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1. 发明授权

US10387436B2 Training a classification model to predict categories 有权
公开(公告)号：US10387436B2
公开(公告)日：2019-08-20
申请号：US15260105
申请日：2016-09-08
申请人： WAL-MART STORES, INC.
发明人： Namrata Pramodkumar Tholiya , Abhishek Gattani
IPC分类号： G06Q30/06 , G06F16/332 , G06F16/2455 , G06F16/2457
摘要： The present invention extends to methods, systems, and computer program products for training a classification model to predict categories. In one implementation, a method identifies category mappings generated for dominant queries associated with a query log. The method identifies mappings between a first set of queries and categories shown for the first set of queries, and identifies mappings between a second set of queries and clicked products for the second set of queries. A classification model is trained based on the mappings generated for dominant queries, the mappings between queries and the shown categories, and the mappings between queries and the clicked products.

2. 发明授权

US09563667B2 Ranking search results based on color 有权
标题翻译：按颜色排列搜索结果
公开(公告)号：US09563667B2
公开(公告)日：2017-02-07
申请号：US15163554
申请日：2016-05-24
申请人： WAL-MART STORES, INC.
发明人： Ba-Quy Vuong , Abhishek Gattani , Namrata Pramodkumar Tholiya
IPC分类号： G06F17/30 , G06Q30/06
CPC分类号： G06F17/3053 , G06F17/30554 , G06F17/30867 , G06Q30/0641
摘要： Ranking search results based on color including evaluating whether a color term in a search query was intended to identify an actual color and returning different search results based on that determination. When an actual color was intended, an initial product ranking is updated based on color similarity of the product. In some embodiments, a color similarity score is calculated using a color difference formula, a cosine similarity measurement is determined of a cosine of an angle between a query vector and a title vector, and the color is considered to have been intended to identify the actual color when the cosine similarity measurement is less than a threshold value. In particular embodiments, the query vector includes individual terms of the search query and a number of occurrences of each individual term. Different embodiments include computer implemented systems and methods.
摘要翻译：基于颜色排列搜索结果，包括评估搜索查询中的颜色项是否旨在识别实际颜色，并根据该确定返回不同的搜索结果。当想要实际的颜色时，基于产品的颜色相似性来更新初始产品排名。在一些实施例中，使用色差公式计算颜色相似度分数，由查询向量和标题向量之间的角度的余弦确定余弦相似性度量，并且该颜色被认为是用于识别实际的余弦相似度测量值小于阈值时的颜色。在特定实施例中，查询向量包括搜索查询的单独项和每个单独项的出现次数。不同的实施例包括计算机实现的系统和方法。

3. 发明申请

US20140324853A1 SEARCH RELEVANCE 有权
标题翻译：搜索相关
公开(公告)号：US20140324853A1
公开(公告)日：2014-10-30
申请号：US14194330
申请日：2014-02-28
申请人： Wal-Mart Stores, Inc.
发明人： Namrata Pramodkumar Tholiya , Abhishek Gattani
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30598 , G06F17/30648 , G06F17/30696 , G06F17/30864 , G06Q30/0201
摘要： The present invention extends to methods, systems, and computer program products for improving search relevance. In one implementation, a method identifies a first group of mappings generated for dominant queries associated with a query log. The method also identifies a second group of mappings that includes mappings between a first set of queries and categories shown for the first set of queries, and mappings between a second set of queries and clicked products for the second set of queries. Upon receipt of a query, the method applies the second group of mappings for the received query if the category mappings for the received query are in the second group of mappings. Alternatively, the method applies the first group of mappings for the received query if the category mappings for the received query are in the first group of mappings but not in the second group of mappings.
摘要翻译：本发明扩展到用于提高搜索相关性的方法，系统和计算机程序产品。在一个实现中，一种方法标识与查询日志相关联的主要查询生成的第一组映射。该方法还标识第二组映射，其包括第一组查询和为第一组查询显示的类别之间的映射，以及用于第二组查询的第二组查询和点击的产品之间的映射。在接收到查询后，如果接收到的查询的类别映射处于第二组映射中，则该方法对接收到的查询应用第二组映射。或者，如果所接收的查询的类别映射处于第一组映射中而不是在第二组映射中，则该方法对于所接收的查询应用第一组映射。

