发明名称 Building a Topical Learning Model in a Content Management System
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.
申请公布号 US2016147891(A1) 申请公布日期 2016.05.26
申请号 US201414553798 申请日期 2014.11.25
申请人 Chegg, Inc. 发明人 Chhichhia Charmy;Le Chevalier Vincent
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method for recommending a topic to a user of a content management system, the method comprising: receiving a plurality of topics extracted from documents of the content management system; generating pairings between the received topics, a pairing between two topics generated responsive to the two topics appearing in proximity to one another in one or more of the documents; determining a complexity of each received topic; generating a progression of the topics based on the complexity of the topics and the pairings between the topics, the progression comprising a sequential ordering of paired topics in which a topic in the ordering has a higher complexity than a preceding topic; and responsive to a user of the content management system accessing content associated with a topic in the progression, recommending a next topic in the progression to the user.
地址 Santa Clara CA US