots for related content items, such as content items that are targeted to a common targeting object. Candidate content items, identified based on targeting or other distribution information, are assigned to selected slots to determine at least part of the information regarding display of the selected content items.

摘要翻译： 提供关于在分配的时隙中显示所选内容项的信息。 该信息基于所选择的模板，该模板包括用于相关内容项目的时隙组的区域，诸如针对公共目标对象的内容项目。 基于目标或其他分发信息识别的候选内容项目被分配给所选择的时隙以确定关于所选内容项目的显示的信息的至少一部分。

公开(公告)号：US08631030B1

公开(公告)日：2014-01-14

申请号：US12979639

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： G06F17/30973 ,  G06F17/30864 ,  G06Q30/0251

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 a first additional query and a second diverse additional query, 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 associated additional query to be displayed at a client device 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，包括选择第一附加查询和第二多样化附加查询，识别每个附加查询的一个或多个内容项， 形成内容块的一个或多个内容项，以及提供要在客户机设备上显示的内容块和相关联的附加查询以及与初始查询相关联的搜索结果。