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    • 1. 发明授权
    • Adaptive targeting for finding look-alike users
    • 适应性定位,以寻找类似的用户
    • US09087332B2
    • 2015-07-21
    • US12871775
    • 2010-08-30
    • Abraham BagherjeiranRenjie TangZengvan ZhangAndrew HatchAdwait RatnaparkhiRalesh Parekh
    • Abraham BagherjeiranRenjie TangZengvan ZhangAndrew HatchAdwait RatnaparkhiRalesh Parekh
    • G06Q30/00G06Q30/02
    • G06Q30/00G06Q30/0251G06Q30/0255G06Q30/0269
    • A method for adaptive display of internet advertisements to look-alike users using a desired user profile dataset as a seed to machine learning modules. Upon availability of a desired user profile, that user profile is mapped other look-alike users (from a larger database of users). The method proceeds to normalize the desired user profile object, proceeds to normalize known user profile objects, then seeding a machine-learning training model with the normalized desired user profile object. A scoring engine uses the normalized user profiles for matching based on extracted features (i.e. extracted from the normalized user profile objects). Once look-alike users have been identified, the internet display system may serve advertisements to the look-alike users, and analyze look-alike users' behaviors for storing the predicted similar user profile objects into the desired user profile object dataset, thus adapting to changing user behavior.
    • 一种用于使用期望的用户简档数据集作为种子加工学习模块来将互联网广告自适应地显示为类似用户的方法。 在可获得期望的用户简档之后,该用户简档被映射到其他外观用户(来自较大的用户数据库)。 该方法继续使所需的用户简档对象规范化,继续归一化已知的用户简档对象,然后使用归一化的所需用户简档对象播放机器学习训练模型。 评分引擎使用归一化的用户简档来基于提取的特征进行匹配(即从归一化的用户简档对象中提取)。 一旦看起来相似的用户已经被识别,互联网显示系统可以向类似用户提供广告,并且分析类似用户的行为以将预测的类似用户简档对象存储到期望的用户简档对象数据集中,从而适应于 改变用户行为。
    • 2. 发明申请
    • Adaptive Targeting for Finding Look-Alike Users
    • 适应性目标寻找类似用户
    • US20120054040A1
    • 2012-03-01
    • US12871775
    • 2010-08-30
    • Abraham BagherjeiranRenjie TangZengvan ZhangAndrew HatchAdwait RatnaparkhiRalesh Parekh
    • Abraham BagherjeiranRenjie TangZengvan ZhangAndrew HatchAdwait RatnaparkhiRalesh Parekh
    • G06Q30/00G06F15/18
    • G06Q30/00G06Q30/0251G06Q30/0255G06Q30/0269
    • A method for adaptive display of internet advertisements to look-alike users using a desired user profile dataset as a seed to machine learning modules. Upon availability of a desired user profile, that user profile is mapped other look-alike users (from a larger database of users). The method proceeds to normalize the desired user profile object, proceeds to normalize known user profile objects, then seeding a machine-learning training model with the normalized desired user profile object. A scoring engine uses the normalized user profiles for matching based on extracted features (i.e. extracted from the normalized user profile objects). Once look-alike users have been identified, the internet display system may serve advertisements to the look-alike users, and analyze look-alike users' behaviors for storing the predicted similar user profile objects into the desired user profile object dataset, thus adapting to changing user behavior.
    • 一种用于使用期望的用户简档数据集作为种子加工学习模块来将互联网广告自适应地显示为类似用户的方法。 在可获得期望的用户简档之后,该用户简档被映射到其他外观用户(来自较大的用户数据库)。 该方法继续使所需的用户简档对象规范化,继续归一化已知的用户简档对象,然后使用归一化的所需用户简档对象播放机器学习训练模型。 评分引擎使用归一化的用户简档来基于提取的特征进行匹配(即从归一化的用户简档对象中提取)。 一旦看起来相似的用户已经被识别,互联网显示系统可以向类似用户提供广告,并且分析类似用户的行为以将预测的类似用户简档对象存储到期望的用户简档对象数据集中,从而适应 改变用户行为。
    • 3. 发明申请
    • Finding Predictive Cross-Category Search Queries for Behavioral Targeting
    • 查找行为定位的预测跨类别搜索查询
    • US20110264513A1
    • 2011-10-27
    • US12766279
    • 2010-04-23
    • Adwait Ratnaparkhi
    • Adwait Ratnaparkhi
    • G06Q30/00
    • G06Q30/02G06Q30/0246
    • A method and apparatus for finding predictive cross-category search queries for behavioral targeting in a networked online display advertising system. The methods include aggregating a training model dataset, the training model dataset comprising a history of clicks corresponding to historical advertisements. The training model dataset also contains plurality of targeting categories related to the history of clicks. Various techniques are disclosed for selecting a plurality of features from the training model dataset and calculating a click probability for a subject advertisement to be clicked by a user from a page, the calculating operations using features of the page that is to be presented to the user. Embodiments include mapping a particular query to one of the targeting categories and then presenting the subject advertisement selected on the basis of the value of the click probability. Normalization scales down the value of the click probabilities to filter out false positive categories.
