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1. 发明申请

US20160070791A1 Generating Search Engine-Optimized Media Question and Answer Web Pages 审中-公开
标题翻译：生成搜索引擎优化的媒体问答网页
公开(公告)号：US20160070791A1
公开(公告)日：2016-03-10
申请号：US14479046
申请日：2014-09-05
申请人： Chegg, Inc.
发明人： Marc Eberhart , Andrew Nicholas Smolik , Ankit Garg , Charmy Chhichhia
IPC分类号： G06F17/30
CPC分类号： G06F16/951
摘要： An online system generates web pages for user-generated questions that are structured to rank highly in search results generated by external search engines. The online system receives a question uploaded to the online system by a user. The question includes media content, such as an image, a voice recording, or a video. The online system transcribes the media content of the question and applies a web page template to the question content to generate a web page. The template includes a metadata description, a breadcrumb, and a uniform resource locator. At least one of the metadata description, breadcrumb, and uniform resource locator comprises a portion of the transcribed media content of the question. The online system publishes the web page at a location specified by the uniform resource locator.
摘要翻译：在线系统为用户生成的问题生成网页，这些问题的结构在外部搜索引擎生成的搜索结果中排名很高。在线系统收到用户上传到在线系统的问题。该问题包括媒体内容，例如图像，录音或视频。在线系统转录问题的媒体内容，并将网页模板应用于问题内容以生成网页。模板包括元数据描述，面包屑和统一资源定位符。元数据描述，面包屑和统一资源定位符中的至少一个包括问题的转录媒体内容的一部分。在线系统将网页发布在由统一资源定位器指定的位置。

2. 发明申请

US20160147891A1 Building a Topical Learning Model in a Content Management System 有权
标题翻译：在内容管理系统中构建专题学习模型
公开(公告)号：US20160147891A1
公开(公告)日：2016-05-26
申请号：US14553798
申请日：2014-11-25
申请人： Chegg, Inc.
发明人： Charmy Chhichhia , Vincent Le Chevalier
IPC分类号： G06F17/30
CPC分类号： G06F17/30011 , G06F17/30412 , G06F17/30598 , G06F17/30699 , G06F17/30867 , G06F17/30896
摘要： A content management system receives a plurality of topics extracted from documents stored by the system. Pairings between the topics are generated, where a pairing between two topics is generated responsive to the two topics appearing in proximity to one another in one or more of the documents. A complexity of each received topic is also determined. The content management system generates a progression of the topics based on the complexity of the topics and the pairings between the topics. The progression comprises a sequential ordering of paired topics, in which a topic in the ordering has a higher complexity than a preceding topic. Responsive to a user of the content management system accessing content associated with a topic in the progression, a next topic in the progression is recommended to the user.
摘要翻译：内容管理系统接收从系统存储的文档中提取的多个主题。生成主题之间的配对，其中响应于在一个或多个文档中彼此接近的两个主题而产生两个主题之间的配对。每个接收到的主题的复杂性也被确定。内容管理系统基于主题的复杂性和主题之间的配对来生成主题的进展。进程包括配对主题的顺序排序，其中排序中的主题具有比前一主题更高的复杂度。响应于内容管理系统的用户访问与进度中的主题相关联的内容，向用户推荐该进度中的下一个主题。

