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1. 发明授权

US10083248B2 Method and system for topic-based browsing 有权
公开(公告)号：US10083248B2
公开(公告)日：2018-09-25
申请号：US12755913
申请日：2010-04-07
申请人： Paul Broman , Jon Sweet , Tim Rechin , Jessi Dong , John Greene , Frank Yoo
发明人： Paul Broman , Jon Sweet , Tim Rechin , Jessi Dong , John Greene , Frank Yoo
IPC分类号： G06F17/30
CPC分类号： G06F16/957 , G06F16/338 , G06F16/951
摘要： Disclosed is a method and system for navigating, by a browser executing on the computing device, to a web page; transmitting by a client-side module executing on the computing device to a server computer over a network a request to the server computer for topics associated with the web page; receiving, by the computing device, a set of (one or more) topics associated with the web page from the server computer; displaying by the browser in a first content area the web page; and displaying by the browser in a second content area the received set of topics associated with the web page.

2. 发明申请

US20110252060A1 METHOD AND SYSTEM FOR TOPIC-BASED BROWSING 审中-公开
标题翻译：用于主题浏览的方法和系统
公开(公告)号：US20110252060A1
公开(公告)日：2011-10-13
申请号：US12755913
申请日：2010-04-07
申请人： Paul Broman , Jon Sweet , Tim Rechin , Jessi Dong , John Greene , Frank Yoo
发明人： Paul Broman , Jon Sweet , Tim Rechin , Jessi Dong , John Greene , Frank Yoo
IPC分类号： G06F17/30 , G06F15/16 , G06F3/00
CPC分类号： G06F17/30899 , G06F17/30696 , G06F17/30864
摘要： Disclosed is a method and system for navigating, by a browser executing on the computing device, to a web page; transmitting by a client-side module executing on the computing device to a server computer over a network a request to the server computer for topics associated with the web page; receiving, by the computing device, a set of (one or more) topics associated with the web page from the server computer; displaying by the browser in a first content area the web page; and displaying by the browser in a second content area the received set of topics associated with the web page.
摘要翻译：公开了一种通过在计算设备上执行的浏览器导航到网页的方法和系统; 由在计算设备上执行的客户端模块通过网络向服务器计算机发送与所述网页相关联的主题的对所述服务器计算机的请求; 由所述计算设备从所述服务器计算机接收与所述网页相关联的一组（一个或多个）主题; 由浏览器在第一内容区域中显示该网页; 以及由所述浏览器在第二内容区域中显示与所述网页相关联的所接收的一组主题。

3. 发明授权

US09323843B2 Method and system for performing bi-directional search 有权
标题翻译：执行双向搜索的方法和系统
公开(公告)号：US09323843B2
公开(公告)日：2016-04-26
申请号：US12755938
申请日：2010-04-07
申请人： Paul Broman , Jon Sweet , Tim Rechin , Jessi Dong , Frank Yoo , Burke Culligan
发明人： Paul Broman , Jon Sweet , Tim Rechin , Jessi Dong , Frank Yoo , Burke Culligan
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30011 , G06F17/30864 , G06F17/3089
摘要： When a user enters a primary search query into a primary search query input area to perform a first search of the primary search query, disclosed is a method and system for automatically entering the primary search query into a secondary search query input area to perform a second search of the primary search query. When the user enters a secondary search query into the secondary search query input area to perform a first search of the secondary search query, the method and system automatically enters the secondary search query into the primary search query input area to perform a second search of the secondary search query.
摘要翻译：当用户将主搜索查询输入主搜索查询输入区域以执行主搜索查询的第一搜索时，公开了一种用于将主搜索查询自动输入到辅助搜索查询输入区域中以执行第二搜索查询输入区域的方法和系统搜索主搜索查询。当用户将辅助搜索查询输入到辅助搜索查询输入区域中以执行辅助搜索查询的第一搜索时，该方法和系统自动将辅助搜索查询输入到主搜索查询输入区域中，以执行第二搜索查询辅助搜索查询。

