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1. 发明申请

US20150112918A1 METHOD AND SYSTEM FOR RECOMMENDING CONTENT TO A USER 审中-公开
标题翻译：用于建议用户内容的方法和系统
公开(公告)号：US20150112918A1
公开(公告)日：2015-04-23
申请号：US14385274
申请日：2012-03-17
申请人： Zhaohui Zheng , Xin Li , Rongqing Lu , Shuanghong Yang
发明人： Zhaohui Zheng , Xin Li , Rongqing Lu , Shuanghong Yang
IPC分类号： G06F17/30 , G06N5/04
摘要： Method, system, and programs for recommending content to a user. First information related to one or more previous users is first obtained. A model that maps from users to topics of interest is then established based on the first information related to the one or more previous users. Second information related to the current user is also obtained. One or more topics of interest are identified for the current user based on the model. Content is recommended to the current user in accordance with the one or more topics of interest for the current user. Eventually, an updated model is generated by integrating information associated with the current user with the model established based on the first information related to the one or more previous users. The information associated with the current user includes the second information related to the current user.
摘要翻译：用于向用户推荐内容的方法，系统和程序。首先获得与一个或多个先前用户相关的第一信息。然后基于与一个或多个先前用户相关的第一信息建立从用户映射到感兴趣主题的模型。还获得了与当前用户相关的第二信息。基于该模型为当前用户识别感兴趣的一个或多个主题。根据当前用户感兴趣的一个或多个主题向当前用户推荐内容。最终，通过将与当前用户相关联的信息与基于与一个或多个先前用户相关的第一信息建立的模型进行集成来生成更新的模型。与当前用户相关联的信息包括与当前用户相关的第二信息。

2. 发明授权

US08589371B2 Learning retrieval functions incorporating query differentiation for information retrieval 有权
标题翻译：学习检索功能，包含信息检索的查询差异
公开(公告)号：US08589371B2
公开(公告)日：2013-11-19
申请号：US13538237
申请日：2012-06-29
申请人： Gordon Sun , Zhaohui Zheng , Hongyuan Zha
发明人： Gordon Sun , Zhaohui Zheng , Hongyuan Zha
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3069
摘要： The system and method of the present invention allows for the determination of the relevance of a content item to a query through the use of a machine learned relevance function that incorporate query differentiation. A method for selecting a relevance function to determine a relevance of a query-content item pair comprises generating a training set comprising one or more content item-query pairs. Content item-query pairs in the training set are collectively used to determine the relevance function by minimizing a loss function according to a relevance score adjustment function that accounts for query differentiation. The monotocity of relevance score adjustment function allows the trained relevance function to be directly applied to new queries.
摘要翻译：本发明的系统和方法允许通过使用结合查询区分的机器学习的相关性功能来确定内容项与查询的相关性。用于选择相关函数以确定查询内容项对的相关性的方法包括生成包括一个或多个内容项查询对的训练集。训练集中的内容项 - 查询对被统一用于根据考虑到查询区分的相关性分数调整功能来最小化损失函数来确定相关性函数。相关性分数调整功能的一致性允许训练有素的相关函数直接应用于新查询。

3. 发明授权

US08489590B2 Cross-market model adaptation with pairwise preference data 有权
标题翻译：跨市场模型适应与成对偏好数据
公开(公告)号：US08489590B2
公开(公告)日：2013-07-16
申请号：US12966983
申请日：2010-12-13
申请人： Yi Chang , Zhaohui Zheng , Fernando David Diaz , Jing Bai
发明人： Yi Chang , Zhaohui Zheng , Fernando David Diaz , Jing Bai
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30864
摘要： Embodiments are directed towards generating market-specific ranking models by leveraging target market specific pairwise preference data. The pairwise preference data includes market-specific training examples, while a ranking model from another market captures the common characteristics of the resulting ranking model. In one embodiment, the ranking model is trained by applying a Tree Based Ranking Function Adaptation (TRADA) algorithm to multi-grade labeled training data, such as editorially generated training data. Then, contradictions between the TRADA generated ranking model and target-market specific pairwise preference data are identified. For each identified contradiction, new training data is generated to correct the contradiction. Then, in one embodiment, an algorithm such as TRADA is applied to the existing ranking model and the new training data to generate a new ranking model.
摘要翻译：实施例旨在通过利用目标市场特定的成对偏好数据来产生市场特定的排名模型。成对偏好数据包括市场特定的培训示例，而来自另一个市场的排名模型捕获了所得到的排名模型的共同特征。在一个实施例中，通过将基于树的排序函数适应（TRADA）算法应用于诸如编辑生成的训练数据的多等级标记的训练数据来训练排名模型。然后，确定了TRADA产生的排名模型和目标市场特定成对偏好数据之间的矛盾。对于每个确定的矛盾，产生新的训练数据以纠正矛盾。然后，在一个实施例中，诸如TRADA的算法被应用于现有的排名模型和新的训练数据以生成新的排名模型。