4. 发明申请

US20140324851A1 CLASSIFYING E-COMMERCE QUERIES TO GENERATE CATEGORY MAPPINGS FOR DOMINANT PRODUCTS 审中-公开
标题翻译：分类电子商务查询以生成主要产品的类别映射
公开(公告)号：US20140324851A1
公开(公告)日：2014-10-30
申请号：US13874023
申请日：2013-04-30
申请人： WAL-MART STORES, INC.
发明人： Namrata Pramodkumar Tholiya , Abhishek Gattani
IPC分类号： G06F17/30
CPC分类号： G06F16/951
摘要： The present invention extends to methods, systems, and computer program products for classifying e-commerce queries to generate category mappings for dominant products. A query log is mined for any query records with click through information that indicates one or more products were selected from among corresponding query results. For each of one or more categories, a selection rate is calculated for any product selected from among at least one corresponding query result returned in response to a query of the category. A specified top number of products are identified in the category. The specified top number of products has higher selection rates relative to other products in the category. A category score is calculated for the category based on product information associated with the specified top number of products in the category. The one or more categories are ranked based on the calculated category scores.
摘要翻译：本发明扩展到方法，系统和计算机程序产品，用于分类电子商务查询以产生主导产品的类别映射。对于具有点击信息的任何查询记录，都会为查询日志开采，以指示从相应的查询结果中选择一个或多个产品。对于一个或多个类别中的每一个，对从响应于该类别的查询返回的至少一个相应查询结果中选择的任何产品计算选择率。该类别中指定了最高数量的产品。相对于该类别中的其他产品，指定的最高数量的产品具有较高的选择率。根据与该类别中指定的最高产品数量相关联的产品信息，为类别计算类别分数。一个或多个类别根据计算的类别分数进行排名。

5. 发明申请

US20140280112A1 SEARCH RESULT RANKING BY DEPARTMENT 有权
标题翻译：搜索结果由部门排名
公开(公告)号：US20140280112A1
公开(公告)日：2014-09-18
申请号：US13840263
申请日：2013-03-15
申请人： WAL-MART STORES, INC.
发明人： Jinxing Cheng , Abhishek Gattani
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30864 , G06Q30/00
摘要： Systems and methods are disclosed herein for providing search results, particularly product records from a product database. Past queries are analyzed and grouped into clusters according to similarities with one another. For an individual query, relevant search results are identified and departments corresponding thereto are also identified. Confidence scores are determined for the identified departments and if one or more departments have confidence scores above a threshold, the search results are filtered based thereon. If not, then departments corresponding to a query cluster relevant to the query are selected. Additional departments may also be selected based on the number of search results corresponding to the additional departments. Search results filtered according to one or more selected departments are transmitted to an author of the query.
摘要翻译：本文公开的系统和方法用于提供搜索结果，特别是来自产品数据库的产品记录。过去的查询被分析并且根据彼此的相似性被分组成簇。对于单个查询，确定相关搜索结果，并且还识别与其对应的部门。对所识别的部门确定信心分数，并且如果一个或多个部门的置信度分数高于阈值，则搜索结果基于此而被过滤。如果没有，则选择与查询相关的查询集群相应的部门。还可以根据与附加部门相对应的搜索结果的数量来选择其他部门。根据一个或多个所选部门过滤的搜索结果被传送给查询的作者。

6. 发明申请

US20140278924A1 SELECTIVELY ALTERING REQUESTS BASED ON COMPARISON OF POTENTIAL VALUE OF REQUESTS 审中-公开
标题翻译：根据要求的潜在价值比较选择性地改变要求
公开(公告)号：US20140278924A1
公开(公告)日：2014-09-18
申请号：US13800234
申请日：2013-03-13
申请人： WAL-MART STORES, INC.
发明人： Yan Zheng , Junying Yu , Abhishek Gattani
IPC分类号： G06F17/30
CPC分类号： G06F16/24 , G06F9/5027 , G06F16/951 , G06F2209/5013 , G06F2209/504 , Y02D10/22
摘要： The present invention is generally directed to methods, systems, and computer program products for selectively altering the processing of a request based on a potential value of the request. When an undesirably high number of requests are being received by a server system, the server system can identify requests that have a potential value greater than a potential value of one or more other requests. The server system can then alter the processing of the requests having the lower potential value thereby ensuring that requests with higher potential value are processed adequately.
摘要翻译：本发明一般涉及用于基于请求的潜在值选择性地改变请求的处理的方法，系统和计算机程序产品。当服务器系统正在接收到不期望的高数量的请求时，服务器系统可以识别具有大于一个或多个其他请求的潜在值的潜在值的请求。然后，服务器系统可以改变具有较低电位值的请求的处理，从而确保具有较高电位值的请求被充分处理。

7. 发明授权

US09600529B2 Attribute-based document searching 有权
公开(公告)号：US09600529B2
公开(公告)日：2017-03-21
申请号：US13828331
申请日：2013-03-14
申请人： Wal-Mart Stores, Inc.
发明人： Jinxing Cheng , Abhishek Gattani
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30401 , G06F17/30864
摘要： Systems and methods are disclosed herein for providing search results, particularly product records from a product database. Tokens of a query are identified. Product records including one or more tokens in values associated with the attributes thereof are identified. A score is generated for attributes of products including a token (an attribute-token score). The attribute-token score is based on a frequency of occurrence of the token in the attribute value and a length of the attribute value in which it occurs. The attribute-token scores for the token are summed to generated a score. The token score for a token may be scaled in a non-linear fashion such that the scaled value approaches a saturation value, which may be an inverse document frequency (IDF) score for the token. The scaled values may then be summed to generate a score for the document that is used to rank the search results.