3. 发明申请

US20150324459A1 METHOD AND APPARATUS TO BUILD A COMMON CLASSIFICATION SYSTEM ACROSS MULTIPLE CONTENT ENTITIES 审中-公开
标题翻译：构建多个内容实体的通用分类系统的方法和装置
公开(公告)号：US20150324459A1
公开(公告)日：2015-11-12
申请号：US14274189
申请日：2014-05-09
申请人： Chegg, Inc.
发明人： Charmy Chhichhia , Paul Chris Sri , Vincent Le Chevalier
IPC分类号： G06F17/30 , G06N7/02 , G06N99/00
CPC分类号： G06N20/00 , G06F16/35 , G06F16/353 , G06F16/93 , G06N7/02
摘要： A content classification system classifies documents of a plurality of content entities into a hierarchical discipline structure. The content classification system receives a set of taxonomic labels collectively defining a hierarchical taxonomy and a plurality of documents. Each document is associated with one of the content entities. The content classification system extracts features from the received documents. A learned model is generated for assigning taxonomic labels to documents associated with a representative content entity using the features extracted from documents associated with the representative content entity. The content classification system assigns one or more taxonomic labels to each document of the other content entities using the learned model applied to the features extracted from the respective document. The documents of the plurality of content entities are classified based on the assigned taxonomic labels.
摘要翻译：内容分类系统将多个内容实体的文档分类为分级纪律结构。内容分类系统接收一组共同定义分级分类和多个文档的分类标签。每个文档都与一个内容实体相关联。内容分类系统从接收到的文档中提取特征。生成学习模型，用于使用从与代表性内容实体相关联的文档中提取的特征将分类标签分配给与代表性内容实体相关联的文档。内容分类系统使用应用于从相应文档提取的特征的学习模型向其他内容实体的每个文档分配一个或多个分类标签。基于所分配的分类标签对多个内容实体的文档进行分类。

4. 发明授权

US09852132B2 Building a topical learning model in a content management system 有权
公开(公告)号：US09852132B2
公开(公告)日：2017-12-26
申请号：US14553798
申请日：2014-11-25
申请人： Chegg, Inc.
发明人： Charmy Chhichhia , Vincent Le Chevalier
IPC分类号： G06F17/30
CPC分类号： G06F17/30011 , G06F17/30412 , G06F17/30598 , G06F17/30699 , G06F17/30867 , G06F17/30896
摘要： A content management system receives a plurality of topics extracted from documents stored by the system. Pairings between the topics are generated, where a pairing between two topics is generated responsive to the two topics appearing in proximity to one another in one or more of the documents. A complexity of each received topic is also determined. The content management system generates a progression of the topics based on the complexity of the topics and the pairings between the topics. The progression comprises a sequential ordering of paired topics, in which a topic in the ordering has a higher complexity than a preceding topic. Responsive to a user of the content management system accessing content associated with a topic in the progression, a next topic in the progression is recommended to the user.

5. 发明申请

US20160034757A1 Generating an Academic Topic Graph from Digital Documents 审中-公开
标题翻译：从数字文档生成学术主题图
公开(公告)号：US20160034757A1
公开(公告)日：2016-02-04
申请号：US14448983
申请日：2014-07-31
申请人： Chegg, Inc.
发明人： Charmy Chhichhia , Vincent Le Chevalier
IPC分类号： G06K9/00
CPC分类号： G06K9/00469 , G06F16/35 , G06K9/6219 , G06K9/6282
摘要： Documents of a content management system are classified into a hierarchical taxonomy comprising a hierarchy of nodes, such that each document is associated with a node in the hierarchical taxonomy. For each of a plurality of topics extracted from the documents, a topic extraction system determines an affinity of the topic to respective nodes of the hierarchical taxonomy. Based on the determined affinities, a topic graph is generated for display to a user. The topic graph identifies one or more nodes of the hierarchical taxonomy and a plurality of topics associated with each of the one or more nodes, and each topic is linked to a corresponding node in the topic graph. Responsive to receiving a selection of a topic in the topic graph, identifiers of documents from which the selected topic was extracted are displayed.
摘要翻译：内容管理系统的文档被分类为包括节点层级的分级分类，使得每个文档与分级分类法中的节点相关联。对于从文档提取的多个主题中的每一个，主题提取系统确定主题与分层分类法的相应节点的亲和度。基于所确定的亲和度，生成主题图以供用户显示。主题图识别分层分类法的一个或多个节点以及与一个或多个节点中的每一个相关联的多个主题，并且每个主题链接到主题图中的对应节点。响应于在主题图中接收到主题的选择，显示了从其中提取所选主题的文档的标识符。

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