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
    • 5. 发明申请
    • Interest Expansion Using A Taxonomy
    • 利用分类法扩大兴趣
    • US20140108439A1
    • 2014-04-17
    • US13650077
    • 2012-10-11
    • Digvijay Singh LambaXiaoyong Chai
    • Digvijay Singh LambaXiaoyong Chai
    • G06F17/30
    • G06F17/30734G06F17/30702G06F17/30867
    • Disclosed are methods for inferring interests of a user based on declared interests of the user. Text for which a user has expressed interest, e.g. “liked” is evaluated to identify at least one principal concept. A principal article for the principal concept is located in a taxonomy and the link structure of the taxonomy analyzed to identify candidate articles related to the principal article. The candidate articles are scored according to a plurality of metrics and these scored are weighted and combined for a final score. Candidate articles are selected for the score and recommendations are generated and recommendations generated based on the concepts of the selected candidate articles.
    • 公开的是基于用户声明的兴趣来推断用户兴趣的方法。 用户表示兴趣的文字,例如 评估“喜欢”以确定至少一个主要概念。 主要概念的主要文章位于分类学中,并分析了分类学的链接结构,以确定与主要文章相关的候选文章。 候选文章根据多个度量进行评分,并且对这些评分进行加权并组合以获得最终得分。 选择候选文章以获得分数,并根据所选择的候选文章的概念生成建议和建议。
    • 7. 发明申请
    • MASSIVE RULE-BASED CLASSIFICATION ENGINE
    • 大规模分类发动机
    • US20140149409A1
    • 2014-05-29
    • US13685626
    • 2012-11-26
    • Digvijay Singh Lamba
    • Digvijay Singh Lamba
    • G06F17/30
    • 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。
    • 9. 发明授权
    • Massive rule-based classification engine
    • 大规模的基于规则的分类引擎
    • US08935252B2
    • 2015-01-13
    • US13685626
    • 2012-11-26
    • Digvijay Singh Lamba
    • Digvijay Singh Lamba
    • G06F17/30
    • 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。
    • 10. 发明授权
    • Establishing “is a” relationships for a taxonomy
    • 建立“是分类学的关系”
    • US08874553B2
    • 2014-10-28
    • US13630345
    • 2012-09-28
    • Digvijay Singh LambaOmkar DeshoandeXiaoyong Chai
    • Digvijay Singh LambaOmkar DeshoandeXiaoyong 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。