4. 发明申请

US20130132401A1 RELATED NEWS ARTICLES 有权
标题翻译：相关新闻文章
公开(公告)号：US20130132401A1
公开(公告)日：2013-05-23
申请号：US13298932
申请日：2011-11-17
申请人： Taesup Moon , Zhaohui Zheng , Yi Chang , Pranam Kolari , Xuanhui Wang , Yuanhua Lv
发明人： Taesup Moon , Zhaohui Zheng , Yi Chang , Pranam Kolari , Xuanhui Wang , Yuanhua Lv
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30967 , G06F17/30994
摘要： Methods, systems, and computer programs are presented for providing internet content, such as related news articles. One method includes an operation for defining a plurality of candidates based on a seed. For each candidate, scores are calculated for relevance, novelty, connection clarity, and transition smoothness. The score for connection clarity is based on a relevance score of the intersection between the words in the seed and the words in each of the candidates. Further, the score for transition smoothness measures the interest in reading each candidate when transitioning from the seed to the candidate. For each candidate, a relatedness score is calculated based on the calculated scores for relevance, novelty, connection clarity, and transition smoothness. In addition, at least one of the candidates is selected based on their relatedness scores for presentation to the user.
摘要翻译：提供方法，系统和计算机程序，用于提供互联网内容，如相关的新闻文章。一种方法包括基于种子定义多个候选的操作。对于每个候选人，计算相关性，新颖性，连接清晰度和过渡平滑度的分数。连接清晰度的分数基于种子中的单词和每个候选词中的单词之间的交集的相关性分数。此外，过渡平滑度的得分衡量了从种子转移到候选人时阅读每个候选人的兴趣。对于每个候选人，根据相关性，新颖性，连接清晰度和过渡平滑度的计算分数计算相关性分数。此外，基于用于呈现给用户的相关性分数来选择至少一个候选者。

5. 发明授权

US08250061B2 Learning retrieval functions incorporating query differentiation for information retrieval 有权
标题翻译：学习检索功能，包含信息检索的查询差异
公开(公告)号：US08250061B2
公开(公告)日：2012-08-21
申请号：US11343910
申请日：2006-01-30
申请人： Gordon Sun , Zhaohui Zheng , Hongyuan Zha
发明人： Gordon Sun , Zhaohui Zheng , Hongyuan Zha
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3069
摘要： The system and method of the present invention allows for the determination of the relevance of a content item to a query through the use of a machine learned relevance function that incorporate query differentiation. A method for selecting a relevance function to determine a relevance of a query-content item pair comprises generating a training set comprising one or more content item-query pairs. Content item-query pairs in the training set are collectively used to determine the relevance function by minimizing a loss function according to a relevance score adjustment function that accounts for query differentiation. The monotocity of relevance score adjustment function allows the trained relevance function to be directly applied to new queries.
摘要翻译：本发明的系统和方法允许通过使用结合查询区分的机器学习的相关性功能来确定内容项与查询的相关性。用于选择相关函数以确定查询内容项对的相关性的方法包括生成包括一个或多个内容项查询对的训练集。训练集中的内容项 - 查询对被统一用于根据考虑到查询区分的相关性分数调整功能来最小化损失函数来确定相关性函数。相关性分数调整功能的一致性允许训练有素的相关函数直接应用于新查询。