4. 发明申请

US20110252343A1 METHOD AND SYSTEM FOR PERFORMING BI-DIRECTIONAL SEARCH 有权
标题翻译：用于执行双向搜索的方法和系统
公开(公告)号：US20110252343A1
公开(公告)日：2011-10-13
申请号：US12755938
申请日：2010-04-07
申请人： Paul Broman , Jon Sweet , Tim Rechin , Jessi Dong , Frank Yoo , Burke Culligan
发明人： Paul Broman , Jon Sweet , Tim Rechin , Jessi Dong , Frank Yoo , Burke Culligan
IPC分类号： G06F17/30 , G06F15/16 , G06F3/048
CPC分类号： G06F17/30867 , G06F17/30011 , G06F17/30864 , G06F17/3089
摘要： When a user enters a primary search query into a primary search query input area to perform a first search of the primary search query, disclosed is a method and system for automatically entering the primary search query into a secondary search query input area to perform a second search of the primary search query. When the user enters a secondary search query into the secondary search query input area to perform a first search of the secondary search query, the method and system automatically enters the secondary search query into the primary search query input area to perform a second search of the secondary search query.
摘要翻译：当用户将主搜索查询输入主搜索查询输入区域以执行主搜索查询的第一搜索时，公开了一种用于将主搜索查询自动输入到辅助搜索查询输入区域中以执行第二搜索查询输入区域的方法和系统搜索主搜索查询。当用户将辅助搜索查询输入到辅助搜索查询输入区域中以执行辅助搜索查询的第一搜索时，该方法和系统自动将辅助搜索查询输入到主搜索查询输入区域中，以执行第二搜索查询辅助搜索查询。

5. 发明申请

US20130024318A1 SUPPLEMENTING A TRAINED MODEL USING INCREMENTAL DATA IN MAKING ITEM RECOMMENDATIONS 有权
标题翻译：在制作项目建议书中使用增量数据补充培训模型
公开(公告)号：US20130024318A1
公开(公告)日：2013-01-24
申请号：US13618647
申请日：2012-09-14
申请人： Qiong Zhang , Wei Du , Wei Yu , Biswadeep Nag , Jessi Dong
发明人： Qiong Zhang , Wei Du , Wei Yu , Biswadeep Nag , Jessi Dong
IPC分类号： G06Q30/00
CPC分类号： G06N99/005 , G06N5/045
摘要： Incremental training data is used to supplement a trained model to provide personalized recommendations for a user. The personalized recommendations can be made by taking into account the user's behavior, such as, without limitation, the user's short and long term web page interactions, to identify item recommendations. A trained model is generated from training data indicative of the web page interaction data collected from a plurality of users. Incremental training data indicative of other web page interaction data can be used to supplement the trained model, or in place of the trained model. Incremental training data can be indicative of user behavior collected more recently than the data used to train the model, for example.
摘要翻译：增量训练数据用于补充训练有素的模型，为用户提供个性化的建议。可以通过考虑用户的行为（例如但不限于用户的短期和长期网页交互）来识别项目建议来进行个性化建议。从训练数据生成训练模型，指示从多个用户收集的网页交互数据。可以使用指示其他网页交互数据的增量训练数据来补充训练的模型，或代替训练的模型。例如，增量训练数据可以指示比用于训练模型的数据最近收集的用户行为。