    • 一种用于在联网的在线显示广告系统中找到用于行为定位的预测性跨类别搜索查询的方法和装置。 这些方法包括聚合训练模型数据集,训练模型数据集包括与历史广告相对应的点击历史。 培训模型数据集还包含与点击历史相关的多个定位类别。 公开了用于从训练模型数据集中选择多个特征并计算用户从页面点击的对象广告的点击概率的各种技术,使用要呈现给用户的页面的特征的计算操作 。 实施例包括将特定查询映射到目标类别之一,然后基于点击概率的值呈现所选择的主题广告。 规范化可以缩小点击概率的值,以过滤掉假阳性类别。
    • 4. 发明申请
    • Sensitivity Categorization of Web Pages
    • 网页灵敏度分类
    • US20110184817A1
    • 2011-07-28
    • US12696006
    • 2010-01-28
    • Dragomir YankovSuju RajanScott J. GaffneyDun LiuWanlin PangAdwait Ratnaparkhi
    • Dragomir YankovSuju RajanScott J. GaffneyDun LiuWanlin PangAdwait Ratnaparkhi
    • G06Q30/00G06F17/30G06F17/00G06F15/18
    • G06Q30/02G06Q30/0277
    • Methods, systems, and computer programs for categorizing the sensitivity of web pages are presented. In one method, a space of sensitive pages is identified based on the sensitivity categorization of a first plurality of web pages and a second plurality of web pages. The first plurality of web pages is obtained by performing search queries using known sensitive words, and the second plurality of web pages includes randomly selected web pages. Additionally, the method identifies a third plurality of web pages that includes web pages on or near the boundary between the space of sensitive pages and the space of non-sensitive pages. The space of sensitive pages is then redefined based on the sensitivity categorization of the first, second, and third pluralities of web pages. Once the space of sensitive pages is defined, the method is used to determine that a given web page is sensitive when the given web page is in the space of sensitive pages. Web pages are included in a marketing operation when the web pages are not sensitive.
    • 介绍了分类网页敏感度的方法,系统和计算机程序。 在一种方法中,基于第一多个网页和第二多个网页的灵敏度分类来识别敏感页面的空间。 通过使用已知敏感词执行搜索查询获得第一多个网页,并且第二多个网页包括随机选择的网页。 此外,该方法识别在敏感页面的空间和非敏感页面的空间之间的边界上或附近包括网页的第三多个网页。 然后,基于第一,第二和第三多个网页的灵敏度分类,重新定义敏感页面的空间。 一旦定义了敏感页面的空间,当给定的网页位于敏感页面的空间中时,该方法用于确定给定的网页是否敏感。 当网页不敏感时,网页被包含在营销操作中。
    • 5. 发明授权
    • Contextual advertising with user features
    • 具有用户功能的内容相关广告
    • US09031863B2
    • 2015-05-12
    • US12806802
    • 2010-08-19
    • Abraham H. BagherjeiranAndrew O. HatchAdwait RatnaparkhiAmruta S. Joshi
    • Abraham H. BagherjeiranAndrew O. HatchAdwait RatnaparkhiAmruta S. Joshi
    • G06Q30/00G06Q30/02
    • G06Q30/02G06Q30/0251G06Q30/0255G06Q30/0256G06Q30/0269
    • Disclosed are apparatus and methods for facilitating contextual selection of advertisements for displaying online via a computer network. In general, user features in the form of text are provided in conjunction with web page content for contextual advertisement matching. In one embodiment, a request for an advertisement to be displayed in a current web page that has been requested by a current user is received. The current user is associated with one or more current user characteristics from a plurality of different user characteristics, and the current web page has an associated content. A mapping model and the one or more current user characteristics are used to obtain a plurality of user-relevant terms for each of the one or more current user characteristics. A combination of the content of the current web page and obtained user-relevant terms are provided for selecting an advertisement for displaying with the current web page based on such combination.
    • 公开了一种用于促进通过计算机网络在线显示的广告的上下文选择的装置和方法。 通常,文本形式的用户特征与用于上下文广告匹配的网页内容一起提供。 在一个实施例中,接收在当前用户请求的当前网页中显示广告的请求。 当前用户与来自多个不同用户特征的一个或多个当前用户特征相关联,并且当前网页具有相关联的内容。 使用映射模型和一个或多个当前用户特征来为一个或多个当前用户特征中的每一个获得多个用户相关项。 提供当前网页的内容和获得的用户相关术语的组合,用于基于这样的组合来选择用于与当前网页一起显示的广告。
    • 6. 发明授权
    • Performant relevance improvements in search query results
    • 搜索查询结果中的性能相关性改进
    • US07529736B2
    • 2009-05-05
    • US11123277
    • 2005-05-06
    • Sanjeev KatariyaQi YaoJun LiuAdwait RatnaparkhiBradley R. Green
    • Sanjeev KatariyaQi YaoJun LiuAdwait RatnaparkhiBradley R. Green
    • G06F17/30
    • G06F17/30864Y10S707/99932Y10S707/99933
    • Property store information and an aggregation of a plurality of ranking mechanisms, including a learning mechanism, are leveraged to provide performant query results with increased user relevancy. The learning mechanism permits query feedback to be accepted to facilitate in optimizing user relevance. This mechanism can also be incorporated with traditional Information Retrieval (IR) components, each supplying independent ranking to a relevance aggregation function that determines relevancy at a high level. This precludes diminishing the value of query feedback that occurs when the data is fed into traditional IR algorithms. By allowing the query feedback to maintain its proper weighting and utilizing scope and bias capabilities of the property store information, relevance increases in a highly performant manner.