6. 发明授权

US08051072B2 Learning ranking functions incorporating boosted ranking in a regression framework for information retrieval and ranking 有权
标题翻译：学习排名功能在信息检索和排名的回归框架中加入了排名
公开(公告)号：US08051072B2
公开(公告)日：2011-11-01
申请号：US12060179
申请日：2008-03-31
申请人： Zhaohui Zheng , Hongyuan Zha , Gordon Sun
发明人： Zhaohui Zheng , Hongyuan Zha , Gordon Sun
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30702
摘要： Embodiments of the present invention provide for methods, systems and computer program products for learning ranking functions to determine the ranking of one or more content items that are responsive to a query. The present invention includes generating one or more training sets comprising one or more content item-query pairs, determining preference data for the one or more query-content item pairs of the one or more training sets and determining labeled data for the one or more query-content item pairs of the one or more training sets. A ranking function is determined based upon the preference data and the labeled data for the one or more content-item query pairs of the one or more training sets. The ranking function is then stored for application to query-content item pairs not contained in the one or more training sets.
摘要翻译：本发明的实施例提供了用于学习排名功能以确定响应于查询的一个或多个内容项目的排名的方法，系统和计算机程序产品。本发明包括生成包括一个或多个内容项查询对的一个或多个训练集合，确定所述一个或多个训练集合的一个或多个查询内容项目对的偏好数据，并确定所述一个或多个查询对象的标记数据 - 一个或多个训练集的内容项对。基于偏好数据和一个或多个训练集合的一个或多个内容项查询对的标记数据来确定排序功能。然后将排序函数存储以用于不包含在一个或多个训练集中的查询内容项对。

7. 发明申请

US20110231390A1 SESSION BASED CLICK FEATURES FOR RECENCY RANKING 有权
标题翻译：基于会话的点击功能
公开(公告)号：US20110231390A1
公开(公告)日：2011-09-22
申请号：US12725310
申请日：2010-03-16
申请人： Yoshiyuki Inagaki , Narayanan Sadagopan , Georges-Eric Albert Marie Robert Dupret , Ciya Liao , Anlei Dong , Yi Chang , Zhaohui Zheng
发明人： Yoshiyuki Inagaki , Narayanan Sadagopan , Georges-Eric Albert Marie Robert Dupret , Ciya Liao , Anlei Dong , Yi Chang , Zhaohui Zheng
IPC分类号： G06F17/30 , G06F15/18
CPC分类号： G06F17/30864
摘要： In one embodiment, access one or more query-resource pairs, wherein for each one of the query-resource pairs comprising one of one or more search queries and one of one or more network resources, the one search query is recency-sensitive with respect to a particular time period, and the one network resource is identified for the one search query, and a resource-view count and a resource-click count associated with each one of the query-resource pairs; and construct one or more first click features using the resource-view counts and the resource-click counts associated with the query-resource pairs. To construct one of the first click features in connection with one of the query-resource pairs comprises determine a only-resource-click count associated with the one query-resource pair; and calculate a ratio between the only-resource-click count and the resource-view count associated with the one query-resource pair as the one first click feature.
摘要翻译：在一个实施例中，访问一个或多个查询 - 资源对，其中对于包括一个或多个搜索查询中的一个和一个或多个网络资源中的一个的查询 - 资源对中的每个查询 - 资源对，所述一个搜索查询对于近似度敏感到特定时间段，并且为一个搜索查询标识一个网络资源，以及与每个查询 - 资源对相关联的资源视图计数和资源点击计数; 并使用资源视图计数和与查询 - 资源对相关联的资源点击计数构建一个或多个第一个点击功能。为了构建与其中一个查询 - 资源对相关联的第一个点击功能之一，包括确定与一个查询 - 资源对相关联的唯一资源点击计数; 并且计算唯一的资源点击计数和与一个查询资源对相关联的资源视图计数之间的比率作为一个第一点击特征。

8. 发明申请

US20100082609A1 SYSTEM AND METHOD FOR BLENDING USER RANKINGS FOR AN OUTPUT DISPLAY 审中-公开
标题翻译：用于混合输出显示器的用户排名的系统和方法
公开(公告)号：US20100082609A1
公开(公告)日：2010-04-01
申请号：US12242301
申请日：2008-09-30
申请人： Gordon Sun , Zhaohui Zheng , Hongyuan Zha
发明人： Gordon Sun , Zhaohui Zheng , Hongyuan Zha
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06F16/951
摘要： A method and system for blending ranking for an output display includes receiving a first list of content items having a first ranking determined by first ranking parameters, the first ranking providing for a sequential ordering of the content items of the first list. A second list of content items having a second ranking determined by second ranking parameters are received, the first ranking is incompatible with the second ranking because ranking parameters are different. The first list of content items is transformed to a modified first list that maintains the order of the content items and makes the first ranking of the modified first list compatible with the second ranking of the second list. The second list and the modified first list are merged to generate a blended list for an output display utilizing the blended list.
摘要翻译：一种用于混合输出显示的排名的方法和系统包括：接收具有由第一排名参数确定的第一排名的内容项目的第一列表，第一排名提供第一列表的内容项目的顺序排序。接收具有由第二排名参数确定的第二排名的内容项目的第二列表，因为排名参数不同，所以第一排名与第二排名不兼容。内容项目的第一列表被转换为维护内容项目的顺序的修改的第一列表，并且使修改的第一列表的第一排名与第二列表的第二排名兼容。第二列表和修改的第一列表被合并以利用混合列表生成用于输出显示的混合列表。

