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 |
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代理人 |
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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 |