6. 发明申请

US20090327081A1 System to Correlate Online Advertisement 审中-公开
标题翻译：系统关联在线广告
公开(公告)号：US20090327081A1
公开(公告)日：2009-12-31
申请号：US12163114
申请日：2008-06-27
申请人： Charles Wang , Jessi Dong , Sam P. Hamilton , Michael Helman , Chris Kalaboulds , Jianbin Wei
发明人： Charles Wang , Jessi Dong , Sam P. Hamilton , Michael Helman , Chris Kalaboulds , Jianbin Wei
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0269
摘要： This patent discloses a method to display an online advertisement to a user. The online advertisement may include an object ad profile, at least one user ad profile, and a users personal profile. The method may determine whether to display the online advertisement to the user by comparing at least one of (i) a personal profile of the user and an ad profile of the user to at least one of (ii) the object ad profile, the at least one user ad profile, and the users personal profile.
摘要翻译：该专利公开了一种向用户显示在线广告的方法。在线广告可以包括对象广告简档，至少一个用户广告简档和用户个人简档。该方法可以通过将（i）用户的个人简档和用户的广告简档中的至少一个与（ii）对象广告简档，at 至少一个用户广告配置文件和用户个人资料。

7. 发明授权

US08442929B2 Predicting item-item affinities based on item features by regression 有权
标题翻译：通过回归预测基于项目特征的项目项目亲和度
公开(公告)号：US08442929B2
公开(公告)日：2013-05-14
申请号：US12613503
申请日：2009-11-05
申请人： Seung-Taek Park , Wei Chu , Wei Du , Uminder Singh , Jessi Dong
发明人： Seung-Taek Park , Wei Chu , Wei Du , Uminder Singh , Jessi Dong
IPC分类号： G06F17/00 , G06N5/00
CPC分类号： G06Q10/04
摘要： Two items are determined to be similar to each not only based on previous actual user behavior, but also based on the observed relatedness of the characteristics of those two items. A first characteristic and a second characteristic are determined to have some affinity for each other if a high proportion of users who select items having the first characteristics also select items that have the second characteristic, and vice-versa. Two items having characteristics with high affinity for each other are determined to have some similarity to each other, even if very few or no users who selected one of those items ever selected the other of those items. A first item that is determined to be sufficiently similar to second item in this manner may be recommended to a user who has selected the second item as potentially also being of interest to that user.
摘要翻译：确定两个项目与每个项目类似，不仅基于以前的实际用户行为，而且还基于所观察到的这两个项目的特征的相关性。如果选择具有第一特征的项目的高比例的用户也选择具有第二特征的项目，则第一特征和第二特征被确定为彼此具有一些亲和力，反之亦然。具有彼此具有高亲和力特征的两个项目被确定为彼此具有一些相似性，即使选择了这些项目中的一个的用户很少或没有选择其中一个项目。可以向已经选择第二项目的用户潜在地也对该用户感兴趣的用户推荐被确定为以这种方式与第二项目充分相似的第一项目。

8. 发明申请

US20090171763A1 System and method for online advertising driven by predicting user interest 审中-公开
标题翻译：通过预测用户兴趣推动在线广告系统和方法
公开(公告)号：US20090171763A1
公开(公告)日：2009-07-02
申请号：US12006179
申请日：2007-12-31
申请人： Jessi Dong , Wei Du , Sam P. Hamilton , Michael Helman , Aparna Seetharaman , Yang Wang
发明人： Jessi Dong , Wei Du , Sam P. Hamilton , Michael Helman , Aparna Seetharaman , Yang Wang
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q10/04 , G06Q30/0273 , G06Q40/00
摘要： An improved system and method for online advertising driven by predicting user interest is provided. An advertising demand engine may be provided for selecting advertisements to be served to a user for display with requested content. An advertisement may be correlated to an advertisement previously selected by a user or by other users in the user's segment. An advertising correlation engine may be provided for correlating an advertisement to another advertisement using collaborative filtering, an advertising clustering engine may be provided for clustering correlated advertisements using item-based collaborative filtering, and a user correlation engine may be provided for segmenting users by selected advertisements and creating a cluster of advertisements associated with each cluster of users. Correlated advertisements that are selected may be allocated web page placements and then served to a user for display with requested content.
摘要翻译：提供了一种通过预测用户兴趣推动的改进的在线广告系统和方法。可以提供广告需求引擎用于选择要被提供给用户的广告以便显示所请求的内容。广告可以与先前由用户或用户区段中的其他用户选择的广告相关联。可以提供广告相关引擎，用于使用协作过滤将广告与另一广告相关联，可以提供广告聚类引擎用于使用基于项目的协作过滤来聚类相关联的广告，并且可以提供用户相关引擎，用于通过选择的广告来分割用户以及创建与每个用户群集相关联的广告群集。所选择的相关广告可以被分配网页展示，然后被提供给用户以显示所请求的内容。