9. 发明申请

US20150142555A1 METHOD AND SYSTEM FOR ONLINE ADVERTISING 审中-公开
标题翻译：在线广告的方法和系统
公开(公告)号：US20150142555A1
公开(公告)日：2015-05-21
申请号：US14404367
申请日：2012-06-29
申请人： Zhaohui Zheng , Xin Li , Rongqing Lu
发明人： Zhaohui Zheng , Xin Li , Rongqing Lu
IPC分类号： G06Q30/02 , G06Q50/00
CPC分类号： G06Q30/0242 , G06Q30/0241 , G06Q30/0244 , G06Q30/0247 , G06Q30/0251 , G06Q30/0269 , G06Q30/0277 , G06Q50/01 , H04L12/1492 , H04L67/20
摘要： Method, system, and programs for online advertising are disclosed. One or more targets associated with an entity are identified based on a first piece of information related to each target and a second piece of information related to the entity. The one or more targets are considered as likely being interested in content that can be made available by the entity. A connection is established between the entity and each identified target through a bi-directional communication channel. Activities between the entity and each target through the bi-directional communication channel are monitored. The entity delivers the content to an identified target through the bi-directional communication channel established between the entity and the identified target. In response to the delivered content, the identified target is able to provide a feedback to the entity through the bi-directional communication channel.
摘要翻译：披露了在线广告的方法，系统和程序。基于与每个目标相关的第一条信息和与该实体相关的第二条信息来识别与一个实体相关联的一个或多个目标。一个或多个目标被认为可能对可由实体提供的内容感兴趣。通过双向通信信道在实体和每个识别的目标之间建立连接。通过双向通信通道监视实体与每个目标之间的活动。实体通过在实体和所识别的目标之间建立的双向通信信道将内容传送到所识别的目标。响应于传递的内容，所识别的目标能够通过双向通信信道向实体提供反馈。

10. 发明申请

US20150058320A1 METHOD AND SYSTEM FOR HYBRID INFORMATION QUERY 有权
标题翻译：混合信息查询的方法和系统
公开(公告)号：US20150058320A1
公开(公告)日：2015-02-26
申请号：US14385220
申请日：2012-03-17
申请人： Zhaohui Zheng , Rongqing Lu , Xin Li
发明人： Zhaohui Zheng , Rongqing Lu , Xin Li
IPC分类号： G06F17/30 , G06F21/62
CPC分类号： G06F17/30696 , G06F17/30011 , G06F17/30312 , G06F17/30619 , G06F17/30702 , G06F17/30705 , G06F17/30864 , G06F17/30867 , G06F21/6245
摘要： Method, system, and programs for hybrid information query. A request is first received from a user associated with a hybrid query. The hybrid query is expressed in accordance with an input in terms of one of a user, a feature, and a document, and a desired hybrid query result in terms of one of a user, a feature, and a document. A mapping is then determined between the input and the desired hybrid query result. A hybrid model is established based on hybrid information collected and associated with one or more users. The mapping is performed based on the hybrid model to obtain the desired hybrid query result based on the input. Eventually, the desired hybrid query result is provided as a response to the hybrid query.
摘要翻译：混合信息查询的方法，系统和程序。首先从与混合查询相关联的用户接收到请求。根据用户，特征和文档之一的输入以及用户，特征和文档之一的期望的混合查询结果来表示混合查询。然后在输入和期望的混合查询结果之间确定映射。基于收集并与一个或多个用户相关联的混合信息建立混合模型。基于混合模型进行映射，以基于输入获得所需的混合查询结果。最终，期望的混合查询结果作为对混合查询的响应被提供。

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