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1. 发明授权

US09633117B2 System and method for making a recommendation based on user data 有权
公开(公告)号：US09633117B2
公开(公告)日：2017-04-25
申请号：US12430411
申请日：2009-04-27
申请人： Martin B. Scholz , Rong Pan , Rajan Lukose
发明人： Martin B. Scholz , Rong Pan , Rajan Lukose
IPC分类号： G06F17/30 , G06Q30/06
CPC分类号： G06Q30/0631 , G06F17/30345 , G06F17/30861 , G06F17/30867 , H04L67/025 , H04L67/22
摘要： There is described a system and computer-implemented method for providing a recommendation based on a sparse pattern of data. An exemplary method comprises determining a likelihood that an item for which no user preference data is available will be preferred. The exemplary method also comprises determining a likelihood that an item for which user preference data is available for users other than a particular user will be preferred based on the likelihood that the item for which no user preference data is available will be preferred. The exemplary method additionally comprises predicting that an item for which no user preference data relative to the particular user is available will be preferred if the likelihood that the particular user will prefer the item exceeds a certain level.

2. 发明授权

US09356849B2 Population category hierarchies 有权
标题翻译：人口类别等级
公开(公告)号：US09356849B2
公开(公告)日：2016-05-31
申请号：US13985110
申请日：2011-02-16
申请人： Rajan Lukose , Craig P. Sayers , Martin B. Scholz
发明人： Rajan Lukose , Craig P. Sayers , Martin B. Scholz
IPC分类号： G06F15/173 , H04L12/26 , G06F17/30 , G06Q30/02
CPC分类号： H04L43/08 , G06F17/30539 , G06Q30/0201
摘要： Developing a population category hierarchy can include providing a candidate category hierarchy, including a number of candidate categories, and a mapping between a number of reference pages and the number of candidate categories, including a number of mapped reference pages (143). Population usage data of the number of mapped reference pages can be obtained and used to determine a population traffic metric for each of the number of candidate categories (147). A number of population categories can be generated by using the population traffic metric of each of the number of candidate categories (149); and, a population category hierarchy can be produced including the number of population categories (151).
摘要翻译：开发种群类别层级可以包括提供包括多个候选类别的候选类别层级，以及多个参考页面与候选类别的数量之间的映射，包括多个映射的参考页面（143）。可以获得映射参考页数的人口使用数据，并用于确定每个候选类别（147）中的每一个的总体流量度量。可以通过使用每个候选类别的人口流量度量来生成多个种群类别（149）; 并且可以生成包括人口类别数量（151）的种群类别层次。

3. 发明申请

US20130086160A1 SOCIAL AND CONTEXTUAL RECOMMENDATIONS 有权
标题翻译：社会和背景建议
公开(公告)号：US20130086160A1
公开(公告)日：2013-04-04
申请号：US13248706
申请日：2011-09-29
申请人： Shyam Sundar Rajaram , Rajan Lukose , Martin B. Scholz , Craig Peter Sayers
发明人： Shyam Sundar Rajaram , Rajan Lukose , Martin B. Scholz , Craig Peter Sayers
IPC分类号： G06F15/16
CPC分类号： G06Q30/00 , G06Q30/02 , G06Q50/01 , H04L51/32
摘要： A method performed by a processing system includes receiving a recommendation from a source user in response to performing an action corresponding to an action context of the recommendation, determining whether the source user appears in social network information of a target user, and distinguishing a presentation of the recommendation to the target user in response to the source user appearing in the social network information of the target user.
摘要翻译：由处理系统执行的方法包括响应于执行与推荐的动作上下文相对应的动作，从源用户接收推荐，确定源用户是否出现在目标用户的社交网络信息中，并且区分呈现响应于源用户出现在目标用户的社交网络信息中的目标用户的推荐。

4. 发明授权

US08224693B2 Advertisement selection based on key words 有权
标题翻译：基于关键词的广告选择
公开(公告)号：US08224693B2
公开(公告)日：2012-07-17
申请号：US12465947
申请日：2009-05-14
申请人： Rajan Lukose , Martin B. Scholz , Shyam S. Rajaram
发明人： Rajan Lukose , Martin B. Scholz , Shyam S. Rajaram
IPC分类号： G06Q30/00
CPC分类号： G06F17/30707 , G06Q30/02 , G06Q30/0207 , G06Q30/0277
摘要： A computer-implemented method comprises running, by a processor, a plurality of classifiers on a web page to obtain one or more keywords. The method further comprises selecting, by the processor, advertisements based on the one or more keywords.
摘要翻译：计算机实现的方法包括由处理器在网页上运行多个分类器以获得一个或多个关键字。该方法还包括由处理器基于一个或多个关键字选择广告。