9. 发明申请

US20110107260A1 PREDICTING ITEM-ITEM AFFINITIES BASED ON ITEM FEATURES BY REGRESSION 有权
标题翻译：基于项目功能的预测项目活动
公开(公告)号：US20110107260A1
公开(公告)日：2011-05-05
申请号：US12613503
申请日：2009-11-05
申请人： Seung-Taek Park , Wei Chu , Wei Du , Uminder Singh , Jessi Dong
发明人： Seung-Taek Park , Wei Chu , Wei Du , Uminder Singh , Jessi Dong
IPC分类号： G06F3/048
CPC分类号： G06Q10/04
摘要： Two items are determined to be similar to each not only based on previous actual user behavior, but also based on the observed relatedness of the characteristics of those two items. A first characteristic and a second characteristic are determined to have some affinity for each other if a high proportion of users who select items having the first characteristics also select items that have the second characteristic, and vice-versa. Two items having characteristics with high affinity for each other are determined to have some similarity to each other, even if very few or no users who selected one of those items ever selected the other of those items. A first item that is determined to be sufficiently similar to second item in this manner may be recommended to a user who has selected the second item as potentially also being of interest to that user.
摘要翻译：确定两个项目与每个项目类似，不仅基于以前的实际用户行为，而且还基于所观察到的这两个项目的特征的相关性。如果选择具有第一特征的项目的高比例的用户也选择具有第二特征的项目，则第一特征和第二特征被确定为彼此具有一些亲和力，反之亦然。具有彼此具有高亲和力特征的两个项目被确定为彼此具有一些相似性，即使选择了这些项目中的一个的用户很少或没有选择其中一个项目。可以向已经选择第二项目的用户潜在地也对该用户感兴趣的用户推荐被确定为以这种方式与第二项目充分相似的第一项目。

10. 发明申请

US20110029464A1 SUPPLEMENTING A TRAINED MODEL USING INCREMENTAL DATA IN MAKING ITEM RECOMMENDATIONS 有权
标题翻译：在制作项目建议书中使用增量数据补充培训模型
公开(公告)号：US20110029464A1
公开(公告)日：2011-02-03
申请号：US12533632
申请日：2009-07-31
申请人： QIONG ZHANG , Wei Du , Wei Yu , Biswadeep Nag , Jessi Dong
发明人： QIONG ZHANG , Wei Du , Wei Yu , Biswadeep Nag , Jessi Dong
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06N99/005 , G06N5/045
摘要： Incremental training data is used to supplement a trained model to provide personalized recommendations for a user. The personalized recommendations can be made by taking into account the user's behavior, such as, without limitation, the user's short and long term web page interactions, to identify item recommendations. A trained model is generated from training data indicative of the web page interaction data collected from a plurality of users. Incremental training data indicative of other web page interaction data can be used to supplement the trained model, or in place of the trained model. Incremental training data can be indicative of user behavior collected more recently than the data used to train the model, for example.
摘要翻译：增量训练数据用于补充训练有素的模型，为用户提供个性化的建议。可以通过考虑用户的行为（例如但不限于用户的短期和长期网页交互）来识别项目建议来进行个性化建议。从训练数据生成训练模型，指示从多个用户收集的网页交互数据。可以使用指示其他网页交互数据的增量训练数据来补充训练的模型，或代替训练的模型。例如，增量训练数据可以指示比用于训练模型的数据最近收集的用户行为。

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