会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 3. 发明授权
    • Massive rule-based classification engine
    • 大规模的基于规则的分类引擎
    • US09582586B2
    • 2017-02-28
    • US14563438
    • 2014-12-08
    • Wal-Mart Stores, Inc.
    • Digvijay Singh Lamba
    • G06F17/30G06N5/04
    • G06F17/30867G06F17/30598G06F17/3071G06N5/046
    • Systems and methods are disclosed herein for performing classification of documents or performing other tasks based on rules. A rule generator receives a request for a rule that will receive as an input a document and output an outcome such as a classification of the document, addition of the document to a whitelist or blacklist, or occurrence of some other outcome. The rules are applied to a document and the document and outcome of the rules are presented to a rater. A rating of the accuracy of the outcome is received from the rater and the rating is propagated to quality metrics of rules that contributed to the outcome. Rules with a quality metric above a threshold may be added to a production rule set. Rules with a quality metric below a threshold may be removed.
    • 本文公开了用于执行文档分类或基于规则执行其他任务的系统和方法。 规则生成器接收到将作为输入文档接收的规则的请求,并输出结果,例如文档的分类,将文档添加到白名单或黑名单,或发生某种其他结果。 规则适用于文件,规则的文件和结果将提交给评估者。 从评分者获得结果的准确性评级,评级被传播到有助于结果的规则的质量度量。 质量指标高于阈值的规则可能会添加到生产规则集中。 质量指标低于阈值的规则可能会被删除。
    • 6. 发明授权
    • Document quality measurement
    • 文件质量测量
    • US09286379B2
    • 2016-03-15
    • US13685570
    • 2012-11-26
    • WAL-MART STORES, INC.
    • Fan YangDigvijay Singh Lamba
    • G06K9/46G06F17/30
    • G06F17/30707G06K9/46
    • Systems and methods are disclosed herein for ranking the quality of documents, such as documents shared or referenced in postings by users. For a first set of documents quality attributes that are indicative of quality or lack of quality are identified. Ratings of the quality of the first set of documents are received. Classifiers are associated with each document and the ratings and quality attributes for each attribute used to train class-specific models corresponding to the classifiers. Subsequently received documents are then classified and corresponding quality attributes are evaluated using the corresponding class-specific model in order to rank the quality of the document.
    • 本文公开的系统和方法用于对文档的质量进行排序,诸如在用户张贴中共享或引用的文档。 对于第一组文件,确定了指示质量或缺乏质量的质量属性。 收到第一套文件的质量等级。 分类器与每个文档相关联,以及用于训练与分类器对应的特定于类别的模型的每个属性的评级和质量属性。 随后收到的文件被分类,并使用相应的类别特定模型评估相应的质量属性,以便对文档的质量进行排序。
    • 7. 发明授权
    • Automatic taxonomy merge
    • 自动分类合并
    • US09152705B2
    • 2015-10-06
    • US13659844
    • 2012-10-24
    • Wal-Mart Stores, Inc.
    • Digvijay Singh LambaNamrata PramodKumar TholiyaOmkar Deshpande
    • G06F7/00G06F17/30
    • G06F17/30731
    • A method for merging two taxonomies is disclosed. Top levels of first and second taxonomies are merged. For the second taxonomy nodes are evaluated and selectively merged with nodes of the first taxonomy according to comparison of scores for these nodes with a threshold. The score for a node of the first taxonomy is a combination of one or more of a lineage quality score, Jaccard distance, string edit distance, and category depth score. After an iteration, mergings between nodes of the first and second taxonomies may be reversed if child nodes of the merged nodes were not likewise merged. Iterations may be repeated until no nodes are merged in an iteration.
    • 公开了一种合并两种分类法的方法。 顶级和第二级分类法合并。 对于第二个分类,根据这些节点的分数与阈值的比较,评估节点并选择性地与第一个分类的节点合并。 第一分类法的节点的分数是一个或多个谱系质量得分,雅可比距离,字符串编辑距离和类别深度得分的组合。 在迭代之后,如果合并节点的子节点不被同时合并,则可以颠倒第一和第二分类的节点之间的合并。 可以重复迭代,直到没有节点在迭代中合并。
    • 8. 发明授权
    • Transforming a graph to a tree in accordance with analyst guidance
    • 根据分析师的指导,将图形转换为树
    • US09092547B2
    • 2015-07-28
    • US13622975
    • 2012-09-19
    • Wal-Mart Stores, Inc.
    • Digvijay Singh LambaOmkar Deshpande
    • G06F7/00G06F17/30
    • G06F17/30958G06F17/30961
    • Methods are disclosed for converting a directed graph to a taxonomy using guidelines from a user. An initial tree is output from a first pruning step in which subtree preferences (and other weights) are applied to preserve or remove paths from a node to one or more levels of descendent nodes. Subtree preferences (and infoboxes) may specify rules for automatically generating recommendations during application to nodes. In a second pruning step, the directed graph is again processed with additional weightings applied to edges in the graph in accordance with the recommendations. The recommendations may be human defined. Recommendations may specify a recommended ancestor for a particular node and may include a weighting to be applied to the recommendation itself, if there are multiple conflicting recommendations for the same node. Recommendations may also specify what standard weight to apply to the edge of the best parent.
    • 公开了使用来自用户的指南将有向图转换成分类法的方法。 从第一个修剪步骤输出初始树,其中应用子树首选项(和其他权重)以保留或删除从节点到一个或多个等级的后代节点的路径。 子树偏好(和信息框)可以指定在应用到节点期间自动生成建议的规则。 在第二个修剪步骤中,根据建议,再次对有向图进行处理,其中额外的加权应用于图中的边。 建议可能是人为的。 建议书可以为特定节点指定推荐的祖先,并且如果针对同一节点存在多个冲突建议,则可以包括要应用于推荐本身的加权。 建议书还可以规定适用于最佳父母边缘的标准体重。
    • 10. 发明授权
    • Establishing “is a” relationships for a taxonomy
    • 建立“是分类学的关系”
    • US09087044B2
    • 2015-07-21
    • US13630325
    • 2012-09-28
    • Wal-Mart Stores, Inc.
    • Digvijay Singh LambaXiaoyong Chai
    • G06F17/30G06F17/27
    • G06F17/2785G06F17/277G06F17/2795G06F17/30654G06F17/3069G06F17/30734
    • Disclosed are methods for returning to a user an answer to the question “what is .” Concepts and classes to which the concepts belong are determined from a corpus, such as taxonomy. The concepts are mapped to categories according to the structure of the taxonomy. Homonyms for words are collected and scored according to likeliness of use. Concept vectors are assembled for the identified concepts based on articles in the corpus and social media usage. Words are evaluated for generic-ness and a generic score is associated therewith. In responding to a query, the generic-ness of the terms of the query is evaluated and additional context solicited if the terms are generic. Candidate homonym concepts for a string in the query are selected according to context vectors for the homonym concepts. One or more homonym concepts are selected and the one or more categories corresponding to these concepts are returned.
    • 公开的方法是向用户返回“什么是”的问题的答案。概念属于的概念和类是从语料库(如分类法)确定的。 概念根据分类结构映射到类别。 词的同义词根据使用的可能性进行收集和评分。 基于语料库和社交媒体使用中的文章,针对识别的概念组合概念向量。 对于通用性进行评估,并且通用分数与之相关联。 在响应查询时,如果术语是通用的,则对查询的条款的通用性进行评估,并附加附加内容。 根据和声概念的上下文向量选择查询中的字符串的候选和声概念。 选择一个或多个同音符概念,并且返回与这些概念对应的一个或多个类别。