5. 发明申请

US20120158741A1 COLLABORATIVE FILTERING WITH HASHING 有权
标题翻译：与洗涤的协同过滤
公开(公告)号：US20120158741A1
公开(公告)日：2012-06-21
申请号：US12970262
申请日：2010-12-16
申请人： Martin B. Scholz , Shyamsundar Rajaram , Rajan Lukose
发明人： Martin B. Scholz , Shyamsundar Rajaram , Rajan Lukose
IPC分类号： G06F17/30
CPC分类号： G06F17/3053
摘要： Systems, methods, and machine readable and executable instructions are provided for collaborative filtering. Collaborative filtering includes representing users and objects by rows and columns in an ordinal ratings matrix having a particular dimensional space. Values in the ordinal ratings matrix are weighted with a weight matrix having the particular dimensional space. The weight matrix is hashed into a lower dimensional space by one of row and column by multiplying a projection matrix by the weight matrix. The ordinal ratings matrix is hashed into a lower dimensional space by multiplying the projection matrix by an element-wise product of the weight matrix and the ordinal ratings matrix to form a reduced ratings matrix, and element-wise dividing the reduced ratings matrix by the hashed weight matrix. The hashed ordinal ratings matrix and the hashed weight matrix are low-rank approximated by alternating least squares. A result of the low-rank approximation for the one of row and column is updated using the ordinal ratings matrix and the weight matrix. A recommendation of one of the objects can be generated for one of the users based on the updated result.
摘要翻译：提供系统，方法和机器可读和可执行指令用于协同过滤。协作过滤包括用具有特定尺寸空间的序数等级矩阵中的行和列表示用户和对象。使用具有特定尺寸空间的权重矩阵对序数等级矩阵中的值进行加权。通过将投影矩阵乘以权重矩阵，权重矩阵通过行和列之一被散列成较低维空间。通过将投影矩阵乘以权重矩阵和序数等级矩阵的元素乘积来将序数等级矩阵散列到较低维空间中，以形成减小的等级矩阵，并且将分数矩阵除以散列重量矩阵。散列序数等级矩阵和散列权重矩阵是通过交替的最小二乘法近似的低阶。使用序数等级矩阵和权重矩阵来更新行和列之一的低阶近似的结果。可以基于更新的结果为一个用户生成其中一个对象的推荐。

6. 发明申请

US20110106817A1 METHODS AND SYSTEMS FOR DETERMINING UNKNOWNS IN COLLABORATIVE FILTERING 有权
标题翻译：用于确定协同过滤中的知识的方法和系统
公开(公告)号：US20110106817A1
公开(公告)日：2011-05-05
申请号：US12609327
申请日：2009-10-30
申请人： Rong Pan , Martin B. Scholz
发明人： Rong Pan , Martin B. Scholz
IPC分类号： G06F17/30 , G06N7/02
CPC分类号： G06Q30/02 , G06Q30/0282
摘要： Embodiments of the present invention are directed to methods and systems for determining unknowns in rating matrices. In one embodiment, a method comprises forming a rating matrix, where each matrix element corresponds to a known favorable user rating associated with an item or an unknown user rating associated with an item. The method includes determining a weight matrix configured to assign a weight value to each of the unknown matrix elements, and sampling the rating matrix to generate an ensemble of training matrices. Weighted maximum-margin matrix factorization is applied to each training matrix to obtain corresponding sub-rating matrix, the weights based on the weight matrix. The sub-rating matrices are combined to obtain an approximate rating matrix that can be used to recommend items to users based on the rank ordering of the corresponding matrix elements.
摘要翻译：本发明的实施例涉及用于确定评级矩阵中的未知数的方法和系统。在一个实施例中，一种方法包括形成评级矩阵，其中每个矩阵元素对应于与项目相关联的已知有利用户评级或与项目相关联的未知用户评级。该方法包括确定权重矩阵，其被配置为向每个未知矩阵元素分配权重值，以及对该等级矩阵进行采样以生成训练矩阵的集合。加权最大边缘矩阵因子分解被应用于每个训练矩阵以获得相应的次级矩阵，权重基于权重矩阵。将子评级矩阵组合以获得可以用于基于相应矩阵元素的秩排序向用户推荐项目的近似等级矩阵。