    • 利用属性存储信息和包括学习机制在内的多个排名机制的聚合来提供具有增加的用户相关性的性能查询结果。 学习机制允许接受查询反馈以便于优化用户相关性。 这种机制还可以与传统的信息检索(IR)组件相结合,每个组件都提供独立排名,以确定相关性聚合功能,从而确定高水平的相关性。 这排除了当将数据馈送到传统IR算法时发生的查询反馈的值的减少。 通过允许查询反馈来维持其适当的权重并利用属性存储信息的范围和偏差能力,相关性以高性能的方式增加。
    • 7. 发明申请
    • Voice-based phone system user interface
    • 基于语音的电话系统用户界面
    • US20070297581A1
    • 2007-12-27
    • US11474781
    • 2006-06-26
    • Yu-Ting KuoAdwait RatnaparkhiChristopher S. ThrasherJonathan J. CadizKuansan Wang
    • Yu-Ting KuoAdwait RatnaparkhiChristopher S. ThrasherJonathan J. CadizKuansan Wang
    • H04M11/00
    • H04L12/66
    • Various technologies and techniques are disclosed that improve the operation of a telephone using spoken commands. A virtual operator service is accessed, such as by a single input of a user. A user speaks a telephone command, and the command is forwarded to the virtual operator service. The spoken command is recorded and translated by the virtual operator. An operation associated with the translated spoken command is performed, such as a voice dialing operation, a call transfer operation, a call park operation, a call conference operation, a call screening operation, an announcement operation, a broadcast operation, or a remote control device operation. The result of the operation, such as a connected call, is provided to the user. The virtual operator service can be accessed during an ongoing call, and the ongoing call is parked while the virtual operator receives and processes the new spoken telephone command from the user.
    • 公开了使用口头命令来改善电话操作的各种技术和技术。 访问虚拟操作员服务,例如通过用户的单个输入。 用户说一个电话命令,并将该命令转发给虚拟操作员服务。 口头命令由虚拟操作员记录和翻译。 执行与翻译的口头命令相关联的操作,例如语音拨号操作,呼叫转移操作,呼叫驻留操作,呼叫会议操作,呼叫筛选操作,通知操作,广播操作或遥控器 设备操作。 操作的结果,例如连接的呼叫,被提供给用户。 可以在正在进行的呼叫期间访问虚拟运营商服务,并且在虚拟运营商从用户接收并处理新的口头电话命令的同时暂停正在进行的呼叫。
    • 10. 发明授权
    • Sensitivity categorization of web pages
    • 网页敏感性分类
    • US08589231B2
    • 2013-11-19
    • US12696006
    • 2010-01-28
    • Dragomir YankovSuju RajanScott J. GaffneyDun LiuWanlin PangAdwait Ratnaparkhi
    • Dragomir YankovSuju RajanScott J. GaffneyDun LiuWanlin PangAdwait Ratnaparkhi
    • G06Q30/00
    • G06Q30/02G06Q30/0277
    • Methods, systems, and computer programs for categorizing the sensitivity of web pages are presented. In one method, a space of sensitive pages is identified based on the sensitivity categorization of a first plurality of web pages and a second plurality of web pages. The first plurality of web pages is obtained by performing search queries using known sensitive words, and the second plurality of web pages includes randomly selected web pages. Additionally, the method identifies a third plurality of web pages that includes web pages on or near the boundary between the space of sensitive pages and the space of non-sensitive pages. The space of sensitive pages is then redefined based on the sensitivity categorization of the first, second, and third pluralities of web pages. Once the space of sensitive pages is defined, the method is used to determine that a given web page is sensitive when the given web page is in the space of sensitive pages. Web pages are included in a marketing operation when the web pages are not sensitive.
    • 介绍了分类网页敏感度的方法,系统和计算机程序。 在一种方法中,基于第一多个网页和第二多个网页的灵敏度分类来识别敏感页面的空间。 通过使用已知敏感词执行搜索查询获得第一多个网页,并且第二多个网页包括随机选择的网页。 此外,该方法识别在敏感页面的空间和非敏感页面的空间之间的边界上或附近包括网页的第三多个网页。 然后,基于第一,第二和第三多个网页的灵敏度分类,重新定义敏感页面的空间。 一旦定义了敏感页面的空间,当给定的网页位于敏感页面的空间中时,该方法用于确定给定的网页是否敏感。 当网页不敏感时,网页被包含在营销操作中。