8. 发明申请

US20160378771A1 SEARCH RELEVANCE 审中-公开
标题翻译：搜索相关
公开(公告)号：US20160378771A1
公开(公告)日：2016-12-29
申请号：US15260130
申请日：2016-09-08
申请人： WAL-MART STORES, INC.
发明人： Namrata Pramodkumar Tholiya , Abhishek Gattani
IPC分类号： G06F17/30 , G06Q30/02
CPC分类号： G06F16/24578 , G06F16/285 , G06F16/3326 , G06F16/338 , G06F16/951 , G06Q30/0201
摘要： The present invention extends to methods, systems, and computer program products for training a classification model to predict categories. In one implementation, a method identifies category mappings generated for dominant queries associated with a query log. The method identifies mappings between a first set of queries and categories shown for the first set of queries, and identifies mappings between a second set of queries and clicked products for the second set of queries. A classification model is trained based on the mappings generated for dominant queries, the mappings between queries and the shown categories, and the mappings between queries and the clicked products.
摘要翻译：本发明扩展到用于训练分类模型以预测类别的方法，系统和计算机程序产品。在一个实现中，一种方法识别为与查询日志相关联的主要查询生成的类别映射。该方法识别针对第一组查询显示的第一组查询和类别之间的映射，并且识别用于第二组查询的第二组查询和点击的产品之间的映射。基于为主要查询生成的映射，查询和所示类别之间的映射以及查询和点击的产品之间的映射，对分类模型进行了培训。

9. 发明申请

US20160321741A1 SYSTEM AND METHOD OF MODULE-BASED WEBSITE DATA ORGANIZATION 审中-公开
标题翻译：基于模块的网站数据组织系统与方法
公开(公告)号：US20160321741A1
公开(公告)日：2016-11-03
申请号：US14701384
申请日：2015-04-30
申请人： Wal-Mart Stores, Inc.
发明人： Huizhong Duan , Abhishek Gattani , Kuo Yu , Ba-Quy Vuong
IPC分类号： G06Q30/06
CPC分类号： G06Q30/0643 , G06Q30/0625
摘要： A system is provided including a user interface and a processing device. The user interface is accessible to the user and includes at least one zone configured to display a module, the at least one zone having an associated module definition. The module definition comprises a visual organization of a plurality of product-related data elements sharing at least one common attribute. The processor includes a module definition unit and a module generation unit. The module definition unit includes a plurality of module definitions and is configured to provide at least one module definition in response to the presence of the at least one zone on the user interface. The module generation unit is configured to generate a module for display within the at least one zone by collecting the product-related data from a database as a function of the module definition and the collected product-related data.
摘要翻译：提供了包括用户界面和处理装置的系统。用户界面对于用户是可访问的，并且包括被配置为显示模块的至少一个区域，所述至少一个区域具有相关联的模块定义。模块定义包括共享至少一个公共属性的多个与产品相关的数据元素的视觉组织。处理器包括模块定义单元和模块生成单元。模块定义单元包括多个模块定义，并且被配置为响应于在用户界面上存在至少一个区域来提供至少一个模块定义。模块生成单元被配置为通过根据模块定义和所收集的产品相关数据从数据库收集与产品相关的数据来生成用于在至少一个区域内显示的模块。

10. 发明授权

US09305118B2 Selecting search result images based on color 有权
标题翻译：根据颜色选择搜索结果图像
公开(公告)号：US09305118B2
公开(公告)日：2016-04-05
申请号：US13730748
申请日：2012-12-28
申请人： Wal-Mart Stores, Inc.
发明人： Ba-Quy Vuong , Abhishek Gattani , Namrata PramodKumar Tholiya
IPC分类号： G06F17/30
CPC分类号： G06F17/30991 , G06F17/3025 , G06F17/30675
摘要： Example systems and methods that select search result images are described. In one implementation, a method accesses a ranking of multiple products associated with a search query and identifies a reference to a color in the search query. The method identifies a first product from the ranking of multiple products and identifies multiple product images associated with the first product. A color determination is made regarding each of the multiple product images. A product image having an associated color that is most similar to the color in the search query is selected for presentation in the search results.
摘要翻译：描述选择搜索结果图像的示例系统和方法。在一个实现中，方法访问与搜索查询相关联的多个产品的排名，并且识别对搜索查询中的颜色的引用。该方法从多个产品的排名中识别第一个产品，并且识别与第一个产品相关联的多个产品图像。对多个商品图像中的每一个进行颜色判定。选择具有与搜索查询中的颜色最相似的相关联颜色的产品图像以在搜索结果中呈现。

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