7. 发明申请

US20110035378A1 METHOD AND SYSTEM FOR CHARACTERIZING WEB CONTENT 有权
标题翻译：表征WEB内容的方法和系统
公开(公告)号：US20110035378A1
公开(公告)日：2011-02-10
申请号：US12538405
申请日：2009-08-10
申请人： Martin B. Scholz , Shyam Sundar Rajaram , Rajan Lukose
发明人： Martin B. Scholz , Shyam Sundar Rajaram , Rajan Lukose
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/3071
摘要： An exemplary embodiment of the present invention provides a method of processing Web activity data. The method includes obtaining a database of Website organizational data. The method also includes generating a data structure from the database of Website organizational data comprising an Item identifier and a Website category corresponding to the item identifier. The method also includes generating a reduced-rank classification structure from the data structure, the reduced-rank classification structure including a category grouping corresponding to one or more of the Website categories.
摘要翻译：本发明的示例性实施例提供了一种处理Web活动数据的方法。该方法包括获取网站组织数据的数据库。该方法还包括从站点组织数据的数据库生成数据结构，该数据结构包括项目标识符和对应于项目标识符的网站类别。该方法还包括从数据结构生成降级分类结构，降级分类结构包括对应于一个或多个网站类别的类别分组。

8. 发明申请

US20110029515A1 METHOD AND SYSTEM FOR PROVIDING WEBSITE CONTENT 审中-公开
标题翻译：提供网站内容的方法和系统
公开(公告)号：US20110029515A1
公开(公告)日：2011-02-03
申请号：US12533763
申请日：2009-07-31
申请人： Martin B. Scholz , Shyam Sundar Rajaram , George Forman , Rajan Lukose , Henri J. Suermondt
发明人： Martin B. Scholz , Shyam Sundar Rajaram , George Forman , Rajan Lukose , Henri J. Suermondt
IPC分类号： G06F17/30
CPC分类号： G06F16/9535
摘要： An exemplary embodiment of the present invention provides a method of receiving Website content. The method includes generating a user profile comprising a cluster type obtained from a list of cluster types, wherein the list of cluster types is generated by processing a database of search queries. The method includes providing the relevant cluster types included in the user profile to a selected Website, wherein the cluster type sent to the Website is used by the Website at least in part to determine the content provided by the Website.
摘要翻译：本发明的示例性实施例提供了一种接收网站内容的方法。该方法包括生成包括从集群类型的列表获得的集群类型的用户简档，其中，通过处理搜索查询的数据库来生成集群类型的列表。该方法包括将用户简档中包括的相关群集类型提供给所选择的网站，其中发送到网站的群集类型至少部分地由网站使用以确定网站提供的内容。

9. 发明申请

US20110029463A1 APPLYING NON-LINEAR TRANSFORMATION OF FEATURE VALUES FOR TRAINING A CLASSIFIER 有权
标题翻译：应用非线性变换功能值进行分类器的培训
公开(公告)号：US20110029463A1
公开(公告)日：2011-02-03
申请号：US12512243
申请日：2009-07-30
申请人： GEORGE H. FORMAN , Martin B. Scholz , Shyam Sundar Rajaram
发明人： GEORGE H. FORMAN , Martin B. Scholz , Shyam Sundar Rajaram
IPC分类号： G06F15/18 , G06F17/30
CPC分类号： G06F17/3071
摘要： A collection of labeled training cases is received, where each of the labeled training cases has at least one original feature and a label with respect to at least one class. Non-linear transformation of values of the original feature in the training cases is applied to produce transformed feature values that are more linearly related to the class than the original feature values. The non-linear transformation is based on computing probabilities of the training cases that are positive with respect to the at least one class. The transformed feature values are used to train a classifier.
摘要翻译：收到标签培训案例的集合，其中每个标记的培训案例至少有一个原始特征和至少一个类别的标签。应用训练样本中原始特征值的非线性变换，以产生与原始特征值更为线性相关的变换特征值。非线性变换是基于相对于至少一个类别是积极的训练情况的计算概率。转换的特征值用于训练分类器。

10. 发明申请

US20100191694A1 Collaborative Filtering Systems and Methods 有权
标题翻译：协同过滤系统和方法
公开(公告)号：US20100191694A1
公开(公告)日：2010-07-29
申请号：US12359167
申请日：2009-01-23
申请人： Rong Pan , Rajan Lukose , Martin B. Scholz
发明人： Rong Pan , Rajan Lukose , Martin B. Scholz
IPC分类号： G06N5/02 , G06F17/30
CPC分类号： G06F17/30029 , G06F17/30867 , G06Q10/04
摘要： A collaborative filtering method for evaluating a group of items to aid in predicting utility of items for a particular user comprises assigning an item value of either known or missing to each item of the group of items, and applying a modification scheme to the item values of the missing items to assign a confidence value to each of the item values of the missing items to thereby generate a group of modified item values. The group of items having modified item values and the group known items are evaluated to generate a prediction of utility of items for a particular user.
摘要翻译：用于评估一组项目以帮助预测特定用户的项目的效用的协同过滤方法包括将已知或缺失的项目值分配给该组项目的每个项目，并将修改方案应用于项目值丢失的项目来为缺失项目的每个项目值分配置信度值，从而生成一组修改后的项目值。对具有修改项目值的项目组和组已知项目进行评估以产生用于特定用户的项目的效用的预测。

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